repository_name stringlengths 5 67 | func_path_in_repository stringlengths 4 234 | func_name stringlengths 0 314 | whole_func_string stringlengths 52 3.87M | language stringclasses 6
values | func_code_string stringlengths 52 3.87M | func_code_tokens listlengths 15 672k | func_documentation_string stringlengths 1 47.2k | func_documentation_tokens listlengths 1 3.92k | split_name stringclasses 1
value | func_code_url stringlengths 85 339 |
|---|---|---|---|---|---|---|---|---|---|---|
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | ClassSelector.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instances):
inst = None
data = self.input.payload
elif isinstance(self.input.payload, Instance):
inst = self.input.payload
data = inst.dataset
index = str(self.resolve_option("index"))
unset = bool(self.resolve_option("unset"))
if unset:
data.no_class()
else:
if index == "first":
data.class_is_first()
elif index == "last":
data.class_is_last()
else:
data.class_index = int(index) - 1
if inst is None:
self._output.append(Token(data))
else:
self._output.append(Token(inst))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instances):
inst = None
data = self.input.payload
elif isinstance(self.input.payload, Instance):
inst = self.input.payload
data = inst.dataset
index = str(self.resolve_option("index"))
unset = bool(self.resolve_option("unset"))
if unset:
data.no_class()
else:
if index == "first":
data.class_is_first()
elif index == "last":
data.class_is_last()
else:
data.class_index = int(index) - 1
if inst is None:
self._output.append(Token(data))
else:
self._output.append(Token(inst))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"input",
".",
"payload",
",",
"Instances",
")",
":",
"inst",
"=",
"None",
"data",
"=",
"self",
".",
"input",
".",
"payload",
"elif",
"isinstance",
"(",
"self",
".",
"in... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L687-L718 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Train.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Train, self).fix_config(options)
opt = "setup"
if opt not in options:
options[opt] = Classifier(classname="weka.classifiers.rules.ZeroR")
if opt not in self.help:
self.help[opt] = "The classifier/clusterer/associator to train (Classifier/Clusterer/Associator)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Train, self).fix_config(options)
opt = "setup"
if opt not in options:
options[opt] = Classifier(classname="weka.classifiers.rules.ZeroR")
if opt not in self.help:
self.help[opt] = "The classifier/clusterer/associator to train (Classifier/Clusterer/Associator)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"Train",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"setup\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"]"... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L761-L778 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Train.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instances):
inst = None
data = self.input.payload
else:
inst = self.input.payload
data = inst.dataset
retrain = False
if (self._header is None) or (self._header.equal_headers(data) is not None) or (inst is None):
retrain = True
self._header = Instances.template_instances(data, 0)
if retrain or (self._model is None):
cls = self.resolve_option("setup")
if isinstance(cls, Classifier):
self._model = Classifier.make_copy(cls)
elif isinstance(cls, Clusterer):
self._model = Clusterer.make_copy(cls)
elif isinstance(cls, Associator):
self._model = Associator.make_copy(cls)
else:
return "Unhandled class: " + classes.get_classname(cls)
if retrain:
if inst is not None:
data = Instances.template_instances(data, 1)
data.add_instance(inst)
if isinstance(self._model, Classifier):
self._model.build_classifier(data)
elif isinstance(self._model, Clusterer):
self._model.build_clusterer(data)
elif isinstance(self._model, Associator):
self._model.build_associations(data)
else:
if isinstance(self._model, Classifier):
self._model.update_classifier(inst)
elif isinstance(self._model, Clusterer):
self._model.update_clusterer(inst)
else:
return "Cannot train incrementally: " + classes.get_classname(self._model)
cont = ModelContainer(model=self._model, header=self._header)
self._output.append(Token(cont))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instances):
inst = None
data = self.input.payload
else:
inst = self.input.payload
data = inst.dataset
retrain = False
if (self._header is None) or (self._header.equal_headers(data) is not None) or (inst is None):
retrain = True
self._header = Instances.template_instances(data, 0)
if retrain or (self._model is None):
cls = self.resolve_option("setup")
if isinstance(cls, Classifier):
self._model = Classifier.make_copy(cls)
elif isinstance(cls, Clusterer):
self._model = Clusterer.make_copy(cls)
elif isinstance(cls, Associator):
self._model = Associator.make_copy(cls)
else:
return "Unhandled class: " + classes.get_classname(cls)
if retrain:
if inst is not None:
data = Instances.template_instances(data, 1)
data.add_instance(inst)
if isinstance(self._model, Classifier):
self._model.build_classifier(data)
elif isinstance(self._model, Clusterer):
self._model.build_clusterer(data)
elif isinstance(self._model, Associator):
self._model.build_associations(data)
else:
if isinstance(self._model, Classifier):
self._model.update_classifier(inst)
elif isinstance(self._model, Clusterer):
self._model.update_clusterer(inst)
else:
return "Cannot train incrementally: " + classes.get_classname(self._model)
cont = ModelContainer(model=self._model, header=self._header)
self._output.append(Token(cont))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"input",
".",
"payload",
",",
"Instances",
")",
":",
"inst",
"=",
"None",
"data",
"=",
"self",
".",
"input",
".",
"payload",
"else",
":",
"inst",
"=",
"self",
".",
"i... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L793-L843 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Filter.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "setup"
if opt not in options:
options[opt] = filters.Filter(classname="weka.filters.AllFilter")
if opt not in self.help:
self.help[opt] = "The filter to apply to the dataset (Filter)."
opt = "keep_relationname"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to keep the original relation name (bool)."
return super(Filter, self).fix_config(options) | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "setup"
if opt not in options:
options[opt] = filters.Filter(classname="weka.filters.AllFilter")
if opt not in self.help:
self.help[opt] = "The filter to apply to the dataset (Filter)."
opt = "keep_relationname"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to keep the original relation name (bool)."
return super(Filter, self).fix_config(options) | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"opt",
"=",
"\"setup\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"]",
"=",
"filters",
".",
"Filter",
"(",
"classname",
"=",
"\"weka.filters.AllFilter\"",
")",
"if",
"opt... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L885-L906 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Filter.check_input | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
if isinstance(token.payload, Instances):
return
if isinstance(token.payload, Instance):
return
raise Exception(self.full_name + ": Unhandled class: " + classes.get_classname(token.payload)) | python | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
if isinstance(token.payload, Instances):
return
if isinstance(token.payload, Instance):
return
raise Exception(self.full_name + ": Unhandled class: " + classes.get_classname(token.payload)) | [
"def",
"check_input",
"(",
"self",
",",
"token",
")",
":",
"if",
"token",
"is",
"None",
":",
"raise",
"Exception",
"(",
"self",
".",
"full_name",
"+",
"\": No token provided!\"",
")",
"if",
"isinstance",
"(",
"token",
".",
"payload",
",",
"Instances",
")",... | Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token | [
"Performs",
"checks",
"on",
"the",
"input",
"token",
".",
"Raises",
"an",
"exception",
"if",
"unsupported",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L908-L921 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Filter.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instance):
inst = self.input.payload
data = Instances.template_instances(inst.dataset, 1)
data.add_instance(inst)
else:
inst = None
data = self.input.payload
relname = data.relationname
keep = self.resolve_option("keep_relationname")
if inst is None:
if (self._filter is None) or self._header.equal_headers(data) is not None:
self._header = Instances.template_instances(data)
self._filter = filters.Filter.make_copy(self.resolve_option("setup"))
self._filter.inputformat(data)
filtered = self._filter.filter(data)
if keep:
filtered.relationname = relname
self._output.append(Token(filtered))
else:
if (self._filter is None) or self._header.equal_headers(data) is not None:
self._header = Instances.template_instances(data)
self._filter = filters.Filter.make_copy(self.resolve_option("setup"))
self._filter.inputformat(data)
filtered = self._filter.filter(data)
if keep:
filtered.relationname = relname
self._output.append(Token(filtered.get_instance(0)))
else:
self._filter.input(inst)
self._filter.batch_finished()
filtered = self._filter.output()
if keep:
filtered.dataset.relationname = relname
self._output.append(Token(filtered))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, Instance):
inst = self.input.payload
data = Instances.template_instances(inst.dataset, 1)
data.add_instance(inst)
else:
inst = None
data = self.input.payload
relname = data.relationname
keep = self.resolve_option("keep_relationname")
if inst is None:
if (self._filter is None) or self._header.equal_headers(data) is not None:
self._header = Instances.template_instances(data)
self._filter = filters.Filter.make_copy(self.resolve_option("setup"))
self._filter.inputformat(data)
filtered = self._filter.filter(data)
if keep:
filtered.relationname = relname
self._output.append(Token(filtered))
else:
if (self._filter is None) or self._header.equal_headers(data) is not None:
self._header = Instances.template_instances(data)
self._filter = filters.Filter.make_copy(self.resolve_option("setup"))
self._filter.inputformat(data)
filtered = self._filter.filter(data)
if keep:
filtered.relationname = relname
self._output.append(Token(filtered.get_instance(0)))
else:
self._filter.input(inst)
self._filter.batch_finished()
filtered = self._filter.output()
if keep:
filtered.dataset.relationname = relname
self._output.append(Token(filtered))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"input",
".",
"payload",
",",
"Instance",
")",
":",
"inst",
"=",
"self",
".",
"input",
".",
"payload",
"data",
"=",
"Instances",
".",
"template_instances",
"(",
"inst",
"... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L923-L966 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | DeleteFile.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(DeleteFile, self).fix_config(options)
opt = "regexp"
if opt not in options:
options[opt] = ".*"
if opt not in self.help:
self.help[opt] = "The regular expression that the files must match (string)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(DeleteFile, self).fix_config(options)
opt = "regexp"
if opt not in options:
options[opt] = ".*"
if opt not in self.help:
self.help[opt] = "The regular expression that the files must match (string)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"DeleteFile",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"regexp\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1004-L1021 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | DeleteFile.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
fname = str(self.input.payload)
spattern = str(self.resolve_option("regexp"))
pattern = None
if (spattern is not None) and (spattern != ".*"):
pattern = re.compile(spattern)
if (pattern is None) or (pattern.match(fname)):
os.remove(fname)
self._output.append(self.input)
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
fname = str(self.input.payload)
spattern = str(self.resolve_option("regexp"))
pattern = None
if (spattern is not None) and (spattern != ".*"):
pattern = re.compile(spattern)
if (pattern is None) or (pattern.match(fname)):
os.remove(fname)
self._output.append(self.input)
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"fname",
"=",
"str",
"(",
"self",
".",
"input",
".",
"payload",
")",
"spattern",
"=",
"str",
"(",
"self",
".",
"resolve_option",
"(",
"\"regexp\"",
")",
")",
"pattern",
"=",
"None",
"if",
"(",
"spattern",
"... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1023-L1038 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | CrossValidate.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(CrossValidate, self).fix_config(options)
opt = "setup"
if opt not in options:
options[opt] = Classifier(classname="weka.classifiers.rules.ZeroR")
if opt not in self.help:
self.help[opt] = "The classifier/clusterer to train (Classifier/Clusterer)."
opt = "folds"
if opt not in options:
options[opt] = 10
if opt not in self.help:
self.help[opt] = "The number of folds for CV (int)."
opt = "seed"
if opt not in options:
options[opt] = 1
if opt not in self.help:
self.help[opt] = "The seed value for randomizing the data (int)."
opt = "discard_predictions"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Discard classifier predictions to save memory (bool)."
opt = "output"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "For capturing the classifier's prediction output (PredictionOutput)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(CrossValidate, self).fix_config(options)
opt = "setup"
if opt not in options:
options[opt] = Classifier(classname="weka.classifiers.rules.ZeroR")
if opt not in self.help:
self.help[opt] = "The classifier/clusterer to train (Classifier/Clusterer)."
opt = "folds"
if opt not in options:
options[opt] = 10
if opt not in self.help:
self.help[opt] = "The number of folds for CV (int)."
opt = "seed"
if opt not in options:
options[opt] = 1
if opt not in self.help:
self.help[opt] = "The seed value for randomizing the data (int)."
opt = "discard_predictions"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Discard classifier predictions to save memory (bool)."
opt = "output"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "For capturing the classifier's prediction output (PredictionOutput)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"CrossValidate",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"setup\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1078-L1119 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | CrossValidate.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
cls = self.resolve_option("setup")
if isinstance(cls, Classifier):
cls = Classifier.make_copy(cls)
evl = Evaluation(data)
evl.discard_predictions = bool(self.resolve_option("discard_predictions"))
evl.crossvalidate_model(
cls,
data,
int(self.resolve_option("folds")),
Random(int(self.resolve_option("seed"))),
self.resolve_option("output"))
self._output.append(Token(evl))
elif isinstance(cls, Clusterer):
cls = Clusterer.make_copy(cls)
evl = ClusterEvaluation()
llh = evl.crossvalidate_model(
cls,
data,
int(self.resolve_option("folds")),
Random(int(self.resolve_option("seed"))))
self._output.append(Token(llh))
else:
return "Unhandled class: " + classes.get_classname(cls)
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
cls = self.resolve_option("setup")
if isinstance(cls, Classifier):
cls = Classifier.make_copy(cls)
evl = Evaluation(data)
evl.discard_predictions = bool(self.resolve_option("discard_predictions"))
evl.crossvalidate_model(
cls,
data,
int(self.resolve_option("folds")),
Random(int(self.resolve_option("seed"))),
self.resolve_option("output"))
self._output.append(Token(evl))
elif isinstance(cls, Clusterer):
cls = Clusterer.make_copy(cls)
evl = ClusterEvaluation()
llh = evl.crossvalidate_model(
cls,
data,
int(self.resolve_option("folds")),
Random(int(self.resolve_option("seed"))))
self._output.append(Token(llh))
else:
return "Unhandled class: " + classes.get_classname(cls)
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"data",
"=",
"self",
".",
"input",
".",
"payload",
"cls",
"=",
"self",
".",
"resolve_option",
"(",
"\"setup\"",
")",
"if",
"isinstance",
"(",
"cls",
",",
"Classifier",
")",
":",
"cls",
"=",
"Classifier",
".",... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1132-L1163 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Evaluate.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Evaluate, self).fix_config(options)
opt = "storage_name"
if opt not in options:
options[opt] = "unknown"
if opt not in self.help:
self.help[opt] = "The name of the classifier model in storage (string)."
opt = "discard_predictions"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Discard classifier predictions to save memory (bool)."
opt = "output"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "For capturing the classifier's prediction output (PredictionOutput)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Evaluate, self).fix_config(options)
opt = "storage_name"
if opt not in options:
options[opt] = "unknown"
if opt not in self.help:
self.help[opt] = "The name of the classifier model in storage (string)."
opt = "discard_predictions"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Discard classifier predictions to save memory (bool)."
opt = "output"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "For capturing the classifier's prediction output (PredictionOutput)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"Evaluate",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"storage_name\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"o... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1201-L1230 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Evaluate.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
if self.storagehandler is None:
return "No storage handler available!"
sname = str(self.resolve_option("storage_name"))
if sname not in self.storagehandler.storage:
return "No storage item called '" + sname + "' present!"
cls = self.storagehandler.storage[sname]
if isinstance(cls, Classifier):
evl = Evaluation(data)
evl.discard_predictions = bool(self.resolve_option("discard_predictions"))
evl.test_model(
cls,
data,
self.resolve_option("output"))
elif isinstance(cls, Clusterer):
evl = ClusterEvaluation()
evl.set_model(cls)
evl.test_model(data)
else:
return "Unhandled class: " + classes.get_classname(cls)
self._output.append(Token(evl))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
if self.storagehandler is None:
return "No storage handler available!"
sname = str(self.resolve_option("storage_name"))
if sname not in self.storagehandler.storage:
return "No storage item called '" + sname + "' present!"
cls = self.storagehandler.storage[sname]
if isinstance(cls, Classifier):
evl = Evaluation(data)
evl.discard_predictions = bool(self.resolve_option("discard_predictions"))
evl.test_model(
cls,
data,
self.resolve_option("output"))
elif isinstance(cls, Clusterer):
evl = ClusterEvaluation()
evl.set_model(cls)
evl.test_model(data)
else:
return "Unhandled class: " + classes.get_classname(cls)
self._output.append(Token(evl))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"data",
"=",
"self",
".",
"input",
".",
"payload",
"if",
"self",
".",
"storagehandler",
"is",
"None",
":",
"return",
"\"No storage handler available!\"",
"sname",
"=",
"str",
"(",
"self",
".",
"resolve_option",
"("... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1243-L1271 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | EvaluationSummary.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(EvaluationSummary, self).fix_config(options)
opt = "title"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "The title for the output (string)."
opt = "complexity"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to output classifier complexity information (bool)."
opt = "matrix"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to output the classifier confusion matrix (bool)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(EvaluationSummary, self).fix_config(options)
opt = "title"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "The title for the output (string)."
opt = "complexity"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to output classifier complexity information (bool)."
