INSTRUCTION
stringlengths
1
8.43k
RESPONSE
stringlengths
75
104k
Initialize a UtteranceAnalysis object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a UtteranceAnalysis object from a json dictionary.""" args = {} if 'utterance_id' in _dict: args['utterance_id'] = _dict.get('utterance_id') else: raise ValueError( 'Required property \'utterance_id\' not p...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'utterance_id') and self.utterance_id is not None: _dict['utterance_id'] = self.utterance_id if hasattr(self, 'utterance_text') and self.utterance_text is not None: ...
Get response to user input.
def message(self, workspace_id, input=None, intents=None, entities=None, alternate_intents=None, context=None, output=None, nodes_visited_details=None, **kwargs): """ ...
List workspaces.
def list_workspaces(self, page_limit=None, include_count=None, sort=None, cursor=None, include_audit=None, **kwargs): """ List workspaces. List the wor...
Update workspace.
def update_workspace(self, workspace_id, name=None, description=None, language=None, metadata=None, learning_opt_out=None, system_settings=None, ...
Create intent.
def create_intent(self, workspace_id, intent, description=None, examples=None, **kwargs): """ Create intent. Create a new intent. This operation is limited to 2000 requests per ...
Update intent.
def update_intent(self, workspace_id, intent, new_intent=None, new_description=None, new_examples=None, **kwargs