opt = "matrix"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to output the classifier confusion matrix (bool)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"EvaluationSummary",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"title\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1311-L1340 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | EvaluationSummary.check_input | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if isinstance(token.payload, Evaluation):
return None
if isinstance(token.payload, ClusterEvaluation):
return None
raise Exception(
self.full_name + ": Input token is not a supported Evaluation object - "
+ classes.get_classname(token.payload)) | python | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if isinstance(token.payload, Evaluation):
return None
if isinstance(token.payload, ClusterEvaluation):
return None
raise Exception(
self.full_name + ": Input token is not a supported Evaluation object - "
+ classes.get_classname(token.payload)) | [
"def",
"check_input",
"(",
"self",
",",
"token",
")",
":",
"if",
"isinstance",
"(",
"token",
".",
"payload",
",",
"Evaluation",
")",
":",
"return",
"None",
"if",
"isinstance",
"(",
"token",
".",
"payload",
",",
"ClusterEvaluation",
")",
":",
"return",
"N... | Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token | [
"Performs",
"checks",
"on",
"the",
"input",
"token",
".",
"Raises",
"an",
"exception",
"if",
"unsupported",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1342-L1355 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | EvaluationSummary.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
evl = self.input.payload
if isinstance(evl, Evaluation):
summary = evl.summary(title=self.resolve_option("title"), complexity=bool(self.resolve_option("complexity")))
if bool(self.resolve_option("matrix")):
summary += "\n" + evl.matrix(title=self.resolve_option("title"))
else:
summary = evl.cluster_results
self._output.append(Token(summary))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
evl = self.input.payload
if isinstance(evl, Evaluation):
summary = evl.summary(title=self.resolve_option("title"), complexity=bool(self.resolve_option("complexity")))
if bool(self.resolve_option("matrix")):
summary += "\n" + evl.matrix(title=self.resolve_option("title"))
else:
summary = evl.cluster_results
self._output.append(Token(summary))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"evl",
"=",
"self",
".",
"input",
".",
"payload",
"if",
"isinstance",
"(",
"evl",
",",
"Evaluation",
")",
":",
"summary",
"=",
"evl",
".",
"summary",
"(",
"title",
"=",
"self",
".",
"resolve_option",
"(",
"... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1357-L1372 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | ModelReader.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
fname = self.input.payload
data = serialization.read_all(fname)
if len(data) == 1:
if is_instance_of(data[0], "weka.classifiers.Classifier"):
cont = ModelContainer(model=Classifier(jobject=data[0]))
elif is_instance_of(data[0], "weka.clusterers.Clusterer"):
cont = ModelContainer(model=Clusterer(jobject=data[0]))
else:
return "Unhandled class: " + classes.get_classname(data[0])
elif len(data) == 2:
if is_instance_of(data[0], "weka.classifiers.Classifier"):
cont = ModelContainer(model=Classifier(jobject=data[0]), header=Instances(data[1]))
elif is_instance_of(data[0], "weka.clusterers.Clusterer"):
cont = ModelContainer(model=Clusterer(jobject=data[0]), header=Instances(data[1]))
else:
return "Unhandled class: " + classes.get_classname(data[0])
else:
return "Expected 1 or 2 objects, but got " + str(len(data)) + " instead reading: " + fname
self._output.append(Token(cont))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
fname = self.input.payload
data = serialization.read_all(fname)
if len(data) == 1:
if is_instance_of(data[0], "weka.classifiers.Classifier"):
cont = ModelContainer(model=Classifier(jobject=data[0]))
elif is_instance_of(data[0], "weka.clusterers.Clusterer"):
cont = ModelContainer(model=Clusterer(jobject=data[0]))
else:
return "Unhandled class: " + classes.get_classname(data[0])
elif len(data) == 2:
if is_instance_of(data[0], "weka.classifiers.Classifier"):
cont = ModelContainer(model=Classifier(jobject=data[0]), header=Instances(data[1]))
elif is_instance_of(data[0], "weka.clusterers.Clusterer"):
cont = ModelContainer(model=Clusterer(jobject=data[0]), header=Instances(data[1]))
else:
return "Unhandled class: " + classes.get_classname(data[0])
else:
return "Expected 1 or 2 objects, but got " + str(len(data)) + " instead reading: " + fname
self._output.append(Token(cont))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"fname",
"=",
"self",
".",
"input",
".",
"payload",
"data",
"=",
"serialization",
".",
"read_all",
"(",
"fname",
")",
"if",
"len",
"(",
"data",
")",
"==",
"1",
":",
"if",
"is_instance_of",
"(",
"data",
"[",... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1400-L1426 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Convert.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "setup"
if opt not in options:
options[opt] = conversion.PassThrough()
if opt not in self.help:
self.help[opt] = "The conversion to apply to the input data (Conversion)."
return super(Convert, self).fix_config(options) | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "setup"
if opt not in options:
options[opt] = conversion.PassThrough()
if opt not in self.help:
self.help[opt] = "The conversion to apply to the input data (Conversion)."
return super(Convert, self).fix_config(options) | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"opt",
"=",
"\"setup\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"]",
"=",
"conversion",
".",
"PassThrough",
"(",
")",
"if",
"opt",
"not",
"in",
"self",
".",
"help",... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1464-L1479 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Convert.check_input | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
self.config["setup"].check_input(token.payload) | python | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
self.config["setup"].check_input(token.payload) | [
"def",
"check_input",
"(",
"self",
",",
"token",
")",
":",
"if",
"token",
"is",
"None",
":",
"raise",
"Exception",
"(",
"self",
".",
"full_name",
"+",
"\": No token provided!\"",
")",
"self",
".",
"config",
"[",
"\"setup\"",
"]",
".",
"check_input",
"(",
... | Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token | [
"Performs",
"checks",
"on",
"the",
"input",
"token",
".",
"Raises",
"an",
"exception",
"if",
"unsupported",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1481-L1490 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Convert.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
conv = self.config["setup"].shallow_copy()
conv.input = self._input.payload
result = conv.convert()
if result is None:
if conv.output is not None:
self._output.append(Token(conv.output))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
conv = self.config["setup"].shallow_copy()
conv.input = self._input.payload
result = conv.convert()
if result is None:
if conv.output is not None:
self._output.append(Token(conv.output))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"conv",
"=",
"self",
".",
"config",
"[",
"\"setup\"",
"]",
".",
"shallow_copy",
"(",
")",
"conv",
".",
"input",
"=",
"self",
".",
"_input",
".",
"payload",
"result",
"=",
"conv",
".",
"convert",
"(",
")",
... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1492-L1505 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | AttributeSelection.quickinfo | def quickinfo(self):
"""
Returns a short string describing some of the options of the actor.
:return: the info, None if not available
:rtype: str
"""
return "search: " + base.to_commandline(self.config["search"]) + ", eval: " \
+ base.to_commandline(self.config["eval"]) | python | def quickinfo(self):
"""
Returns a short string describing some of the options of the actor.
:return: the info, None if not available
:rtype: str
"""
return "search: " + base.to_commandline(self.config["search"]) + ", eval: " \
+ base.to_commandline(self.config["eval"]) | [
"def",
"quickinfo",
"(",
"self",
")",
":",
"return",
"\"search: \"",
"+",
"base",
".",
"to_commandline",
"(",
"self",
".",
"config",
"[",
"\"search\"",
"]",
")",
"+",
"\", eval: \"",
"+",
"base",
".",
"to_commandline",
"(",
"self",
".",
"config",
"[",
"\... | Returns a short string describing some of the options of the actor.
:return: the info, None if not available
:rtype: str | [
"Returns",
"a",
"short",
"string",
"describing",
"some",
"of",
"the",
"options",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1537-L1545 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | AttributeSelection.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "search"
if opt not in options:
options[opt] = attsel.ASSearch(classname="weka.attributeSelection.BestFirst")
if opt not in self.help:
self.help[opt] = "The search algorithm to use (ASSearch)."
opt = "eval"
if opt not in options:
options[opt] = attsel.ASEvaluation(classname="weka.attributeSelection.CfsSubsetEval")
if opt not in self.help:
self.help[opt] = "The evaluation algorithm to use (ASEvaluation)."
return super(AttributeSelection, self).fix_config(options) | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "search"
if opt not in options:
options[opt] = attsel.ASSearch(classname="weka.attributeSelection.BestFirst")
if opt not in self.help:
self.help[opt] = "The search algorithm to use (ASSearch)."
opt = "eval"
if opt not in options:
options[opt] = attsel.ASEvaluation(classname="weka.attributeSelection.CfsSubsetEval")
if opt not in self.help:
self.help[opt] = "The evaluation algorithm to use (ASEvaluation)."
return super(AttributeSelection, self).fix_config(options) | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"opt",
"=",
"\"search\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"]",
"=",
"attsel",
".",
"ASSearch",
"(",
"classname",
"=",
"\"weka.attributeSelection.BestFirst\"",
")",
... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1547-L1568 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | AttributeSelection.check_input | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
if not isinstance(token.payload, Instances):
raise Exception(self.full_name + ": Not an Instances object!") | python | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if token is None:
raise Exception(self.full_name + ": No token provided!")
if not isinstance(token.payload, Instances):
raise Exception(self.full_name + ": Not an Instances object!") | [
"def",
"check_input",
"(",
"self",
",",
"token",
")",
":",
"if",
"token",
"is",
"None",
":",
"raise",
"Exception",
"(",
"self",
".",
"full_name",
"+",
"\": No token provided!\"",
")",
"if",
"not",
"isinstance",
"(",
"token",
".",
"payload",
",",
"Instances... | Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token | [
"Performs",
"checks",
"on",
"the",
"input",
"token",
".",
"Raises",
"an",
"exception",
"if",
"unsupported",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1570-L1580 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | AttributeSelection.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
search = self.config["search"].shallow_copy()
evl = self.config["eval"].shallow_copy()
asel = attsel.AttributeSelection()
asel.search(search)
asel.evaluator(evl)
asel.select_attributes(data)
cont = AttributeSelectionContainer(
original=data,
reduced=asel.reduce_dimensionality(data),
num_atts=asel.number_attributes_selected,
selected=asel.selected_attributes,
results=asel.results_string)
self._output.append(Token(cont))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
data = self.input.payload
search = self.config["search"].shallow_copy()
evl = self.config["eval"].shallow_copy()
asel = attsel.AttributeSelection()
asel.search(search)
asel.evaluator(evl)
asel.select_attributes(data)
cont = AttributeSelectionContainer(
original=data,
reduced=asel.reduce_dimensionality(data),
num_atts=asel.number_attributes_selected,
selected=asel.selected_attributes,
results=asel.results_string)
self._output.append(Token(cont))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"data",
"=",
"self",
".",
"input",
".",
"payload",
"search",
"=",
"self",
".",
"config",
"[",
"\"search\"",
"]",
".",
"shallow_copy",
"(",
")",
"evl",
"=",
"self",
".",
"config",
"[",
"\"eval\"",
"]",
".",
... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1582-L1603 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | RenameRelation.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(RenameRelation, self).fix_config(options)
opt = "name"
if opt not in options:
options[opt] = "newname"
if opt not in self.help:
self.help[opt] = "The new relation name to use (string)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(RenameRelation, self).fix_config(options)
opt = "name"
if opt not in options:
options[opt] = "newname"
if opt not in self.help:
self.help[opt] = "The new relation name to use (string)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"RenameRelation",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"name\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1641-L1658 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | RenameRelation.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
relname = self.resolve_option("name")
if isinstance(self.input.payload, Instance):
self.input.payload.dataset.relationname = relname
else:
self.input.payload.relationname = relname
self._output.append(self.input)
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
relname = self.resolve_option("name")
if isinstance(self.input.payload, Instance):
self.input.payload.dataset.relationname = relname
else:
self.input.payload.relationname = relname
self._output.append(self.input)
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"relname",
"=",
"self",
".",
"resolve_option",
"(",
"\"name\"",
")",
"if",
"isinstance",
"(",
"self",
".",
"input",
".",
"payload",
",",
"Instance",
")",
":",
"self",
".",
"input",
".",
"payload",
".",
"datas... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1673-L1686 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Copy.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, classes.JavaObject) and self.input.payload.is_serializable:
copy = serialization.deepcopy(self.input.payload)
if copy is not None:
self._output.append(Token(copy))
else:
self._output.append(self.input)
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
if isinstance(self.input.payload, classes.JavaObject) and self.input.payload.is_serializable:
copy = serialization.deepcopy(self.input.payload)
if copy is not None:
self._output.append(Token(copy))
else:
self._output.append(self.input)
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"input",
".",
"payload",
",",
"classes",
".",
"JavaObject",
")",
"and",
"self",
".",
"input",
".",
"payload",
".",
"is_serializable",
":",
"copy",
"=",
"serialization",
"."... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1716-L1729 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Predict.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Predict, self).fix_config(options)
opt = "model"
if opt not in options:
options[opt] = "."
if opt not in self.help:
self.help[opt] = "The serialized model to use for making predictions (string)."
opt = "storage_name"
if opt not in options:
options[opt] = "unknown"
if opt not in self.help:
self.help[opt] = "The name of the model (or ModelContainer) in storage to use (string)."
return options | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
options = super(Predict, self).fix_config(options)
opt = "model"
if opt not in options:
options[opt] = "."
if opt not in self.help:
self.help[opt] = "The serialized model to use for making predictions (string)."
opt = "storage_name"
if opt not in options:
options[opt] = "unknown"
if opt not in self.help:
self.help[opt] = "The name of the model (or ModelContainer) in storage to use (string)."
return options | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"options",
"=",
"super",
"(",
"Predict",
",",
"self",
")",
".",
"fix_config",
"(",
"options",
")",
"opt",
"=",
"\"model\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1774-L1797 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Predict.check_input | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if isinstance(token.payload, Instance):
return
raise Exception(self.full_name + ": Unhandled data type: " + str(token.payload.__class__.__name__)) | python | def check_input(self, token):
"""
Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token
"""
if isinstance(token.payload, Instance):
return
raise Exception(self.full_name + ": Unhandled data type: " + str(token.payload.__class__.__name__)) | [
"def",
"check_input",
"(",
"self",
",",
"token",
")",
":",
"if",
"isinstance",
"(",
"token",
".",
"payload",
",",
"Instance",
")",
":",
"return",
"raise",
"Exception",
"(",
"self",
".",
"full_name",
"+",
"\": Unhandled data type: \"",
"+",
"str",
"(",
"tok... | Performs checks on the input token. Raises an exception if unsupported.
:param token: the token to check
:type token: Token | [
"Performs",
"checks",
"on",
"the",
"input",
"token",
".",
"Raises",
"an",
"exception",
"if",
"unsupported",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1799-L1808 |
fracpete/python-weka-wrapper3 | python/weka/flow/transformer.py | Predict.do_execute | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
inst = self.input.payload
if not inst.has_class:
return "No class set!"
# load model?
if self._model is None:
model = None
fname = str(self.resolve_option("model"))
if os.path.isfile(fname):
model = serialization.read(fname)
else:
name = self.resolve_option("storage_name")
if name in self.storagehandler.storage:
model = self.storagehandler.storage.get(name)
if isinstance(model, ModelContainer):
model = model.get("Model").jobject
if model is None:
return "No model available from storage or serialized file!"
self._is_classifier = is_instance_of(model, "weka.classifiers.Classifier")
if self._is_classifier:
self._model = Classifier(jobject=model)
else:
self._model = Clusterer(jobject=model)
if self._is_classifier:
cls = self._model.classify_instance(inst)
dist = self._model.distribution_for_instance(inst)
label = inst.class_attribute.value(int(cls))
cont = ClassificationContainer(inst=inst, classification=cls, distribution=dist, label=label)
else:
cls = self._model.cluster_instance(inst)
dist = self._model.distribution_for_instance(inst)
cont = ClusteringContainer(inst=inst, cluster=int(cls), distribution=dist)
self._output.append(Token(cont))
return None | python | def do_execute(self):
"""
The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str
"""
inst = self.input.payload
if not inst.has_class:
return "No class set!"
# load model?
if self._model is None:
model = None
fname = str(self.resolve_option("model"))
if os.path.isfile(fname):
model = serialization.read(fname)
else:
name = self.resolve_option("storage_name")
if name in self.storagehandler.storage:
model = self.storagehandler.storage.get(name)
if isinstance(model, ModelContainer):
model = model.get("Model").jobject
if model is None:
return "No model available from storage or serialized file!"
self._is_classifier = is_instance_of(model, "weka.classifiers.Classifier")
if self._is_classifier:
self._model = Classifier(jobject=model)
else:
self._model = Clusterer(jobject=model)
if self._is_classifier:
cls = self._model.classify_instance(inst)
dist = self._model.distribution_for_instance(inst)
label = inst.class_attribute.value(int(cls))
cont = ClassificationContainer(inst=inst, classification=cls, distribution=dist, label=label)
else:
cls = self._model.cluster_instance(inst)
dist = self._model.distribution_for_instance(inst)
cont = ClusteringContainer(inst=inst, cluster=int(cls), distribution=dist)
self._output.append(Token(cont))
return None | [
"def",
"do_execute",
"(",
"self",
")",
":",
"inst",
"=",
"self",
".",
"input",
".",
"payload",
"if",
"not",
"inst",
".",
"has_class",
":",
"return",
"\"No class set!\"",
"# load model?",
"if",
"self",
".",
"_model",
"is",
"None",
":",
"model",
"=",
"None... | The actual execution of the actor.
:return: None if successful, otherwise error message
:rtype: str | [
"The",
"actual",
"execution",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/transformer.py#L1810-L1852 |
fracpete/python-weka-wrapper3 | python/weka/plot/graph.py | plot_dot_graph | def plot_dot_graph(graph, filename=None):
"""
Plots a graph in graphviz dot notation.
:param graph: the dot notation graph
:type graph: str
:param filename: the (optional) file to save the generated plot to. The extension determines the file format.
:type filename: str
"""
if not plot.pygraphviz_available:
logger.error("Pygraphviz is not installed, cannot generate graph plot!")
return
if not plot.PIL_available:
logger.error("PIL is not installed, cannot display graph plot!")
return
agraph = AGraph(graph)
agraph.layout(prog='dot')
if filename is None:
filename = tempfile.mktemp(suffix=".png")
agraph.draw(filename)
image = Image.open(filename)
image.show() | python | def plot_dot_graph(graph, filename=None):
"""
Plots a graph in graphviz dot notation.
:param graph: the dot notation graph
:type graph: str
:param filename: the (optional) file to save the generated plot to. The extension determines the file format.
:type filename: str
"""
if not plot.pygraphviz_available:
logger.error("Pygraphviz is not installed, cannot generate graph plot!")
return
if not plot.PIL_available:
logger.error("PIL is not installed, cannot display graph plot!")
return
agraph = AGraph(graph)
agraph.layout(prog='dot')
if filename is None:
filename = tempfile.mktemp(suffix=".png")
agraph.draw(filename)
image = Image.open(filename)
image.show() | [
"def",
"plot_dot_graph",
"(",
"graph",
",",
"filename",
"=",
"None",
")",
":",
"if",
"not",
"plot",
".",
"pygraphviz_available",
":",
"logger",
".",
"error",
"(",
"\"Pygraphviz is not installed, cannot generate graph plot!\"",
")",
"return",
"if",
"not",
"plot",
"... | Plots a graph in graphviz dot notation.
:param graph: the dot notation graph
:type graph: str
:param filename: the (optional) file to save the generated plot to. The extension determines the file format.
:type filename: str | [
"Plots",
"a",
"graph",
"in",
"graphviz",
"dot",
"notation",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/plot/graph.py#L29-L51 |
fracpete/python-weka-wrapper3 | python/weka/core/stemmers.py | Stemmer.stem | def stem(self, s):
"""
Performs stemming on the string.
:param s: the string to stem
:type s: str
:return: the stemmed string
:rtype: str
"""
return javabridge.get_env().get_string(self.__stem(javabridge.get_env().new_string_utf(s))) | python | def stem(self, s):
"""
Performs stemming on the string.
:param s: the string to stem
:type s: str
:return: the stemmed string
:rtype: str
"""
return javabridge.get_env().get_string(self.__stem(javabridge.get_env().new_string_utf(s))) | [
"def",
"stem",
"(",
"self",
",",
"s",
")",
":",
"return",
"javabridge",
".",
"get_env",
"(",
")",
".",
"get_string",
"(",
"self",
".",
"__stem",
"(",
"javabridge",
".",
"get_env",
"(",
")",
".",
"new_string_utf",
"(",
"s",
")",
")",
")"
] | Performs stemming on the string.
:param s: the string to stem
:type s: str
:return: the stemmed string
:rtype: str | [
"Performs",
"stemming",
"on",
"the",
"string",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/stemmers.py#L43-L52 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | create_instances_from_matrices | def create_instances_from_matrices(x, y=None, name="data"):
"""
Allows the generation of an Instances object from a 2-dimensional matrix for X and a
1-dimensional matrix for Y (optional).
All data must be numerical. Attributes can be converted to nominal with the
weka.filters.unsupervised.attribute.NumericToNominal filter.
:param x: the input variables
:type x: ndarray
:param y: the output variable (optional)
:type y: ndarray
:param name: the name of the dataset
:type name: str
:return: the generated dataset
:rtype: Instances
"""
if y is not None:
if len(x) != len(y):
raise Exception("Dimensions of x and y differ: " + str(len(x)) + " != " + str(len(y)))
# create header
atts = []
for i in range(len(x[0])):
atts.append(Attribute.create_numeric("x" + str(i+1)))
if y is not None:
atts.append(Attribute.create_numeric("y"))
result = Instances.create_instances(name, atts, len(x))
# add data
for i in range(len(x)):
values = list(x[i])
if y is not None:
values.append(y[i])
result.add_instance(Instance.create_instance(values))
return result | python | def create_instances_from_matrices(x, y=None, name="data"):
"""
Allows the generation of an Instances object from a 2-dimensional matrix for X and a
1-dimensional matrix for Y (optional).
All data must be numerical. Attributes can be converted to nominal with the
weka.filters.unsupervised.attribute.NumericToNominal filter.
:param x: the input variables
:type x: ndarray
:param y: the output variable (optional)
:type y: ndarray
:param name: the name of the dataset
:type name: str
:return: the generated dataset
:rtype: Instances
"""
if y is not None:
if len(x) != len(y):
raise Exception("Dimensions of x and y differ: " + str(len(x)) + " != " + str(len(y)))
# create header
atts = []
for i in range(len(x[0])):
atts.append(Attribute.create_numeric("x" + str(i+1)))
if y is not None:
atts.append(Attribute.create_numeric("y"))
result = Instances.create_instances(name, atts, len(x))
# add data
for i in range(len(x)):
values = list(x[i])
if y is not None:
values.append(y[i])
result.add_instance(Instance.create_instance(values))
return result | [
"def",
"create_instances_from_matrices",
"(",
"x",
",",
"y",
"=",
"None",
",",
"name",
"=",
"\"data\"",
")",
":",
"if",
"y",
"is",
"not",
"None",
":",
"if",
"len",
"(",
"x",
")",
"!=",
"len",
"(",
"y",
")",
":",
"raise",
"Exception",
"(",
"\"Dimens... | Allows the generation of an Instances object from a 2-dimensional matrix for X and a
1-dimensional matrix for Y (optional).
All data must be numerical. Attributes can be converted to nominal with the
weka.filters.unsupervised.attribute.NumericToNominal filter.
:param x: the input variables
:type x: ndarray
:param y: the output variable (optional)
:type y: ndarray
:param name: the name of the dataset
:type name: str
:return: the generated dataset
:rtype: Instances | [
"Allows",
"the",
"generation",
"of",
"an",
"Instances",
"object",
"from",
"a",
"2",
"-",
"dimensional",
"matrix",
"for",
"X",
"and",
"a",
"1",
"-",
"dimensional",
"matrix",
"for",
"Y",
"(",
"optional",
")",
".",
"All",
"data",
"must",
"be",
"numerical",
... | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L1528-L1560 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.attribute_by_name | def attribute_by_name(self, name):
"""
Returns the specified attribute, None if not found.
:param name: the name of the attribute
:type name: str
:return: the attribute or None
:rtype: Attribute
"""
att = self.__attribute_by_name(javabridge.get_env().new_string(name))
if att is None:
return None
else:
return Attribute(att) | python | def attribute_by_name(self, name):
"""
Returns the specified attribute, None if not found.
:param name: the name of the attribute
:type name: str
:return: the attribute or None
:rtype: Attribute
"""
att = self.__attribute_by_name(javabridge.get_env().new_string(name))
if att is None:
return None
else:
return Attribute(att) | [
"def",
"attribute_by_name",
"(",
"self",
",",
"name",
")",
":",
"att",
"=",
"self",
".",
"__attribute_by_name",
"(",
"javabridge",
".",
"get_env",
"(",
")",
".",
"new_string",
"(",
"name",
")",
")",
"if",
"att",
"is",
"None",
":",
"return",
"None",
"el... | Returns the specified attribute, None if not found.
:param name: the name of the attribute
:type name: str
:return: the attribute or None
:rtype: Attribute | [
"Returns",
"the",
"specified",
"attribute",
"None",
"if",
"not",
"found",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L118-L131 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.add_instance | def add_instance(self, inst, index=None):
"""
Adds the specified instance to the dataset.
:param inst: the Instance to add
:type inst: Instance
:param index: the 0-based index where to add the Instance
:type index: int
"""
if index is None:
self.__append_instance(inst.jobject)
else:
self.__insert_instance(index, inst.jobject) | python | def add_instance(self, inst, index=None):
"""
Adds the specified instance to the dataset.
:param inst: the Instance to add
:type inst: Instance
:param index: the 0-based index where to add the Instance
:type index: int
"""
if index is None:
self.__append_instance(inst.jobject)
else:
self.__insert_instance(index, inst.jobject) | [
"def",
"add_instance",
"(",
"self",
",",
"inst",
",",
"index",
"=",
"None",
")",
":",
"if",
"index",
"is",
"None",
":",
"self",
".",
"__append_instance",
"(",
"inst",
".",
"jobject",
")",
"else",
":",
"self",
".",
"__insert_instance",
"(",
"index",
","... | Adds the specified instance to the dataset.
:param inst: the Instance to add
:type inst: Instance
:param index: the 0-based index where to add the Instance
:type index: int | [
"Adds",
"the",
"specified",
"instance",
"to",
"the",
"dataset",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L235-L247 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.set_instance | def set_instance(self, index, inst):
"""
Sets the Instance at the specified location in the dataset.
:param index: the 0-based index of the instance to replace
:type index: int
:param inst: the Instance to set
:type inst: Instance
:return: the instance
:rtype: Instance
"""
return Instance(
self.__set_instance(index, inst.jobject)) | python | def set_instance(self, index, inst):
"""
Sets the Instance at the specified location in the dataset.
:param index: the 0-based index of the instance to replace
:type index: int
:param inst: the Instance to set
:type inst: Instance
:return: the instance
:rtype: Instance
"""
return Instance(
self.__set_instance(index, inst.jobject)) | [
"def",
"set_instance",
"(",
"self",
",",
"index",
",",
"inst",
")",
":",
"return",
"Instance",
"(",
"self",
".",
"__set_instance",
"(",
"index",
",",
"inst",
".",
"jobject",
")",
")"
] | Sets the Instance at the specified location in the dataset.
:param index: the 0-based index of the instance to replace
:type index: int
:param inst: the Instance to set
:type inst: Instance
:return: the instance
:rtype: Instance | [
"Sets",
"the",
"Instance",
"at",
"the",
"specified",
"location",
"in",
"the",
"dataset",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L249-L261 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.delete | def delete(self, index=None):
"""
Removes either the specified Instance or all Instance objects.
:param index: the 0-based index of the instance to remove
:type index: int
"""
if index is None:
javabridge.call(self.jobject, "delete", "()V")
else:
javabridge.call(self.jobject, "delete", "(I)V", index) | python | def delete(self, index=None):
"""
Removes either the specified Instance or all Instance objects.
:param index: the 0-based index of the instance to remove
:type index: int
"""
if index is None:
javabridge.call(self.jobject, "delete", "()V")
else:
javabridge.call(self.jobject, "delete", "(I)V", index) | [
"def",
"delete",
"(",
"self",
",",
"index",
"=",
"None",
")",
":",
"if",
"index",
"is",
"None",
":",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"delete\"",
",",
"\"()V\"",
")",
"else",
":",
"javabridge",
".",
"call",
"(",
"self",
... | Removes either the specified Instance or all Instance objects.
:param index: the 0-based index of the instance to remove
:type index: int | [
"Removes",
"either",
"the",
"specified",
"Instance",
"or",
"all",
"Instance",
"objects",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L263-L273 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.insert_attribute | def insert_attribute(self, att, index):
"""
Inserts the attribute at the specified location.
:param att: the attribute to insert
:type att: Attribute
:param index: the index to insert the attribute at
:type index: int
"""
javabridge.call(self.jobject, "insertAttributeAt", "(Lweka/core/Attribute;I)V", att.jobject, index) | python | def insert_attribute(self, att, index):
"""
Inserts the attribute at the specified location.
:param att: the attribute to insert
:type att: Attribute
:param index: the index to insert the attribute at
:type index: int
"""
javabridge.call(self.jobject, "insertAttributeAt", "(Lweka/core/Attribute;I)V", att.jobject, index) | [
"def",
"insert_attribute",
"(",
"self",
",",
"att",
",",
"index",
")",
":",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"insertAttributeAt\"",
",",
"\"(Lweka/core/Attribute;I)V\"",
",",
"att",
".",
"jobject",
",",
"index",
")"
] | Inserts the attribute at the specified location.
:param att: the attribute to insert
:type att: Attribute
:param index: the index to insert the attribute at
:type index: int | [
"Inserts",
"the",
"attribute",
"at",
"the",
"specified",
"location",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L314-L323 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.train_cv | def train_cv(self, num_folds, fold, random=None):
"""
Generates a training fold for cross-validation.
:param num_folds: the number of folds of cross-validation, eg 10
:type num_folds: int
:param fold: the current fold (0-based)
:type fold: int
:param random: the random number generator
:type random: Random
:return: the training fold
:rtype: Instances
"""
if random is None:
return Instances(
javabridge.call(self.jobject, "trainCV", "(II)Lweka/core/Instances;",
num_folds, fold))
else:
return Instances(
javabridge.call(self.jobject, "trainCV", "(IILjava/util/Random;)Lweka/core/Instances;",
num_folds, fold, random.jobject)) | python | def train_cv(self, num_folds, fold, random=None):
"""
Generates a training fold for cross-validation.
:param num_folds: the number of folds of cross-validation, eg 10
:type num_folds: int
:param fold: the current fold (0-based)
:type fold: int
:param random: the random number generator
:type random: Random
:return: the training fold
:rtype: Instances
"""
if random is None:
return Instances(
javabridge.call(self.jobject, "trainCV", "(II)Lweka/core/Instances;",
num_folds, fold))
else:
return Instances(
javabridge.call(self.jobject, "trainCV", "(IILjava/util/Random;)Lweka/core/Instances;",
num_folds, fold, random.jobject)) | [
"def",
"train_cv",
"(",
"self",
",",
"num_folds",
",",
"fold",
",",
"random",
"=",
"None",
")",
":",
"if",
"random",
"is",
"None",
":",
"return",
"Instances",
"(",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"trainCV\"",
",",
"\"(II)... | Generates a training fold for cross-validation.
:param num_folds: the number of folds of cross-validation, eg 10
:type num_folds: int
:param fold: the current fold (0-based)
:type fold: int
:param random: the random number generator
:type random: Random
:return: the training fold
:rtype: Instances | [
"Generates",
"a",
"training",
"fold",
"for",
"cross",
"-",
"validation",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L358-L378 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.copy_instances | def copy_instances(cls, dataset, from_row=None, num_rows=None):
"""
Creates a copy of the Instances. If either from_row or num_rows are None, then all of
the data is being copied.
:param dataset: the original dataset
:type dataset: Instances
:param from_row: the 0-based start index of the rows to copy
:type from_row: int
:param num_rows: the number of rows to copy
:type num_rows: int
:return: the copy of the data
:rtype: Instances
"""
if from_row is None or num_rows is None:
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;)V",
dataset.jobject))
else:
dataset = cls.copy_instances(dataset)
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;II)V",
dataset.jobject, from_row, num_rows)) | python | def copy_instances(cls, dataset, from_row=None, num_rows=None):
"""
Creates a copy of the Instances. If either from_row or num_rows are None, then all of
the data is being copied.
:param dataset: the original dataset
:type dataset: Instances
:param from_row: the 0-based start index of the rows to copy
:type from_row: int
:param num_rows: the number of rows to copy
:type num_rows: int
:return: the copy of the data
:rtype: Instances
"""
if from_row is None or num_rows is None:
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;)V",
dataset.jobject))
else:
dataset = cls.copy_instances(dataset)
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;II)V",
dataset.jobject, from_row, num_rows)) | [
"def",
"copy_instances",
"(",
"cls",
",",
"dataset",
",",
"from_row",
"=",
"None",
",",
"num_rows",
"=",
"None",
")",
":",
"if",
"from_row",
"is",
"None",
"or",
"num_rows",
"is",
"None",
":",
"return",
"Instances",
"(",
"javabridge",
".",
"make_instance",
... | Creates a copy of the Instances. If either from_row or num_rows are None, then all of
the data is being copied.
:param dataset: the original dataset
:type dataset: Instances
:param from_row: the 0-based start index of the rows to copy
:type from_row: int
:param num_rows: the number of rows to copy
:type num_rows: int
:return: the copy of the data
:rtype: Instances | [
"Creates",
"a",
"copy",
"of",
"the",
"Instances",
".",
"If",
"either",
"from_row",
"or",
"num_rows",
"are",
"None",
"then",
"all",
"of",
"the",
"data",
"is",
"being",
"copied",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L408-L432 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.template_instances | def template_instances(cls, dataset, capacity=0):
"""
Uses the Instances as template to create an empty dataset.
:param dataset: the original dataset
:type dataset: Instances
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the empty dataset
:rtype: Instances
"""
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;I)V", dataset.jobject, capacity)) | python | def template_instances(cls, dataset, capacity=0):
"""
Uses the Instances as template to create an empty dataset.
:param dataset: the original dataset
:type dataset: Instances
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the empty dataset
:rtype: Instances
"""
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Lweka/core/Instances;I)V", dataset.jobject, capacity)) | [
"def",
"template_instances",
"(",
"cls",
",",
"dataset",
",",
"capacity",
"=",
"0",
")",
":",
"return",
"Instances",
"(",
"javabridge",
".",
"make_instance",
"(",
"\"weka/core/Instances\"",
",",
"\"(Lweka/core/Instances;I)V\"",
",",
"dataset",
".",
"jobject",
",",... | Uses the Instances as template to create an empty dataset.
:param dataset: the original dataset
:type dataset: Instances
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the empty dataset
:rtype: Instances | [
"Uses",
"the",
"Instances",
"as",
"template",
"to",
"create",
"an",
"empty",
"dataset",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L435-L448 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.create_instances | def create_instances(cls, name, atts, capacity):
"""
Creates a new Instances.
:param name: the relation name
:type name: str
:param atts: the list of attributes to use for the dataset
:type atts: list of Attribute
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the dataset
:rtype: Instances
"""
attributes = []
for att in atts:
attributes.append(att.jobject)
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Ljava/lang/String;Ljava/util/ArrayList;I)V",
name, javabridge.make_list(attributes), capacity)) | python | def create_instances(cls, name, atts, capacity):
"""
Creates a new Instances.
:param name: the relation name
:type name: str
:param atts: the list of attributes to use for the dataset
:type atts: list of Attribute
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the dataset
:rtype: Instances
"""
attributes = []
for att in atts:
attributes.append(att.jobject)
return Instances(
javabridge.make_instance(
"weka/core/Instances", "(Ljava/lang/String;Ljava/util/ArrayList;I)V",
name, javabridge.make_list(attributes), capacity)) | [
"def",
"create_instances",
"(",
"cls",
",",
"name",
",",
"atts",
",",
"capacity",
")",
":",
"attributes",
"=",
"[",
"]",
"for",
"att",
"in",
"atts",
":",
"attributes",
".",
"append",
"(",
"att",
".",
"jobject",
")",
"return",
"Instances",
"(",
"javabri... | Creates a new Instances.
:param name: the relation name
:type name: str
:param atts: the list of attributes to use for the dataset
:type atts: list of Attribute
:param capacity: how many data rows to reserve initially (see compactify)
:type capacity: int
:return: the dataset
:rtype: Instances | [
"Creates",
"a",
"new",
"Instances",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L451-L470 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instances.merge_instances | def merge_instances(cls, inst1, inst2):
"""
Merges the two datasets (side-by-side).
:param inst1: the first dataset
:type inst1: Instances or str
:param inst2: the first dataset
:type inst2: Instances
:return: the combined dataset
:rtype: Instances
"""
return Instances(javabridge.static_call(
"weka/core/Instances", "mergeInstances",
"(Lweka/core/Instances;Lweka/core/Instances;)Lweka/core/Instances;", inst1.jobject, inst2.jobject)) | python | def merge_instances(cls, inst1, inst2):
"""
Merges the two datasets (side-by-side).
:param inst1: the first dataset
:type inst1: Instances or str
:param inst2: the first dataset
:type inst2: Instances
:return: the combined dataset
:rtype: Instances
"""
return Instances(javabridge.static_call(
"weka/core/Instances", "mergeInstances",
"(Lweka/core/Instances;Lweka/core/Instances;)Lweka/core/Instances;", inst1.jobject, inst2.jobject)) | [
"def",
"merge_instances",
"(",
"cls",
",",
"inst1",
",",
"inst2",
")",
":",
"return",
"Instances",
"(",
"javabridge",
".",
"static_call",
"(",
"\"weka/core/Instances\"",
",",
"\"mergeInstances\"",
",",
"\"(Lweka/core/Instances;Lweka/core/Instances;)Lweka/core/Instances;\"",... | Merges the two datasets (side-by-side).
:param inst1: the first dataset
:type inst1: Instances or str
:param inst2: the first dataset
:type inst2: Instances
:return: the combined dataset
:rtype: Instances | [
"Merges",
"the",
"two",
"datasets",
"(",
"side",
"-",
"by",
"-",
"side",
")",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L473-L486 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instance.dataset | def dataset(self):
"""
Returns the dataset that this instance belongs to.
:return: the dataset or None if no dataset set
:rtype: Instances
"""
dataset = javabridge.call(self.jobject, "dataset", "()Lweka/core/Instances;")
if dataset is None:
return None
else:
return Instances(dataset) | python | def dataset(self):
"""
Returns the dataset that this instance belongs to.
:return: the dataset or None if no dataset set
:rtype: Instances
"""
dataset = javabridge.call(self.jobject, "dataset", "()Lweka/core/Instances;")
if dataset is None:
return None
else:
return Instances(dataset) | [
"def",
"dataset",
"(",
"self",
")",
":",
"dataset",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"dataset\"",
",",
"\"()Lweka/core/Instances;\"",
")",
"if",
"dataset",
"is",
"None",
":",
"return",
"None",
"else",
":",
"return",
"Inst... | Returns the dataset that this instance belongs to.
:return: the dataset or None if no dataset set
:rtype: Instances | [
"Returns",
"the",
"dataset",
"that",
"this",
"instance",
"belongs",
"to",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L577-L588 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instance.set_string_value | def set_string_value(self, index, s):
"""
Sets the string value at the specified position (0-based).
:param index: the 0-based index of the inernal value
:type index: int
:param s: the string value
:type s: str
"""
return self.__set_string_value(index, javabridge.get_env().new_string(s)) | python | def set_string_value(self, index, s):
"""
Sets the string value at the specified position (0-based).
:param index: the 0-based index of the inernal value
:type index: int
:param s: the string value
:type s: str
"""
return self.__set_string_value(index, javabridge.get_env().new_string(s)) | [
"def",
"set_string_value",
"(",
"self",
",",
"index",
",",
"s",
")",
":",
"return",
"self",
".",
"__set_string_value",
"(",
"index",
",",
"javabridge",
".",
"get_env",
"(",
")",
".",
"new_string",
"(",
"s",
")",
")"
] | Sets the string value at the specified position (0-based).
:param index: the 0-based index of the inernal value
:type index: int
:param s: the string value
:type s: str | [
"Sets",
"the",
"string",
"value",
"at",
"the",
"specified",
"position",
"(",
"0",
"-",
"based",
")",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L671-L680 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instance.create_instance | def create_instance(cls, values, classname="weka.core.DenseInstance", weight=1.0):
"""
Creates a new instance.
:param values: the float values (internal format) to use, numpy array or list.
:type values: ndarray or list
:param classname: the classname of the instance (eg weka.core.DenseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float
"""
jni_classname = classname.replace(".", "/")
if type(values) is list:
for i in range(len(values)):
values[i] = float(values[i])
values = numpy.array(values)
return Instance(
javabridge.make_instance(
jni_classname, "(D[D)V",
weight, javabridge.get_env().make_double_array(values))) | python | def create_instance(cls, values, classname="weka.core.DenseInstance", weight=1.0):
"""
Creates a new instance.
:param values: the float values (internal format) to use, numpy array or list.
:type values: ndarray or list
:param classname: the classname of the instance (eg weka.core.DenseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float
"""
jni_classname = classname.replace(".", "/")
if type(values) is list:
for i in range(len(values)):
values[i] = float(values[i])
values = numpy.array(values)
return Instance(
javabridge.make_instance(
jni_classname, "(D[D)V",
weight, javabridge.get_env().make_double_array(values))) | [
"def",
"create_instance",
"(",
"cls",
",",
"values",
",",
"classname",
"=",
"\"weka.core.DenseInstance\"",
",",
"weight",
"=",
"1.0",
")",
":",
"jni_classname",
"=",
"classname",
".",
"replace",
"(",
"\".\"",
",",
"\"/\"",
")",
"if",
"type",
"(",
"values",
... | Creates a new instance.
:param values: the float values (internal format) to use, numpy array or list.
:type values: ndarray or list
:param classname: the classname of the instance (eg weka.core.DenseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float | [
"Creates",
"a",
"new",
"instance",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L764-L783 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Instance.create_sparse_instance | def create_sparse_instance(cls, values, max_values, classname="weka.core.SparseInstance", weight=1.0):
"""
Creates a new sparse instance.
:param values: the list of tuples (0-based index and internal format float). The indices of the
tuples must be in ascending order and "max_values" must be set to the maximum
number of attributes in the dataset.
:type values: list
:param max_values: the maximum number of attributes
:type max_values: int
:param classname: the classname of the instance (eg weka.core.SparseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float
"""
jni_classname = classname.replace(".", "/")
indices = []
vals = []
for (i, v) in values:
indices.append(i)
vals.append(float(v))
indices = numpy.array(indices, dtype=numpy.int32)
vals = numpy.array(vals)
return Instance(
javabridge.make_instance(
jni_classname, "(D[D[II)V",
weight, javabridge.get_env().make_double_array(vals),
javabridge.get_env().make_int_array(indices), max_values)) | python | def create_sparse_instance(cls, values, max_values, classname="weka.core.SparseInstance", weight=1.0):
"""
Creates a new sparse instance.
:param values: the list of tuples (0-based index and internal format float). The indices of the
tuples must be in ascending order and "max_values" must be set to the maximum
number of attributes in the dataset.
:type values: list
:param max_values: the maximum number of attributes
:type max_values: int
:param classname: the classname of the instance (eg weka.core.SparseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float
"""
jni_classname = classname.replace(".", "/")
indices = []
vals = []
for (i, v) in values:
indices.append(i)
vals.append(float(v))
indices = numpy.array(indices, dtype=numpy.int32)
vals = numpy.array(vals)
return Instance(
javabridge.make_instance(
jni_classname, "(D[D[II)V",
weight, javabridge.get_env().make_double_array(vals),
javabridge.get_env().make_int_array(indices), max_values)) | [
"def",
"create_sparse_instance",
"(",
"cls",
",",
"values",
",",
"max_values",
",",
"classname",
"=",
"\"weka.core.SparseInstance\"",
",",
"weight",
"=",
"1.0",
")",
":",
"jni_classname",
"=",
"classname",
".",
"replace",
"(",
"\".\"",
",",
"\"/\"",
")",
"indi... | Creates a new sparse instance.
:param values: the list of tuples (0-based index and internal format float). The indices of the
tuples must be in ascending order and "max_values" must be set to the maximum
number of attributes in the dataset.
:type values: list
:param max_values: the maximum number of attributes
:type max_values: int
:param classname: the classname of the instance (eg weka.core.SparseInstance).
:type classname: str
:param weight: the weight of the instance
:type weight: float | [
"Creates",
"a",
"new",
"sparse",
"instance",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L786-L813 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Attribute.values | def values(self):
"""
Returns the labels, strings or relation-values.
:return: all the values, None if not NOMINAL, STRING, or RELATION
:rtype: list
"""
enm = javabridge.call(self.jobject, "enumerateValues", "()Ljava/util/Enumeration;")
if enm is None:
return None
else:
return typeconv.enumeration_to_list(enm) | python | def values(self):
"""
Returns the labels, strings or relation-values.
:return: all the values, None if not NOMINAL, STRING, or RELATION
:rtype: list
"""
enm = javabridge.call(self.jobject, "enumerateValues", "()Ljava/util/Enumeration;")
if enm is None:
return None
else:
return typeconv.enumeration_to_list(enm) | [
"def",
"values",
"(",
"self",
")",
":",
"enm",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"enumerateValues\"",
",",
"\"()Ljava/util/Enumeration;\"",
")",
"if",
"enm",
"is",
"None",
":",
"return",
"None",
"else",
":",
"return",
"typ... | Returns the labels, strings or relation-values.
:return: all the values, None if not NOMINAL, STRING, or RELATION
:rtype: list | [
"Returns",
"the",
"labels",
"strings",
"or",
"relation",
"-",
"values",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L913-L924 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Attribute.type_str | def type_str(self, short=False):
"""
Returns the type of the attribute as string.
:return: the type
:rtype: str
"""
if short:
return javabridge.static_call(
"weka/core/Attribute", "typeToStringShort", "(Lweka/core/Attribute;)Ljava/lang/String;",
self.jobject)
else:
return javabridge.static_call(
"weka/core/Attribute", "typeToString", "(Lweka/core/Attribute;)Ljava/lang/String;",
self.jobject) | python | def type_str(self, short=False):
"""
Returns the type of the attribute as string.
:return: the type
:rtype: str
"""
if short:
return javabridge.static_call(
"weka/core/Attribute", "typeToStringShort", "(Lweka/core/Attribute;)Ljava/lang/String;",
self.jobject)
else:
return javabridge.static_call(
"weka/core/Attribute", "typeToString", "(Lweka/core/Attribute;)Ljava/lang/String;",
self.jobject) | [
"def",
"type_str",
"(",
"self",
",",
"short",
"=",
"False",
")",
":",
"if",
"short",
":",
"return",
"javabridge",
".",
"static_call",
"(",
"\"weka/core/Attribute\"",
",",
"\"typeToStringShort\"",
",",
"\"(Lweka/core/Attribute;)Ljava/lang/String;\"",
",",
"self",
"."... | Returns the type of the attribute as string.
:return: the type
:rtype: str | [
"Returns",
"the",
"type",
"of",
"the",
"attribute",
"as",
"string",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L946-L960 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Attribute.copy | def copy(self, name=None):
"""
Creates a copy of this attribute.
:param name: the new name, uses the old one if None
:type name: str
:return: the copy of the attribute
:rtype: Attribute
"""
if name is None:
return Attribute(
javabridge.call(self.jobject, "copy", "()Ljava/lang/Object;"))
else:
return Attribute(
javabridge.call(self.jobject, "copy", "(Ljava/lang/String;)Lweka/core/Attribute;", name)) | python | def copy(self, name=None):
"""
Creates a copy of this attribute.
:param name: the new name, uses the old one if None
:type name: str
:return: the copy of the attribute
:rtype: Attribute
"""
if name is None:
return Attribute(
javabridge.call(self.jobject, "copy", "()Ljava/lang/Object;"))
else:
return Attribute(
javabridge.call(self.jobject, "copy", "(Ljava/lang/String;)Lweka/core/Attribute;", name)) | [
"def",
"copy",
"(",
"self",
",",
"name",
"=",
"None",
")",
":",
"if",
"name",
"is",
"None",
":",
"return",
"Attribute",
"(",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"copy\"",
",",
"\"()Ljava/lang/Object;\"",
")",
")",
"else",
":"... | Creates a copy of this attribute.
:param name: the new name, uses the old one if None
:type name: str
:return: the copy of the attribute
:rtype: Attribute | [
"Creates",
"a",
"copy",
"of",
"this",
"attribute",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L1119-L1133 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Attribute.create_nominal | def create_nominal(cls, name, labels):
"""
Creates a nominal attribute.
:param name: the name of the attribute
:type name: str
:param labels: the list of string labels to use
:type labels: list
"""
return Attribute(
javabridge.make_instance(
"weka/core/Attribute", "(Ljava/lang/String;Ljava/util/List;)V", name, javabridge.make_list(labels))) | python | def create_nominal(cls, name, labels):
"""
Creates a nominal attribute.
:param name: the name of the attribute
:type name: str
:param labels: the list of string labels to use
:type labels: list
"""
return Attribute(
javabridge.make_instance(
"weka/core/Attribute", "(Ljava/lang/String;Ljava/util/List;)V", name, javabridge.make_list(labels))) | [
"def",
"create_nominal",
"(",
"cls",
",",
"name",
",",
"labels",
")",
":",
"return",
"Attribute",
"(",
"javabridge",
".",
"make_instance",
"(",
"\"weka/core/Attribute\"",
",",
"\"(Ljava/lang/String;Ljava/util/List;)V\"",
",",
"name",
",",
"javabridge",
".",
"make_li... | Creates a nominal attribute.
:param name: the name of the attribute
:type name: str
:param labels: the list of string labels to use
:type labels: list | [
"Creates",
"a",
"nominal",
"attribute",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L1162-L1173 |
fracpete/python-weka-wrapper3 | python/weka/core/dataset.py | Attribute.create_relational | def create_relational(cls, name, inst):
"""
Creates a relational attribute.
:param name: the name of the attribute
:type name: str
:param inst: the structure of the relational attribute
:type inst: Instances
"""
return Attribute(
javabridge.make_instance(
"weka/core/Attribute", "(Ljava/lang/String;Lweka/core/Instances;)V", name, inst.jobject)) | python | def create_relational(cls, name, inst):
"""
Creates a relational attribute.
:param name: the name of the attribute
:type name: str
:param inst: the structure of the relational attribute
:type inst: Instances
"""
return Attribute(
javabridge.make_instance(
"weka/core/Attribute", "(Ljava/lang/String;Lweka/core/Instances;)V", name, inst.jobject)) | [
"def",
"create_relational",
"(",
"cls",
",",
"name",
",",
"inst",
")",
":",
"return",
"Attribute",
"(",
"javabridge",
".",
"make_instance",
"(",
"\"weka/core/Attribute\"",
",",
"\"(Ljava/lang/String;Lweka/core/Instances;)V\"",
",",
"name",
",",
"inst",
".",
"jobject... | Creates a relational attribute.
:param name: the name of the attribute
:type name: str
:param inst: the structure of the relational attribute
:type inst: Instances | [
"Creates",
"a",
"relational",
"attribute",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/dataset.py#L1188-L1199 |
fracpete/python-weka-wrapper3 | python/weka/core/jvm.py | add_bundled_jars | def add_bundled_jars():
"""
Adds the bundled jars to the JVM's classpath.
"""
# determine lib directory with jars
rootdir = os.path.split(os.path.dirname(__file__))[0]
libdir = rootdir + os.sep + "lib"
# add jars from lib directory
for l in glob.glob(libdir + os.sep + "*.jar"):
if l.lower().find("-src.") == -1:
javabridge.JARS.append(str(l)) | python | def add_bundled_jars():
"""
Adds the bundled jars to the JVM's classpath.
"""
# determine lib directory with jars
rootdir = os.path.split(os.path.dirname(__file__))[0]
libdir = rootdir + os.sep + "lib"
# add jars from lib directory
for l in glob.glob(libdir + os.sep + "*.jar"):
if l.lower().find("-src.") == -1:
javabridge.JARS.append(str(l)) | [
"def",
"add_bundled_jars",
"(",
")",
":",
"# determine lib directory with jars",
"rootdir",
"=",
"os",
".",
"path",
".",
"split",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"__file__",
")",
")",
"[",
"0",
"]",
"libdir",
"=",
"rootdir",
"+",
"os",
".",
... | Adds the bundled jars to the JVM's classpath. | [
"Adds",
"the",
"bundled",
"jars",
"to",
"the",
"JVM",
"s",
"classpath",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/jvm.py#L31-L42 |
fracpete/python-weka-wrapper3 | python/weka/core/jvm.py | add_system_classpath | def add_system_classpath():
"""
Adds the system's classpath to the JVM's classpath.
"""
if 'CLASSPATH' in os.environ:
parts = os.environ['CLASSPATH'].split(os.pathsep)
for part in parts:
javabridge.JARS.append(part) | python | def add_system_classpath():
"""
Adds the system's classpath to the JVM's classpath.
"""
if 'CLASSPATH' in os.environ:
parts = os.environ['CLASSPATH'].split(os.pathsep)
for part in parts:
javabridge.JARS.append(part) | [
"def",
"add_system_classpath",
"(",
")",
":",
"if",
"'CLASSPATH'",
"in",
"os",
".",
"environ",
":",
"parts",
"=",
"os",
".",
"environ",
"[",
"'CLASSPATH'",
"]",
".",
"split",
"(",
"os",
".",
"pathsep",
")",
"for",
"part",
"in",
"parts",
":",
"javabridg... | Adds the system's classpath to the JVM's classpath. | [
"Adds",
"the",
"system",
"s",
"classpath",
"to",
"the",
"JVM",
"s",
"classpath",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/jvm.py#L45-L52 |
fracpete/python-weka-wrapper3 | python/weka/core/jvm.py | start | def start(class_path=None, bundled=True, packages=False, system_cp=False, max_heap_size=None):
"""
Initializes the javabridge connection (starts up the JVM).
:param class_path: the additional classpath elements to add
:type class_path: list
:param bundled: whether to add jars from the "lib" directory
:type bundled: bool
:param packages: whether to add jars from Weka packages as well (bool) or an alternative Weka home directory (str)
:type packages: bool or str
:param system_cp: whether to add the system classpath as well
:type system_cp: bool
:param max_heap_size: the maximum heap size (-Xmx parameter, eg 512m or 4g)
:type max_heap_size: str
"""
global started
if started is not None:
logger.info("JVM already running, call jvm.stop() first")
return
# add user-defined jars first
if class_path is not None:
for cp in class_path:
logger.debug("Adding user-supplied classpath=" + cp)
javabridge.JARS.append(cp)
if bundled:
logger.debug("Adding bundled jars")
add_bundled_jars()
if system_cp:
logger.debug("Adding system classpath")
add_system_classpath()
logger.debug("Classpath=" + str(javabridge.JARS))
logger.debug("MaxHeapSize=" + ("default" if (max_heap_size is None) else max_heap_size))
args = []
weka_home = None
if packages is not None:
if isinstance(packages, bool):
if packages:
logger.debug("Package support enabled")
else:
logger.debug("Package support disabled")
args.append("-Dweka.packageManager.loadPackages=false")
if isinstance(packages, str):
if os.path.exists(packages) and os.path.isdir(packages):
logger.debug("Using alternative Weka home directory: " + packages)
weka_home = packages
else:
logger.warning("Invalid Weka home: " + packages)
javabridge.start_vm(args=args, run_headless=True, max_heap_size=max_heap_size)
javabridge.attach()
started = True
if weka_home is not None:
from weka.core.classes import Environment
env = Environment.system_wide()
logger.debug("Using alternative Weka home directory: " + packages)
env.add_variable("WEKA_HOME", weka_home)
# initialize package manager
javabridge.static_call(
"Lweka/core/WekaPackageManager;", "loadPackages",
"(Z)V",
False) | python | def start(class_path=None, bundled=True, packages=False, system_cp=False, max_heap_size=None):
"""
Initializes the javabridge connection (starts up the JVM).
:param class_path: the additional classpath elements to add
:type class_path: list
:param bundled: whether to add jars from the "lib" directory
:type bundled: bool
:param packages: whether to add jars from Weka packages as well (bool) or an alternative Weka home directory (str)
:type packages: bool or str
:param system_cp: whether to add the system classpath as well
:type system_cp: bool
:param max_heap_size: the maximum heap size (-Xmx parameter, eg 512m or 4g)
:type max_heap_size: str
"""
global started
if started is not None:
logger.info("JVM already running, call jvm.stop() first")
return
# add user-defined jars first
if class_path is not None:
for cp in class_path:
logger.debug("Adding user-supplied classpath=" + cp)
javabridge.JARS.append(cp)
if bundled:
logger.debug("Adding bundled jars")
add_bundled_jars()
if system_cp:
logger.debug("Adding system classpath")
add_system_classpath()
logger.debug("Classpath=" + str(javabridge.JARS))
logger.debug("MaxHeapSize=" + ("default" if (max_heap_size is None) else max_heap_size))
args = []
weka_home = None
if packages is not None:
if isinstance(packages, bool):
if packages:
logger.debug("Package support enabled")
else:
logger.debug("Package support disabled")
args.append("-Dweka.packageManager.loadPackages=false")
if isinstance(packages, str):
if os.path.exists(packages) and os.path.isdir(packages):
logger.debug("Using alternative Weka home directory: " + packages)
weka_home = packages
else:
logger.warning("Invalid Weka home: " + packages)
javabridge.start_vm(args=args, run_headless=True, max_heap_size=max_heap_size)
javabridge.attach()
started = True
if weka_home is not None:
from weka.core.classes import Environment
env = Environment.system_wide()
logger.debug("Using alternative Weka home directory: " + packages)
env.add_variable("WEKA_HOME", weka_home)
# initialize package manager
javabridge.static_call(
"Lweka/core/WekaPackageManager;", "loadPackages",
"(Z)V",
False) | [
"def",
"start",
"(",
"class_path",
"=",
"None",
",",
"bundled",
"=",
"True",
",",
"packages",
"=",
"False",
",",
"system_cp",
"=",
"False",
",",
"max_heap_size",
"=",
"None",
")",
":",
"global",
"started",
"if",
"started",
"is",
"not",
"None",
":",
"lo... | Initializes the javabridge connection (starts up the JVM).
:param class_path: the additional classpath elements to add
:type class_path: list
:param bundled: whether to add jars from the "lib" directory
:type bundled: bool
:param packages: whether to add jars from Weka packages as well (bool) or an alternative Weka home directory (str)
:type packages: bool or str
:param system_cp: whether to add the system classpath as well
:type system_cp: bool
:param max_heap_size: the maximum heap size (-Xmx parameter, eg 512m or 4g)
:type max_heap_size: str | [
"Initializes",
"the",
"javabridge",
"connection",
"(",
"starts",
"up",
"the",
"JVM",
")",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/jvm.py#L55-L123 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | get_class | def get_class(classname):
"""
Returns the class object associated with the dot-notation classname.
Taken from here: http://stackoverflow.com/a/452981
:param classname: the classname
:type classname: str
:return: the class object
:rtype: object
"""
parts = classname.split('.')
module = ".".join(parts[:-1])
m = __import__(module)
for comp in parts[1:]:
m = getattr(m, comp)
return m | python | def get_class(classname):
"""
Returns the class object associated with the dot-notation classname.
Taken from here: http://stackoverflow.com/a/452981
:param classname: the classname
:type classname: str
:return: the class object
:rtype: object
"""
parts = classname.split('.')
module = ".".join(parts[:-1])
m = __import__(module)
for comp in parts[1:]:
m = getattr(m, comp)
return m | [
"def",
"get_class",
"(",
"classname",
")",
":",
"parts",
"=",
"classname",
".",
"split",
"(",
"'.'",
")",
"module",
"=",
"\".\"",
".",
"join",
"(",
"parts",
"[",
":",
"-",
"1",
"]",
")",
"m",
"=",
"__import__",
"(",
"module",
")",
"for",
"comp",
... | Returns the class object associated with the dot-notation classname.
Taken from here: http://stackoverflow.com/a/452981
:param classname: the classname
:type classname: str
:return: the class object
:rtype: object | [
"Returns",
"the",
"class",
"object",
"associated",
"with",
"the",
"dot",
"-",
"notation",
"classname",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L33-L49 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | get_jclass | def get_jclass(classname):
"""
Returns the Java class object associated with the dot-notation classname.
:param classname: the classname
:type classname: str
:return: the class object
:rtype: JB_Object
"""
try:
return javabridge.class_for_name(classname)
except:
return javabridge.static_call(
"Lweka/core/ClassHelper;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;)Ljava/lang/Class;",
javabridge.class_for_name("java.lang.Object"), classname) | python | def get_jclass(classname):
"""
Returns the Java class object associated with the dot-notation classname.
:param classname: the classname
:type classname: str
:return: the class object
:rtype: JB_Object
"""
try:
return javabridge.class_for_name(classname)
except:
return javabridge.static_call(
"Lweka/core/ClassHelper;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;)Ljava/lang/Class;",
javabridge.class_for_name("java.lang.Object"), classname) | [
"def",
"get_jclass",
"(",
"classname",
")",
":",
"try",
":",
"return",
"javabridge",
".",
"class_for_name",
"(",
"classname",
")",
"except",
":",
"return",
"javabridge",
".",
"static_call",
"(",
"\"Lweka/core/ClassHelper;\"",
",",
"\"forName\"",
",",
"\"(Ljava/lan... | Returns the Java class object associated with the dot-notation classname.
:param classname: the classname
:type classname: str
:return: the class object
:rtype: JB_Object | [
"Returns",
"the",
"Java",
"class",
"object",
"associated",
"with",
"the",
"dot",
"-",
"notation",
"classname",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L52-L67 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | get_static_field | def get_static_field(classname, fieldname, signature):
"""
Returns the Java object associated with the static field of the specified class.
:param classname: the classname of the class to get the field from
:type classname: str
:param fieldname: the name of the field to retriev
:type fieldname: str
:return: the object
:rtype: JB_Object
"""
try:
return javabridge.get_static_field(classname, fieldname, signature)
except:
return javabridge.static_call(
"Lweka/core/ClassHelper;", "getStaticField",
"(Ljava/lang/String;Ljava/lang/String;)Ljava/lang/Object;",
classname, fieldname) | python | def get_static_field(classname, fieldname, signature):
"""
Returns the Java object associated with the static field of the specified class.
:param classname: the classname of the class to get the field from
:type classname: str
:param fieldname: the name of the field to retriev
:type fieldname: str
:return: the object
:rtype: JB_Object
"""
try:
return javabridge.get_static_field(classname, fieldname, signature)
except:
return javabridge.static_call(
"Lweka/core/ClassHelper;", "getStaticField",
"(Ljava/lang/String;Ljava/lang/String;)Ljava/lang/Object;",
classname, fieldname) | [
"def",
"get_static_field",
"(",
"classname",
",",
"fieldname",
",",
"signature",
")",
":",
"try",
":",
"return",
"javabridge",
".",
"get_static_field",
"(",
"classname",
",",
"fieldname",
",",
"signature",
")",
"except",
":",
"return",
"javabridge",
".",
"stat... | Returns the Java object associated with the static field of the specified class.
:param classname: the classname of the class to get the field from
:type classname: str
:param fieldname: the name of the field to retriev
:type fieldname: str
:return: the object
:rtype: JB_Object | [
"Returns",
"the",
"Java",
"object",
"associated",
"with",
"the",
"static",
"field",
"of",
"the",
"specified",
"class",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L70-L87 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | get_classname | def get_classname(obj):
"""
Returns the classname of the JB_Object, Python class or object.
:param obj: the java object or Python class/object to get the classname for
:type obj: object
:return: the classname
:rtype: str
"""
if isinstance(obj, javabridge.JB_Object):
cls = javabridge.call(obj, "getClass", "()Ljava/lang/Class;")
return javabridge.call(cls, "getName", "()Ljava/lang/String;")
elif inspect.isclass(obj):
return obj.__module__ + "." + obj.__name__
else:
return get_classname(obj.__class__) | python | def get_classname(obj):
"""
Returns the classname of the JB_Object, Python class or object.
:param obj: the java object or Python class/object to get the classname for
:type obj: object
:return: the classname
:rtype: str
"""
if isinstance(obj, javabridge.JB_Object):
cls = javabridge.call(obj, "getClass", "()Ljava/lang/Class;")
return javabridge.call(cls, "getName", "()Ljava/lang/String;")
elif inspect.isclass(obj):
return obj.__module__ + "." + obj.__name__
else:
return get_classname(obj.__class__) | [
"def",
"get_classname",
"(",
"obj",
")",
":",
"if",
"isinstance",
"(",
"obj",
",",
"javabridge",
".",
"JB_Object",
")",
":",
"cls",
"=",
"javabridge",
".",
"call",
"(",
"obj",
",",
"\"getClass\"",
",",
"\"()Ljava/lang/Class;\"",
")",
"return",
"javabridge",
... | Returns the classname of the JB_Object, Python class or object.
:param obj: the java object or Python class/object to get the classname for
:type obj: object
:return: the classname
:rtype: str | [
"Returns",
"the",
"classname",
"of",
"the",
"JB_Object",
"Python",
"class",
"or",
"object",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L90-L105 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | is_instance_of | def is_instance_of(obj, class_or_intf_name):
"""
Checks whether the Java object implements the specified interface or is a subclass of the superclass.
:param obj: the Java object to check
:type obj: JB_Object
:param class_or_intf_name: the superclass or interface to check, dot notation or with forward slashes
:type class_or_intf_name: str
:return: true if either implements interface or subclass of superclass
:rtype: bool
"""
class_or_intf_name = class_or_intf_name.replace("/", ".")
classname = get_classname(obj)
# array? retrieve component type and check that
if is_array(obj):
jarray = JavaArray(jobject=obj)
classname = jarray.component_type()
result = javabridge.static_call(
"Lweka/core/InheritanceUtils;", "isSubclass",
"(Ljava/lang/String;Ljava/lang/String;)Z",
class_or_intf_name, classname)
if result:
return True
return javabridge.static_call(
"Lweka/core/InheritanceUtils;", "hasInterface",
"(Ljava/lang/String;Ljava/lang/String;)Z",
class_or_intf_name, classname) | python | def is_instance_of(obj, class_or_intf_name):
"""
Checks whether the Java object implements the specified interface or is a subclass of the superclass.
:param obj: the Java object to check
:type obj: JB_Object
:param class_or_intf_name: the superclass or interface to check, dot notation or with forward slashes
:type class_or_intf_name: str
:return: true if either implements interface or subclass of superclass
:rtype: bool
"""
class_or_intf_name = class_or_intf_name.replace("/", ".")
classname = get_classname(obj)
# array? retrieve component type and check that
if is_array(obj):
jarray = JavaArray(jobject=obj)
classname = jarray.component_type()
result = javabridge.static_call(
"Lweka/core/InheritanceUtils;", "isSubclass",
"(Ljava/lang/String;Ljava/lang/String;)Z",
class_or_intf_name, classname)
if result:
return True
return javabridge.static_call(
"Lweka/core/InheritanceUtils;", "hasInterface",
"(Ljava/lang/String;Ljava/lang/String;)Z",
class_or_intf_name, classname) | [
"def",
"is_instance_of",
"(",
"obj",
",",
"class_or_intf_name",
")",
":",
"class_or_intf_name",
"=",
"class_or_intf_name",
".",
"replace",
"(",
"\"/\"",
",",
"\".\"",
")",
"classname",
"=",
"get_classname",
"(",
"obj",
")",
"# array? retrieve component type and check ... | Checks whether the Java object implements the specified interface or is a subclass of the superclass.
:param obj: the Java object to check
:type obj: JB_Object
:param class_or_intf_name: the superclass or interface to check, dot notation or with forward slashes
:type class_or_intf_name: str
:return: true if either implements interface or subclass of superclass
:rtype: bool | [
"Checks",
"whether",
"the",
"Java",
"object",
"implements",
"the",
"specified",
"interface",
"or",
"is",
"a",
"subclass",
"of",
"the",
"superclass",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L108-L134 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | from_commandline | def from_commandline(cmdline, classname=None):
"""
Creates an OptionHandler based on the provided commandline string.
:param cmdline: the commandline string to use
:type cmdline: str
:param classname: the classname of the wrapper to return other than OptionHandler (in dot-notation)
:type classname: str
:return: the generated option handler instance
:rtype: object
"""
params = split_options(cmdline)
cls = params[0]
params = params[1:]
handler = OptionHandler(javabridge.static_call(
"Lweka/core/Utils;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;[Ljava/lang/String;)Ljava/lang/Object;",
javabridge.class_for_name("java.lang.Object"), cls, params))
if classname is None:
return handler
else:
c = get_class(classname)
return c(jobject=handler.jobject) | python | def from_commandline(cmdline, classname=None):
"""
Creates an OptionHandler based on the provided commandline string.
:param cmdline: the commandline string to use
:type cmdline: str
:param classname: the classname of the wrapper to return other than OptionHandler (in dot-notation)
:type classname: str
:return: the generated option handler instance
:rtype: object
"""
params = split_options(cmdline)
cls = params[0]
params = params[1:]
handler = OptionHandler(javabridge.static_call(
"Lweka/core/Utils;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;[Ljava/lang/String;)Ljava/lang/Object;",
javabridge.class_for_name("java.lang.Object"), cls, params))
if classname is None:
return handler
else:
c = get_class(classname)
return c(jobject=handler.jobject) | [
"def",
"from_commandline",
"(",
"cmdline",
",",
"classname",
"=",
"None",
")",
":",
"params",
"=",
"split_options",
"(",
"cmdline",
")",
"cls",
"=",
"params",
"[",
"0",
"]",
"params",
"=",
"params",
"[",
"1",
":",
"]",
"handler",
"=",
"OptionHandler",
... | Creates an OptionHandler based on the provided commandline string.
:param cmdline: the commandline string to use
:type cmdline: str
:param classname: the classname of the wrapper to return other than OptionHandler (in dot-notation)
:type classname: str
:return: the generated option handler instance
:rtype: object | [
"Creates",
"an",
"OptionHandler",
"based",
"on",
"the",
"provided",
"commandline",
"string",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1683-L1705 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | complete_classname | def complete_classname(classname):
"""
Attempts to complete a partial classname like '.J48' and returns the full
classname if a single match was found, otherwise an exception is raised.
:param classname: the partial classname to expand
:type classname: str
:return: the full classname
:rtype: str
"""
result = javabridge.get_collection_wrapper(
javabridge.static_call(
"Lweka/Run;", "findSchemeMatch",
"(Ljava/lang/String;Z)Ljava/util/List;",
classname, True))
if len(result) == 1:
return str(result[0])
elif len(result) == 0:
raise Exception("No classname matches found for: " + classname)
else:
matches = []
for i in range(len(result)):
matches.append(str(result[i]))
raise Exception("Found multiple matches for '" + classname + "':\n" + '\n'.join(matches)) | python | def complete_classname(classname):
"""
Attempts to complete a partial classname like '.J48' and returns the full
classname if a single match was found, otherwise an exception is raised.
:param classname: the partial classname to expand
:type classname: str
:return: the full classname
:rtype: str
"""
result = javabridge.get_collection_wrapper(
javabridge.static_call(
"Lweka/Run;", "findSchemeMatch",
"(Ljava/lang/String;Z)Ljava/util/List;",
classname, True))
if len(result) == 1:
return str(result[0])
elif len(result) == 0:
raise Exception("No classname matches found for: " + classname)
else:
matches = []
for i in range(len(result)):
matches.append(str(result[i]))
raise Exception("Found multiple matches for '" + classname + "':\n" + '\n'.join(matches)) | [
"def",
"complete_classname",
"(",
"classname",
")",
":",
"result",
"=",
"javabridge",
".",
"get_collection_wrapper",
"(",
"javabridge",
".",
"static_call",
"(",
"\"Lweka/Run;\"",
",",
"\"findSchemeMatch\"",
",",
"\"(Ljava/lang/String;Z)Ljava/util/List;\"",
",",
"classname... | Attempts to complete a partial classname like '.J48' and returns the full
classname if a single match was found, otherwise an exception is raised.
:param classname: the partial classname to expand
:type classname: str
:return: the full classname
:rtype: str | [
"Attempts",
"to",
"complete",
"a",
"partial",
"classname",
"like",
".",
"J48",
"and",
"returns",
"the",
"full",
"classname",
"if",
"a",
"single",
"match",
"was",
"found",
"otherwise",
"an",
"exception",
"is",
"raised",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1708-L1732 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | main | def main():
"""
Runs a classifier from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
"""
parser = argparse.ArgumentParser(
description='Performs option handling operations from the command-line. Calls JVM start/stop automatically.')
parser.add_argument("-j", metavar="classpath", dest="classpath", help="additional classpath, jars/directories")
parser.add_argument("-action", metavar="action", dest="action", required=True,
help="The action to perform on the options: join=create single string, "\
"split=create array from quoted option, code=generate code from options")
parser.add_argument("option", nargs=argparse.REMAINDER, help="The option(s) to process")
parsed = parser.parse_args()
jars = []
if parsed.classpath is not None:
jars = parsed.classpath.split(os.pathsep)
jvm.start(jars, packages=True)
try:
if parsed.action == "join":
output = "cmdline = \"" + backquote(join_options(parsed.option)) + "\""
elif parsed.action == "split" and len(parsed.option) == 1:
output = "options = [\n"
opts = split_options(parsed.option[0])
for idx, opt in enumerate(opts):
if idx > 0:
output += ",\n"
output += " \"" + backquote(opt) + "\""
output += "]"
elif parsed.action == "code":
options = parsed.option[:]
cname = None
# classname + options?
if options[0].find(".") > -1:
cname = options[0]
options = options[1:]
output = "options = [ \n"
for idx, opt in enumerate(options):
if idx > 0:
output += ",\n"
output += " \"" + backquote(opt) + "\""
output += "]\n"
if cname is not None:
output += 'handler = OptionHandler(JavaObject.new_instance("' + cname + '"))\n'
output += 'handler.options = options\n'
else:
raise Exception("Unsupported action: " + parsed.action)
if output is not None:
print(output)
except Exception as e:
print(e)
finally:
jvm.stop() | python | def main():
"""
Runs a classifier from the command-line. Calls JVM start/stop automatically.
Use -h to see all options.
"""
parser = argparse.ArgumentParser(
description='Performs option handling operations from the command-line. Calls JVM start/stop automatically.')
parser.add_argument("-j", metavar="classpath", dest="classpath", help="additional classpath, jars/directories")
parser.add_argument("-action", metavar="action", dest="action", required=True,
help="The action to perform on the options: join=create single string, "\
"split=create array from quoted option, code=generate code from options")
parser.add_argument("option", nargs=argparse.REMAINDER, help="The option(s) to process")
parsed = parser.parse_args()
jars = []
if parsed.classpath is not None:
jars = parsed.classpath.split(os.pathsep)
jvm.start(jars, packages=True)
try:
if parsed.action == "join":
output = "cmdline = \"" + backquote(join_options(parsed.option)) + "\""
elif parsed.action == "split" and len(parsed.option) == 1:
output = "options = [\n"
opts = split_options(parsed.option[0])
for idx, opt in enumerate(opts):
if idx > 0:
output += ",\n"
output += " \"" + backquote(opt) + "\""
output += "]"
elif parsed.action == "code":
options = parsed.option[:]
cname = None
# classname + options?
if options[0].find(".") > -1:
cname = options[0]
options = options[1:]
output = "options = [ \n"
for idx, opt in enumerate(options):
if idx > 0:
output += ",\n"
output += " \"" + backquote(opt) + "\""
output += "]\n"
if cname is not None:
output += 'handler = OptionHandler(JavaObject.new_instance("' + cname + '"))\n'
output += 'handler.options = options\n'
else:
raise Exception("Unsupported action: " + parsed.action)
if output is not None:
print(output)
except Exception as e:
print(e)
finally:
jvm.stop() | [
"def",
"main",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
"description",
"=",
"'Performs option handling operations from the command-line. Calls JVM start/stop automatically.'",
")",
"parser",
".",
"add_argument",
"(",
"\"-j\"",
",",
"metavar",
... | Runs a classifier from the command-line. Calls JVM start/stop automatically.
Use -h to see all options. | [
"Runs",
"a",
"classifier",
"from",
"the",
"command",
"-",
"line",
".",
"Calls",
"JVM",
"start",
"/",
"stop",
"automatically",
".",
"Use",
"-",
"h",
"to",
"see",
"all",
"options",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L2031-L2084 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JSONObject.to_json | def to_json(self):
"""
Returns the options as JSON.
:return: the object as string
:rtype: str
"""
return json.dumps(self.to_dict(), sort_keys=True, indent=2, separators=(',', ': ')) | python | def to_json(self):
"""
Returns the options as JSON.
:return: the object as string
:rtype: str
"""
return json.dumps(self.to_dict(), sort_keys=True, indent=2, separators=(',', ': ')) | [
"def",
"to_json",
"(",
"self",
")",
":",
"return",
"json",
".",
"dumps",
"(",
"self",
".",
"to_dict",
"(",
")",
",",
"sort_keys",
"=",
"True",
",",
"indent",
"=",
"2",
",",
"separators",
"=",
"(",
"','",
",",
"': '",
")",
")"
] | Returns the options as JSON.
:return: the object as string
:rtype: str | [
"Returns",
"the",
"options",
"as",
"JSON",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L250-L257 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JSONObject.from_json | def from_json(cls, s):
"""
Restores the object from the given JSON.
:param s: the JSON string to parse
:type s: str
:return: the
"""
d = json.loads(s)
return get_dict_handler(d["type"])(d) | python | def from_json(cls, s):
"""
Restores the object from the given JSON.
:param s: the JSON string to parse
:type s: str
:return: the
"""
d = json.loads(s)
return get_dict_handler(d["type"])(d) | [
"def",
"from_json",
"(",
"cls",
",",
"s",
")",
":",
"d",
"=",
"json",
".",
"loads",
"(",
"s",
")",
"return",
"get_dict_handler",
"(",
"d",
"[",
"\"type\"",
"]",
")",
"(",
"d",
")"
] | Restores the object from the given JSON.
:param s: the JSON string to parse
:type s: str
:return: the | [
"Restores",
"the",
"object",
"from",
"the",
"given",
"JSON",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L260-L269 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Configurable.to_dict | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = {}
result["type"] = "Configurable"
result["class"] = get_classname(self)
result["config"] = {}
for k in self._config:
v = self._config[k]
if isinstance(v, JSONObject):
result["config"][k] = v.to_dict()
else:
result["config"][k] = v
return result | python | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = {}
result["type"] = "Configurable"
result["class"] = get_classname(self)
result["config"] = {}
for k in self._config:
v = self._config[k]
if isinstance(v, JSONObject):
result["config"][k] = v.to_dict()
else:
result["config"][k] = v
return result | [
"def",
"to_dict",
"(",
"self",
")",
":",
"result",
"=",
"{",
"}",
"result",
"[",
"\"type\"",
"]",
"=",
"\"Configurable\"",
"result",
"[",
"\"class\"",
"]",
"=",
"get_classname",
"(",
"self",
")",
"result",
"[",
"\"config\"",
"]",
"=",
"{",
"}",
"for",
... | Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict | [
"Returns",
"a",
"dictionary",
"that",
"represents",
"this",
"object",
"to",
"be",
"used",
"for",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L352-L369 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Configurable.from_dict | def from_dict(cls, d):
"""
Restores its state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
"""
conf = {}
for k in d["config"]:
v = d["config"][k]
if isinstance(v, dict):
conf[str(k)] = get_dict_handler(d["config"]["type"])(v)
else:
conf[str(k)] = v
return get_class(str(d["class"]))(config=conf) | python | def from_dict(cls, d):
"""
Restores its state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
"""
conf = {}
for k in d["config"]:
v = d["config"][k]
if isinstance(v, dict):
conf[str(k)] = get_dict_handler(d["config"]["type"])(v)
else:
conf[str(k)] = v
return get_class(str(d["class"]))(config=conf) | [
"def",
"from_dict",
"(",
"cls",
",",
"d",
")",
":",
"conf",
"=",
"{",
"}",
"for",
"k",
"in",
"d",
"[",
"\"config\"",
"]",
":",
"v",
"=",
"d",
"[",
"\"config\"",
"]",
"[",
"k",
"]",
"if",
"isinstance",
"(",
"v",
",",
"dict",
")",
":",
"conf",
... | Restores its state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict | [
"Restores",
"its",
"state",
"from",
"a",
"dictionary",
"used",
"in",
"de",
"-",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L372-L386 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Configurable.logger | def logger(self):
"""
Returns the logger object.
:return: the logger
:rtype: logger
"""
if self._logger is None:
self._logger = self.new_logger()
return self._logger | python | def logger(self):
"""
Returns the logger object.
:return: the logger
:rtype: logger
"""
if self._logger is None:
self._logger = self.new_logger()
return self._logger | [
"def",
"logger",
"(",
"self",
")",
":",
"if",
"self",
".",
"_logger",
"is",
"None",
":",
"self",
".",
"_logger",
"=",
"self",
".",
"new_logger",
"(",
")",
"return",
"self",
".",
"_logger"
] | Returns the logger object.
:return: the logger
:rtype: logger | [
"Returns",
"the",
"logger",
"object",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L398-L407 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Configurable.generate_help | def generate_help(self):
"""
Generates a help string for this actor.
:return: the help string
:rtype: str
"""
result = []
result.append(self.__class__.__name__)
result.append(re.sub(r'.', '=', self.__class__.__name__))
result.append("")
result.append("DESCRIPTION")
result.append(self.description())
result.append("")
result.append("OPTIONS")
opts = sorted(self.config.keys())
for opt in opts:
result.append(opt)
helpstr = self.help[opt]
if helpstr is None:
helpstr = "-missing help-"
result.append("\t" + helpstr)
result.append("")
return '\n'.join(result) | python | def generate_help(self):
"""
Generates a help string for this actor.
:return: the help string
:rtype: str
"""
result = []
result.append(self.__class__.__name__)
result.append(re.sub(r'.', '=', self.__class__.__name__))
result.append("")
result.append("DESCRIPTION")
result.append(self.description())
result.append("")
result.append("OPTIONS")
opts = sorted(self.config.keys())
for opt in opts:
result.append(opt)
helpstr = self.help[opt]
if helpstr is None:
helpstr = "-missing help-"
result.append("\t" + helpstr)
result.append("")
return '\n'.join(result) | [
"def",
"generate_help",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"result",
".",
"append",
"(",
"self",
".",
"__class__",
".",
"__name__",
")",
"result",
".",
"append",
"(",
"re",
".",
"sub",
"(",
"r'.'",
",",
"'='",
",",
"self",
".",
"__clas... | Generates a help string for this actor.
:return: the help string
:rtype: str | [
"Generates",
"a",
"help",
"string",
"for",
"this",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L419-L442 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaObject.classname | def classname(self):
"""
Returns the Java classname in dot-notation.
:return: the Java classname
:rtype: str
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
return javabridge.call(cls, "getName", "()Ljava/lang/String;") | python | def classname(self):
"""
Returns the Java classname in dot-notation.
:return: the Java classname
:rtype: str
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
return javabridge.call(cls, "getName", "()Ljava/lang/String;") | [
"def",
"classname",
"(",
"self",
")",
":",
"cls",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getClass\"",
",",
"\"()Ljava/lang/Class;\"",
")",
"return",
"javabridge",
".",
"call",
"(",
"cls",
",",
"\"getName\"",
",",
"\"()Ljava/lang... | Returns the Java classname in dot-notation.
:return: the Java classname
:rtype: str | [
"Returns",
"the",
"Java",
"classname",
"in",
"dot",
"-",
"notation",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L494-L502 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaObject.set_property | def set_property(self, path, jobject):
"""
Attempts to set the value (jobject, a Java object) of the provided (bean) property path.
:param path: the property path, e.g., "filter" for a setFilter(...)/getFilter() method pair
:type path: str
:param jobject: the Java object to set; if instance of JavaObject class, the jobject member is automatically used
:type jobject: JB_Object
"""
# unwrap?
if isinstance(jobject, JavaObject):
jobject = jobject.jobject
javabridge.static_call(
"Lweka/core/PropertyPath;", "setValue",
"(Ljava/lang/Object;Ljava/lang/String;Ljava/lang/Object;)V",
self.jobject, path, jobject) | python | def set_property(self, path, jobject):
"""
Attempts to set the value (jobject, a Java object) of the provided (bean) property path.
:param path: the property path, e.g., "filter" for a setFilter(...)/getFilter() method pair
:type path: str
:param jobject: the Java object to set; if instance of JavaObject class, the jobject member is automatically used
:type jobject: JB_Object
"""
# unwrap?
if isinstance(jobject, JavaObject):
jobject = jobject.jobject
javabridge.static_call(
"Lweka/core/PropertyPath;", "setValue",
"(Ljava/lang/Object;Ljava/lang/String;Ljava/lang/Object;)V",
self.jobject, path, jobject) | [
"def",
"set_property",
"(",
"self",
",",
"path",
",",
"jobject",
")",
":",
"# unwrap?",
"if",
"isinstance",
"(",
"jobject",
",",
"JavaObject",
")",
":",
"jobject",
"=",
"jobject",
".",
"jobject",
"javabridge",
".",
"static_call",
"(",
"\"Lweka/core/PropertyPat... | Attempts to set the value (jobject, a Java object) of the provided (bean) property path.
:param path: the property path, e.g., "filter" for a setFilter(...)/getFilter() method pair
:type path: str
:param jobject: the Java object to set; if instance of JavaObject class, the jobject member is automatically used
:type jobject: JB_Object | [
"Attempts",
"to",
"set",
"the",
"value",
"(",
"jobject",
"a",
"Java",
"object",
")",
"of",
"the",
"provided",
"(",
"bean",
")",
"property",
"path",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L504-L520 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaObject.enforce_type | def enforce_type(cls, jobject, intf_or_class):
"""
Raises an exception if the object does not implement the specified interface or is not a subclass.
:param jobject: the Java object to check
:type jobject: JB_Object
:param intf_or_class: the classname in Java notation (eg "weka.core.DenseInstance")
:type intf_or_class: str
"""
if not cls.check_type(jobject, intf_or_class):
raise TypeError("Object does not implement or subclass " + intf_or_class + ": " + get_classname(jobject)) | python | def enforce_type(cls, jobject, intf_or_class):
"""
Raises an exception if the object does not implement the specified interface or is not a subclass.
:param jobject: the Java object to check
:type jobject: JB_Object
:param intf_or_class: the classname in Java notation (eg "weka.core.DenseInstance")
:type intf_or_class: str
"""
if not cls.check_type(jobject, intf_or_class):
raise TypeError("Object does not implement or subclass " + intf_or_class + ": " + get_classname(jobject)) | [
"def",
"enforce_type",
"(",
"cls",
",",
"jobject",
",",
"intf_or_class",
")",
":",
"if",
"not",
"cls",
".",
"check_type",
"(",
"jobject",
",",
"intf_or_class",
")",
":",
"raise",
"TypeError",
"(",
"\"Object does not implement or subclass \"",
"+",
"intf_or_class",... | Raises an exception if the object does not implement the specified interface or is not a subclass.
:param jobject: the Java object to check
:type jobject: JB_Object
:param intf_or_class: the classname in Java notation (eg "weka.core.DenseInstance")
:type intf_or_class: str | [
"Raises",
"an",
"exception",
"if",
"the",
"object",
"does",
"not",
"implement",
"the",
"specified",
"interface",
"or",
"is",
"not",
"a",
"subclass",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L621-L631 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaObject.new_instance | def new_instance(cls, classname):
"""
Creates a new object from the given classname using the default constructor, None in case of error.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:return: the Java object
:rtype: JB_Object
"""
try:
return javabridge.static_call(
"Lweka/core/Utils;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;[Ljava/lang/String;)Ljava/lang/Object;",
javabridge.class_for_name("java.lang.Object"), classname, [])
except JavaException as e:
print("Failed to instantiate " + classname + ": " + str(e))
return None | python | def new_instance(cls, classname):
"""
Creates a new object from the given classname using the default constructor, None in case of error.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:return: the Java object
:rtype: JB_Object
"""
try:
return javabridge.static_call(
"Lweka/core/Utils;", "forName",
"(Ljava/lang/Class;Ljava/lang/String;[Ljava/lang/String;)Ljava/lang/Object;",
javabridge.class_for_name("java.lang.Object"), classname, [])
except JavaException as e:
print("Failed to instantiate " + classname + ": " + str(e))
return None | [
"def",
"new_instance",
"(",
"cls",
",",
"classname",
")",
":",
"try",
":",
"return",
"javabridge",
".",
"static_call",
"(",
"\"Lweka/core/Utils;\"",
",",
"\"forName\"",
",",
"\"(Ljava/lang/Class;Ljava/lang/String;[Ljava/lang/String;)Ljava/lang/Object;\"",
",",
"javabridge",... | Creates a new object from the given classname using the default constructor, None in case of error.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:return: the Java object
:rtype: JB_Object | [
"Creates",
"a",
"new",
"object",
"from",
"the",
"given",
"classname",
"using",
"the",
"default",
"constructor",
"None",
"in",
"case",
"of",
"error",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L634-L650 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Environment.add_variable | def add_variable(self, key, value, system_wide=False):
"""
Adds the environment variable.
:param key: the name of the variable
:type key: str
:param value: the value
:type value: str
:param system_wide: whether to add the variable system wide
:type system_wide: bool
"""
if system_wide:
javabridge.call(self.jobject, "addVariableSystemWide", "(Ljava/lang/String;Ljava/lang/String;)V", key, value)
else:
javabridge.call(self.jobject, "addVariable", "(Ljava/lang/String;Ljava/lang/String;)V", key, value) | python | def add_variable(self, key, value, system_wide=False):
"""
Adds the environment variable.
:param key: the name of the variable
:type key: str
:param value: the value
:type value: str
:param system_wide: whether to add the variable system wide
:type system_wide: bool
"""
if system_wide:
javabridge.call(self.jobject, "addVariableSystemWide", "(Ljava/lang/String;Ljava/lang/String;)V", key, value)
else:
javabridge.call(self.jobject, "addVariable", "(Ljava/lang/String;Ljava/lang/String;)V", key, value) | [
"def",
"add_variable",
"(",
"self",
",",
"key",
",",
"value",
",",
"system_wide",
"=",
"False",
")",
":",
"if",
"system_wide",
":",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"addVariableSystemWide\"",
",",
"\"(Ljava/lang/String;Ljava/lang/St... | Adds the environment variable.
:param key: the name of the variable
:type key: str
:param value: the value
:type value: str
:param system_wide: whether to add the variable system wide
:type system_wide: bool | [
"Adds",
"the",
"environment",
"variable",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L671-L685 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Environment.variable_names | def variable_names(self):
"""
Returns the names of all environment variables.
:return: the names of the variables
:rtype: list
"""
result = []
names = javabridge.call(self.jobject, "getVariableNames", "()Ljava/util/Set;")
for name in javabridge.iterate_collection(names):
result.append(javabridge.to_string(name))
return result | python | def variable_names(self):
"""
Returns the names of all environment variables.
:return: the names of the variables
:rtype: list
"""
result = []
names = javabridge.call(self.jobject, "getVariableNames", "()Ljava/util/Set;")
for name in javabridge.iterate_collection(names):
result.append(javabridge.to_string(name))
return result | [
"def",
"variable_names",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"names",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getVariableNames\"",
",",
"\"()Ljava/util/Set;\"",
")",
"for",
"name",
"in",
"javabridge",
".",
"iterate_co... | Returns the names of all environment variables.
:return: the names of the variables
:rtype: list | [
"Returns",
"the",
"names",
"of",
"all",
"environment",
"variables",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L707-L718 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaArray.component_type | def component_type(self):
"""
Returns the classname of the elements.
:return: the class of the elements
:rtype: str
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
comptype = javabridge.call(cls, "getComponentType", "()Ljava/lang/Class;")
return javabridge.call(comptype, "getName", "()Ljava/lang/String;") | python | def component_type(self):
"""
Returns the classname of the elements.
:return: the class of the elements
:rtype: str
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
comptype = javabridge.call(cls, "getComponentType", "()Ljava/lang/Class;")
return javabridge.call(comptype, "getName", "()Ljava/lang/String;") | [
"def",
"component_type",
"(",
"self",
")",
":",
"cls",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getClass\"",
",",
"\"()Ljava/lang/Class;\"",
")",
"comptype",
"=",
"javabridge",
".",
"call",
"(",
"cls",
",",
"\"getComponentType\"",
... | Returns the classname of the elements.
:return: the class of the elements
:rtype: str | [
"Returns",
"the",
"classname",
"of",
"the",
"elements",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L843-L852 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | JavaArray.new_instance | def new_instance(cls, classname, length):
"""
Creates a new array with the given classname and length; initial values are null.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:param length: the length of the array
:type length: int
:return: the Java array
:rtype: JB_Object
"""
return javabridge.static_call(
"Ljava/lang/reflect/Array;",
"newInstance",
"(Ljava/lang/Class;I)Ljava/lang/Object;",
get_jclass(classname=classname), length) | python | def new_instance(cls, classname, length):
"""
Creates a new array with the given classname and length; initial values are null.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:param length: the length of the array
:type length: int
:return: the Java array
:rtype: JB_Object
"""
return javabridge.static_call(
"Ljava/lang/reflect/Array;",
"newInstance",
"(Ljava/lang/Class;I)Ljava/lang/Object;",
get_jclass(classname=classname), length) | [
"def",
"new_instance",
"(",
"cls",
",",
"classname",
",",
"length",
")",
":",
"return",
"javabridge",
".",
"static_call",
"(",
"\"Ljava/lang/reflect/Array;\"",
",",
"\"newInstance\"",
",",
"\"(Ljava/lang/Class;I)Ljava/lang/Object;\"",
",",
"get_jclass",
"(",
"classname"... | Creates a new array with the given classname and length; initial values are null.
:param classname: the classname in Java notation (eg "weka.core.DenseInstance")
:type classname: str
:param length: the length of the array
:type length: int
:return: the Java array
:rtype: JB_Object | [
"Creates",
"a",
"new",
"array",
"with",
"the",
"given",
"classname",
"and",
"length",
";",
"initial",
"values",
"are",
"null",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L855-L870 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Enum.values | def values(self):
"""
Returns list of all enum members.
:return: all enum members
:rtype: list
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
clsname = javabridge.call(cls, "getName", "()Ljava/lang/String;")
l = javabridge.static_call(clsname.replace(".", "/"), "values", "()[L" + clsname.replace(".", "/") + ";")
l = javabridge.get_env().get_object_array_elements(l)
result = []
for item in l:
result.append(Enum(jobject=item))
return result | python | def values(self):
"""
Returns list of all enum members.
:return: all enum members
:rtype: list
"""
cls = javabridge.call(self.jobject, "getClass", "()Ljava/lang/Class;")
clsname = javabridge.call(cls, "getName", "()Ljava/lang/String;")
l = javabridge.static_call(clsname.replace(".", "/"), "values", "()[L" + clsname.replace(".", "/") + ";")
l = javabridge.get_env().get_object_array_elements(l)
result = []
for item in l:
result.append(Enum(jobject=item))
return result | [
"def",
"values",
"(",
"self",
")",
":",
"cls",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getClass\"",
",",
"\"()Ljava/lang/Class;\"",
")",
"clsname",
"=",
"javabridge",
".",
"call",
"(",
"cls",
",",
"\"getName\"",
",",
"\"()Ljava... | Returns list of all enum members.
:return: all enum members
:rtype: list | [
"Returns",
"list",
"of",
"all",
"enum",
"members",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L918-L932 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Random.next_int | def next_int(self, n=None):
"""
Next random integer. if n is provided, then between 0 and n-1.
:param n: the upper limit (minus 1) for the random integer
:type n: int
:return: the next random integer
:rtype: int
"""
if n is None:
return javabridge.call(self.jobject, "nextInt", "()I")
else:
return javabridge.call(self.jobject, "nextInt", "(I)I", n) | python | def next_int(self, n=None):
"""
Next random integer. if n is provided, then between 0 and n-1.
:param n: the upper limit (minus 1) for the random integer
:type n: int
:return: the next random integer
:rtype: int
"""
if n is None:
return javabridge.call(self.jobject, "nextInt", "()I")
else:
return javabridge.call(self.jobject, "nextInt", "(I)I", n) | [
"def",
"next_int",
"(",
"self",
",",
"n",
"=",
"None",
")",
":",
"if",
"n",
"is",
"None",
":",
"return",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"nextInt\"",
",",
"\"()I\"",
")",
"else",
":",
"return",
"javabridge",
".",
"call"... | Next random integer. if n is provided, then between 0 and n-1.
:param n: the upper limit (minus 1) for the random integer
:type n: int
:return: the next random integer
:rtype: int | [
"Next",
"random",
"integer",
".",
"if",
"n",
"is",
"provided",
"then",
"between",
"0",
"and",
"n",
"-",
"1",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L949-L961 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | OptionHandler.options | def options(self):
"""
Obtains the currently set options as list.
:return: the list of options
:rtype: list
"""
if self.is_optionhandler:
return typeconv.string_array_to_list(javabridge.call(self.jobject, "getOptions", "()[Ljava/lang/String;"))
else:
return [] | python | def options(self):
"""
Obtains the currently set options as list.
:return: the list of options
:rtype: list
"""
if self.is_optionhandler:
return typeconv.string_array_to_list(javabridge.call(self.jobject, "getOptions", "()[Ljava/lang/String;"))
else:
return [] | [
"def",
"options",
"(",
"self",
")",
":",
"if",
"self",
".",
"is_optionhandler",
":",
"return",
"typeconv",
".",
"string_array_to_list",
"(",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getOptions\"",
",",
"\"()[Ljava/lang/String;\"",
")",
"... | Obtains the currently set options as list.
:return: the list of options
:rtype: list | [
"Obtains",
"the",
"currently",
"set",
"options",
"as",
"list",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1077-L1087 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | OptionHandler.options | def options(self, options):
"""
Sets the command-line options (as list).
:param options: the list of command-line options to set
:type options: list
"""
if self.is_optionhandler:
javabridge.call(self.jobject, "setOptions", "([Ljava/lang/String;)V", typeconv.string_list_to_array(options)) | python | def options(self, options):
"""
Sets the command-line options (as list).
:param options: the list of command-line options to set
:type options: list
"""
if self.is_optionhandler:
javabridge.call(self.jobject, "setOptions", "([Ljava/lang/String;)V", typeconv.string_list_to_array(options)) | [
"def",
"options",
"(",
"self",
",",
"options",
")",
":",
"if",
"self",
".",
"is_optionhandler",
":",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"setOptions\"",
",",
"\"([Ljava/lang/String;)V\"",
",",
"typeconv",
".",
"string_list_to_array",
... | Sets the command-line options (as list).
:param options: the list of command-line options to set
:type options: list | [
"Sets",
"the",
"command",
"-",
"line",
"options",
"(",
"as",
"list",
")",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1090-L1098 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | OptionHandler.to_help | def to_help(self):
"""
Returns a string that contains the 'global_info' text and the options.
:return: the generated help string
:rtype: str
"""
result = []
result.append(self.classname)
result.append("=" * len(self.classname))
result.append("")
result.append("DESCRIPTION")
result.append("")
result.append(self.global_info())
result.append("")
result.append("OPTIONS")
result.append("")
options = javabridge.call(self.jobject, "listOptions", "()Ljava/util/Enumeration;")
enum = javabridge.get_enumeration_wrapper(options)
while enum.hasMoreElements():
opt = Option(enum.nextElement())
result.append(opt.synopsis)
result.append(opt.description)
result.append("")
return '\n'.join(result) | python | def to_help(self):
"""
Returns a string that contains the 'global_info' text and the options.
:return: the generated help string
:rtype: str
"""
result = []
result.append(self.classname)
result.append("=" * len(self.classname))
result.append("")
result.append("DESCRIPTION")
result.append("")
result.append(self.global_info())
result.append("")
result.append("OPTIONS")
result.append("")
options = javabridge.call(self.jobject, "listOptions", "()Ljava/util/Enumeration;")
enum = javabridge.get_enumeration_wrapper(options)
while enum.hasMoreElements():
opt = Option(enum.nextElement())
result.append(opt.synopsis)
result.append(opt.description)
result.append("")
return '\n'.join(result) | [
"def",
"to_help",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"result",
".",
"append",
"(",
"self",
".",
"classname",
")",
"result",
".",
"append",
"(",
"\"=\"",
"*",
"len",
"(",
"self",
".",
"classname",
")",
")",
"result",
".",
"append",
"(",... | Returns a string that contains the 'global_info' text and the options.
:return: the generated help string
:rtype: str | [
"Returns",
"a",
"string",
"that",
"contains",
"the",
"global_info",
"text",
"and",
"the",
"options",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1112-L1136 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | OptionHandler.to_dict | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = super(OptionHandler, self).to_dict()
result["type"] = "OptionHandler"
result["options"] = join_options(self.options)
return result | python | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = super(OptionHandler, self).to_dict()
result["type"] = "OptionHandler"
result["options"] = join_options(self.options)
return result | [
"def",
"to_dict",
"(",
"self",
")",
":",
"result",
"=",
"super",
"(",
"OptionHandler",
",",
"self",
")",
".",
"to_dict",
"(",
")",
"result",
"[",
"\"type\"",
"]",
"=",
"\"OptionHandler\"",
"result",
"[",
"\"options\"",
"]",
"=",
"join_options",
"(",
"sel... | Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict | [
"Returns",
"a",
"dictionary",
"that",
"represents",
"this",
"object",
"to",
"be",
"used",
"for",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1147-L1157 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | OptionHandler.from_dict | def from_dict(cls, d):
"""
Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object
"""
result = OptionHandler(cls.new_instance(d["class"]))
result.options = split_options(d["options"])
return result | python | def from_dict(cls, d):
"""
Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object
"""
result = OptionHandler(cls.new_instance(d["class"]))
result.options = split_options(d["options"])
return result | [
"def",
"from_dict",
"(",
"cls",
",",
"d",
")",
":",
"result",
"=",
"OptionHandler",
"(",
"cls",
".",
"new_instance",
"(",
"d",
"[",
"\"class\"",
"]",
")",
")",
"result",
".",
"options",
"=",
"split_options",
"(",
"d",
"[",
"\"options\"",
"]",
")",
"r... | Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object | [
"Restores",
"an",
"object",
"state",
"from",
"a",
"dictionary",
"used",
"in",
"de",
"-",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1160-L1171 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Tags.find | def find(self, name):
"""
Returns the Tag that matches the name.
:param name: the string representation of the tag
:type name: str
:return: the tag, None if not found
:rtype: Tag
"""
result = None
for t in self.array:
if str(t) == name:
result = Tag(t.jobject)
break
return result | python | def find(self, name):
"""
Returns the Tag that matches the name.
:param name: the string representation of the tag
:type name: str
:return: the tag, None if not found
:rtype: Tag
"""
result = None
for t in self.array:
if str(t) == name:
result = Tag(t.jobject)
break
return result | [
"def",
"find",
"(",
"self",
",",
"name",
")",
":",
"result",
"=",
"None",
"for",
"t",
"in",
"self",
".",
"array",
":",
"if",
"str",
"(",
"t",
")",
"==",
"name",
":",
"result",
"=",
"Tag",
"(",
"t",
".",
"jobject",
")",
"break",
"return",
"resul... | Returns the Tag that matches the name.
:param name: the string representation of the tag
:type name: str
:return: the tag, None if not found
:rtype: Tag | [
"Returns",
"the",
"Tag",
"that",
"matches",
"the",
"name",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1471-L1485 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | Tags.get_object_tags | def get_object_tags(cls, javaobject, methodname):
"""
Instantiates the Tag array obtained from the object using the specified method name.
Example:
cls = Classifier(classname="weka.classifiers.meta.MultiSearch")
tags = Tags.get_object_tags(cls, "getMetricsTags")
:param javaobject: the javaobject to obtain the tags from
:type javaobject: JavaObject
:param methodname: the method name returning the Tag array
:type methodname: str
:return: the Tags objects
:rtype: Tags
"""
return Tags(jobject=javabridge.call(javaobject.jobject, methodname, "()[Lweka/core/Tag;")) | python | def get_object_tags(cls, javaobject, methodname):
"""
Instantiates the Tag array obtained from the object using the specified method name.
Example:
cls = Classifier(classname="weka.classifiers.meta.MultiSearch")
tags = Tags.get_object_tags(cls, "getMetricsTags")
:param javaobject: the javaobject to obtain the tags from
:type javaobject: JavaObject
:param methodname: the method name returning the Tag array
:type methodname: str
:return: the Tags objects
:rtype: Tags
"""
return Tags(jobject=javabridge.call(javaobject.jobject, methodname, "()[Lweka/core/Tag;")) | [
"def",
"get_object_tags",
"(",
"cls",
",",
"javaobject",
",",
"methodname",
")",
":",
"return",
"Tags",
"(",
"jobject",
"=",
"javabridge",
".",
"call",
"(",
"javaobject",
".",
"jobject",
",",
"methodname",
",",
"\"()[Lweka/core/Tag;\"",
")",
")"
] | Instantiates the Tag array obtained from the object using the specified method name.
Example:
cls = Classifier(classname="weka.classifiers.meta.MultiSearch")
tags = Tags.get_object_tags(cls, "getMetricsTags")
:param javaobject: the javaobject to obtain the tags from
:type javaobject: JavaObject
:param methodname: the method name returning the Tag array
:type methodname: str
:return: the Tags objects
:rtype: Tags | [
"Instantiates",
"the",
"Tag",
"array",
"obtained",
"from",
"the",
"object",
"using",
"the",
"specified",
"method",
"name",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1505-L1520 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SelectedTag.tags | def tags(self):
"""
Returns the associated tags.
:return: the list of Tag objects
:rtype: list
"""
result = []
a = javabridge.call(self.jobject, "getTags", "()Lweka/core/Tag;]")
length = javabridge.get_env().get_array_length(a)
wrapped = javabridge.get_env().get_object_array_elements(a)
for i in range(length):
result.append(Tag(javabridge.get_env().get_string(wrapped[i])))
return result | python | def tags(self):
"""
Returns the associated tags.
:return: the list of Tag objects
:rtype: list
"""
result = []
a = javabridge.call(self.jobject, "getTags", "()Lweka/core/Tag;]")
length = javabridge.get_env().get_array_length(a)
wrapped = javabridge.get_env().get_object_array_elements(a)
for i in range(length):
result.append(Tag(javabridge.get_env().get_string(wrapped[i])))
return result | [
"def",
"tags",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"a",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getTags\"",
",",
"\"()Lweka/core/Tag;]\"",
")",
"length",
"=",
"javabridge",
".",
"get_env",
"(",
")",
".",
"get_ar... | Returns the associated tags.
:return: the list of Tag objects
:rtype: list | [
"Returns",
"the",
"associated",
"tags",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1569-L1582 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SetupGenerator.base_object | def base_object(self):
"""
Returns the base object to apply the setups to.
:return: the base object
:rtype: JavaObject or OptionHandler
"""
jobj = javabridge.call(self.jobject, "getBaseObject", "()Ljava/io/Serializable;")
if OptionHandler.check_type(jobj, "weka.core.OptionHandler"):
return OptionHandler(jobj)
else:
return JavaObject(jobj) | python | def base_object(self):
"""
Returns the base object to apply the setups to.
:return: the base object
:rtype: JavaObject or OptionHandler
"""
jobj = javabridge.call(self.jobject, "getBaseObject", "()Ljava/io/Serializable;")
if OptionHandler.check_type(jobj, "weka.core.OptionHandler"):
return OptionHandler(jobj)
else:
return JavaObject(jobj) | [
"def",
"base_object",
"(",
"self",
")",
":",
"jobj",
"=",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getBaseObject\"",
",",
"\"()Ljava/io/Serializable;\"",
")",
"if",
"OptionHandler",
".",
"check_type",
"(",
"jobj",
",",
"\"weka.core.OptionH... | Returns the base object to apply the setups to.
:return: the base object
:rtype: JavaObject or OptionHandler | [
"Returns",
"the",
"base",
"object",
"to",
"apply",
"the",
"setups",
"to",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1961-L1972 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SetupGenerator.base_object | def base_object(self, obj):
"""
Sets the base object to apply the setups to.
:param obj: the object to use (must be serializable!)
:type obj: JavaObject
"""
if not obj.is_serializable:
raise Exception("Base object must be serializable: " + obj.classname)
javabridge.call(self.jobject, "setBaseObject", "(Ljava/io/Serializable;)V", obj.jobject) | python | def base_object(self, obj):
"""
Sets the base object to apply the setups to.
:param obj: the object to use (must be serializable!)
:type obj: JavaObject
"""
if not obj.is_serializable:
raise Exception("Base object must be serializable: " + obj.classname)
javabridge.call(self.jobject, "setBaseObject", "(Ljava/io/Serializable;)V", obj.jobject) | [
"def",
"base_object",
"(",
"self",
",",
"obj",
")",
":",
"if",
"not",
"obj",
".",
"is_serializable",
":",
"raise",
"Exception",
"(",
"\"Base object must be serializable: \"",
"+",
"obj",
".",
"classname",
")",
"javabridge",
".",
"call",
"(",
"self",
".",
"jo... | Sets the base object to apply the setups to.
:param obj: the object to use (must be serializable!)
:type obj: JavaObject | [
"Sets",
"the",
"base",
"object",
"to",
"apply",
"the",
"setups",
"to",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1975-L1984 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SetupGenerator.parameters | def parameters(self):
"""
Returns the list of currently set search parameters.
:return: the list of AbstractSearchParameter objects
:rtype: list
"""
array = JavaArray(javabridge.call(self.jobject, "getParameters", "()[Lweka/core/setupgenerator/AbstractParameter;"))
result = []
for item in array:
result.append(AbstractParameter(jobject=item.jobject))
return result | python | def parameters(self):
"""
Returns the list of currently set search parameters.
:return: the list of AbstractSearchParameter objects
:rtype: list
"""
array = JavaArray(javabridge.call(self.jobject, "getParameters", "()[Lweka/core/setupgenerator/AbstractParameter;"))
result = []
for item in array:
result.append(AbstractParameter(jobject=item.jobject))
return result | [
"def",
"parameters",
"(",
"self",
")",
":",
"array",
"=",
"JavaArray",
"(",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
",",
"\"getParameters\"",
",",
"\"()[Lweka/core/setupgenerator/AbstractParameter;\"",
")",
")",
"result",
"=",
"[",
"]",
"for",
... | Returns the list of currently set search parameters.
:return: the list of AbstractSearchParameter objects
:rtype: list | [
"Returns",
"the",
"list",
"of",
"currently",
"set",
"search",
"parameters",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L1987-L1998 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SetupGenerator.parameters | def parameters(self, params):
"""
Sets the list of search parameters to use.
:param params: list of AbstractSearchParameter objects
:type params: list
"""
array = JavaArray(jobject=JavaArray.new_instance("weka.core.setupgenerator.AbstractParameter", len(params)))
for idx, obj in enumerate(params):
array[idx] = obj.jobject
javabridge.call(self.jobject, "setParameters", "([Lweka/core/setupgenerator/AbstractParameter;)V", array.jobject) | python | def parameters(self, params):
"""
Sets the list of search parameters to use.
:param params: list of AbstractSearchParameter objects
:type params: list
"""
array = JavaArray(jobject=JavaArray.new_instance("weka.core.setupgenerator.AbstractParameter", len(params)))
for idx, obj in enumerate(params):
array[idx] = obj.jobject
javabridge.call(self.jobject, "setParameters", "([Lweka/core/setupgenerator/AbstractParameter;)V", array.jobject) | [
"def",
"parameters",
"(",
"self",
",",
"params",
")",
":",
"array",
"=",
"JavaArray",
"(",
"jobject",
"=",
"JavaArray",
".",
"new_instance",
"(",
"\"weka.core.setupgenerator.AbstractParameter\"",
",",
"len",
"(",
"params",
")",
")",
")",
"for",
"idx",
",",
"... | Sets the list of search parameters to use.
:param params: list of AbstractSearchParameter objects
:type params: list | [
"Sets",
"the",
"list",
"of",
"search",
"parameters",
"to",
"use",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L2001-L2011 |
fracpete/python-weka-wrapper3 | python/weka/core/classes.py | SetupGenerator.setups | def setups(self):
"""
Generates and returns all the setups according to the parameter search space.
:return: the list of configured objects (of type JavaObject)
:rtype: list
"""
result = []
has_options = self.base_object.is_optionhandler
enm = javabridge.get_enumeration_wrapper(javabridge.call(self.jobject, "setups", "()Ljava/util/Enumeration;"))
while enm.hasMoreElements():
if has_options:
result.append(OptionHandler(enm.nextElement()))
else:
result.append(JavaObject(enm.nextElement()))
return result | python | def setups(self):
"""
Generates and returns all the setups according to the parameter search space.
:return: the list of configured objects (of type JavaObject)
:rtype: list
"""
result = []
has_options = self.base_object.is_optionhandler
enm = javabridge.get_enumeration_wrapper(javabridge.call(self.jobject, "setups", "()Ljava/util/Enumeration;"))
while enm.hasMoreElements():
if has_options:
result.append(OptionHandler(enm.nextElement()))
else:
result.append(JavaObject(enm.nextElement()))
return result | [
"def",
"setups",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"has_options",
"=",
"self",
".",
"base_object",
".",
"is_optionhandler",
"enm",
"=",
"javabridge",
".",
"get_enumeration_wrapper",
"(",
"javabridge",
".",
"call",
"(",
"self",
".",
"jobject",
... | Generates and returns all the setups according to the parameter search space.
:return: the list of configured objects (of type JavaObject)
:rtype: list | [
"Generates",
"and",
"returns",
"all",
"the",
"setups",
"according",
"to",
"the",
"parameter",
"search",
"space",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/classes.py#L2013-L2028 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | to_commandline | def to_commandline(o):
"""
Turns the object into a commandline string. However, first checks whether a string represents
a internal value placeholder (@{...}).
:param o: the object to turn into commandline
:type o: object
:return: the commandline
:rtype: str
"""
if isinstance(o, str) and o.startswith("@{") and o.endswith("}"):
return o
else:
return classes.to_commandline(o) | python | def to_commandline(o):
"""
Turns the object into a commandline string. However, first checks whether a string represents
a internal value placeholder (@{...}).
:param o: the object to turn into commandline
:type o: object
:return: the commandline
:rtype: str
"""
if isinstance(o, str) and o.startswith("@{") and o.endswith("}"):
return o
else:
return classes.to_commandline(o) | [
"def",
"to_commandline",
"(",
"o",
")",
":",
"if",
"isinstance",
"(",
"o",
",",
"str",
")",
"and",
"o",
".",
"startswith",
"(",
"\"@{\"",
")",
"and",
"o",
".",
"endswith",
"(",
"\"}\"",
")",
":",
"return",
"o",
"else",
":",
"return",
"classes",
"."... | Turns the object into a commandline string. However, first checks whether a string represents
a internal value placeholder (@{...}).
:param o: the object to turn into commandline
:type o: object
:return: the commandline
:rtype: str | [
"Turns",
"the",
"object",
"into",
"a",
"commandline",
"string",
".",
"However",
"first",
"checks",
"whether",
"a",
"string",
"represents",
"a",
"internal",
"value",
"placeholder",
"(",
"@",
"{",
"...",
"}",
")",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L662-L675 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.unique_name | def unique_name(self, name):
"""
Generates a unique name.
:param name: the name to check
:type name: str
:return: the unique name
:rtype: str
"""
result = name
if self.parent is not None:
index = self.index
bname = re.sub(r'-[0-9]+$', '', name)
names = []
for idx, actor in enumerate(self.parent.actors):
if idx != index:
names.append(actor.name)
result = bname
count = 0
while result in names:
count += 1
result = bname + "-" + str(count)
return result | python | def unique_name(self, name):
"""
Generates a unique name.
:param name: the name to check
:type name: str
:return: the unique name
:rtype: str
"""
result = name
if self.parent is not None:
index = self.index
bname = re.sub(r'-[0-9]+$', '', name)
names = []
for idx, actor in enumerate(self.parent.actors):
if idx != index:
names.append(actor.name)
result = bname
count = 0
while result in names:
count += 1
result = bname + "-" + str(count)
return result | [
"def",
"unique_name",
"(",
"self",
",",
"name",
")",
":",
"result",
"=",
"name",
"if",
"self",
".",
"parent",
"is",
"not",
"None",
":",
"index",
"=",
"self",
".",
"index",
"bname",
"=",
"re",
".",
"sub",
"(",
"r'-[0-9]+$'",
",",
"''",
",",
"name",
... | Generates a unique name.
:param name: the name to check
:type name: str
:return: the unique name
:rtype: str | [
"Generates",
"a",
"unique",
"name",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L99-L123 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.parent | def parent(self, parent):
"""
Sets the parent of the actor.
:param parent: the parent
:type parent: Actor
"""
self._name = self.unique_name(self._name)
self._full_name = None
self._logger = None
self._parent = parent | python | def parent(self, parent):
"""
Sets the parent of the actor.
:param parent: the parent
:type parent: Actor
"""
self._name = self.unique_name(self._name)
self._full_name = None
self._logger = None
self._parent = parent | [
"def",
"parent",
"(",
"self",
",",
"parent",
")",
":",
"self",
".",
"_name",
"=",
"self",
".",
"unique_name",
"(",
"self",
".",
"_name",
")",
"self",
".",
"_full_name",
"=",
"None",
"self",
".",
"_logger",
"=",
"None",
"self",
".",
"_parent",
"=",
... | Sets the parent of the actor.
:param parent: the parent
:type parent: Actor | [
"Sets",
"the",
"parent",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L136-L146 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.full_name | def full_name(self):
"""
Obtains the full name of the actor.
:return: the full name
:rtype: str
"""
if self._full_name is None:
fn = self.name.replace(".", "\\.")
parent = self._parent
if parent is not None:
fn = parent.full_name + "." + fn
self._full_name = fn
return self._full_name | python | def full_name(self):
"""
Obtains the full name of the actor.
:return: the full name
:rtype: str
"""
if self._full_name is None:
fn = self.name.replace(".", "\\.")
parent = self._parent
if parent is not None:
fn = parent.full_name + "." + fn
self._full_name = fn
return self._full_name | [
"def",
"full_name",
"(",
"self",
")",
":",
"if",
"self",
".",
"_full_name",
"is",
"None",
":",
"fn",
"=",
"self",
".",
"name",
".",
"replace",
"(",
"\".\"",
",",
"\"\\\\.\"",
")",
"parent",
"=",
"self",
".",
"_parent",
"if",
"parent",
"is",
"not",
... | Obtains the full name of the actor.
:return: the full name
:rtype: str | [
"Obtains",
"the",
"full",
"name",
"of",
"the",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L162-L176 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.fix_config | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "annotation"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "The (optional) annotation for this actor (string)."
opt = "skip"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to skip (disable) this actor (bool)."
return super(Actor, self).fix_config(options) | python | def fix_config(self, options):
"""
Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict
"""
opt = "annotation"
if opt not in options:
options[opt] = None
if opt not in self.help:
self.help[opt] = "The (optional) annotation for this actor (string)."
opt = "skip"
if opt not in options:
options[opt] = False
if opt not in self.help:
self.help[opt] = "Whether to skip (disable) this actor (bool)."
return super(Actor, self).fix_config(options) | [
"def",
"fix_config",
"(",
"self",
",",
"options",
")",
":",
"opt",
"=",
"\"annotation\"",
"if",
"opt",
"not",
"in",
"options",
":",
"options",
"[",
"opt",
"]",
"=",
"None",
"if",
"opt",
"not",
"in",
"self",
".",
"help",
":",
"self",
".",
"help",
"[... | Fixes the options, if necessary. I.e., it adds all required elements to the dictionary.
:param options: the options to fix
:type options: dict
:return: the (potentially) fixed options
:rtype: dict | [
"Fixes",
"the",
"options",
"if",
"necessary",
".",
"I",
".",
"e",
".",
"it",
"adds",
"all",
"required",
"elements",
"to",
"the",
"dictionary",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L178-L199 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.to_dict | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = super(Actor, self).to_dict()
result["type"] = "Actor"
result["name"] = self.name
return result | python | def to_dict(self):
"""
Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict
"""
result = super(Actor, self).to_dict()
result["type"] = "Actor"
result["name"] = self.name
return result | [
"def",
"to_dict",
"(",
"self",
")",
":",
"result",
"=",
"super",
"(",
"Actor",
",",
"self",
")",
".",
"to_dict",
"(",
")",
"result",
"[",
"\"type\"",
"]",
"=",
"\"Actor\"",
"result",
"[",
"\"name\"",
"]",
"=",
"self",
".",
"name",
"return",
"result"
... | Returns a dictionary that represents this object, to be used for JSONification.
:return: the object dictionary
:rtype: dict | [
"Returns",
"a",
"dictionary",
"that",
"represents",
"this",
"object",
"to",
"be",
"used",
"for",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L201-L211 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.from_dict | def from_dict(cls, d):
"""
Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object
"""
conf = {}
for k in d["config"]:
v = d["config"][k]
if isinstance(v, dict):
if u"type" in v:
typestr = v[u"type"]
else:
typestr = v["type"]
conf[str(k)] = classes.get_dict_handler(typestr)(v)
else:
conf[str(k)] = v
return classes.get_class(d["class"])(name=d["name"], config=conf) | python | def from_dict(cls, d):
"""
Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object
"""
conf = {}
for k in d["config"]:
v = d["config"][k]
if isinstance(v, dict):
if u"type" in v:
typestr = v[u"type"]
else:
typestr = v["type"]
conf[str(k)] = classes.get_dict_handler(typestr)(v)
else:
conf[str(k)] = v
return classes.get_class(d["class"])(name=d["name"], config=conf) | [
"def",
"from_dict",
"(",
"cls",
",",
"d",
")",
":",
"conf",
"=",
"{",
"}",
"for",
"k",
"in",
"d",
"[",
"\"config\"",
"]",
":",
"v",
"=",
"d",
"[",
"\"config\"",
"]",
"[",
"k",
"]",
"if",
"isinstance",
"(",
"v",
",",
"dict",
")",
":",
"if",
... | Restores an object state from a dictionary, used in de-JSONification.
:param d: the object dictionary
:type d: dict
:return: the object
:rtype: object | [
"Restores",
"an",
"object",
"state",
"from",
"a",
"dictionary",
"used",
"in",
"de",
"-",
"JSONification",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L214-L234 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.resolve_option | def resolve_option(self, name, default=None):
"""
Resolves the option, i.e., interprets "@{...}" values and retrievs them instead from internal
storage.
:param name: the name of the option
:type name: str
:param default: the optional default value
:type default: object
:return: the resolved value
:rtype: object
"""
value = self.config[name]
if value is None:
return default
elif isinstance(value, str) \
and value.startswith("@{") \
and value.endswith("}") \
and (value.find("@{", 1) == -1):
stname = value[2:len(value)-1]
if (self.storagehandler is not None) and (stname in self.storagehandler.storage):
return self.storagehandler.storage[stname]
else:
return default
else:
return value | python | def resolve_option(self, name, default=None):
"""
Resolves the option, i.e., interprets "@{...}" values and retrievs them instead from internal
storage.
:param name: the name of the option
:type name: str
:param default: the optional default value
:type default: object
:return: the resolved value
:rtype: object
"""
value = self.config[name]
if value is None:
return default
elif isinstance(value, str) \
and value.startswith("@{") \
and value.endswith("}") \
and (value.find("@{", 1) == -1):
stname = value[2:len(value)-1]
if (self.storagehandler is not None) and (stname in self.storagehandler.storage):
return self.storagehandler.storage[stname]
else:
return default
else:
return value | [
"def",
"resolve_option",
"(",
"self",
",",
"name",
",",
"default",
"=",
"None",
")",
":",
"value",
"=",
"self",
".",
"config",
"[",
"name",
"]",
"if",
"value",
"is",
"None",
":",
"return",
"default",
"elif",
"isinstance",
"(",
"value",
",",
"str",
")... | Resolves the option, i.e., interprets "@{...}" values and retrievs them instead from internal
storage.
:param name: the name of the option
:type name: str
:param default: the optional default value
:type default: object
:return: the resolved value
:rtype: object | [
"Resolves",
"the",
"option",
"i",
".",
"e",
".",
"interprets",
"@",
"{",
"...",
"}",
"values",
"and",
"retrievs",
"them",
"instead",
"from",
"internal",
"storage",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L236-L261 |
fracpete/python-weka-wrapper3 | python/weka/flow/base.py | Actor.storagehandler | def storagehandler(self):
"""
Returns the storage handler available to thise actor.
:return: the storage handler, None if not available
"""
if isinstance(self, StorageHandler):
return self
elif self.parent is not None:
return self.parent.storagehandler
else:
return None | python | def storagehandler(self):
"""
Returns the storage handler available to thise actor.
:return: the storage handler, None if not available
"""
if isinstance(self, StorageHandler):
return self
elif self.parent is not None:
return self.parent.storagehandler
else:
return None | [
"def",
"storagehandler",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
",",
"StorageHandler",
")",
":",
"return",
"self",
"elif",
"self",
".",
"parent",
"is",
"not",
"None",
":",
"return",
"self",
".",
"parent",
".",
"storagehandler",
"else",
"... | Returns the storage handler available to thise actor.
:return: the storage handler, None if not available | [
"Returns",
"the",
"storage",
"handler",
"available",
"to",
"thise",
"actor",
"."
] | train | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/flow/base.py#L294-L305 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.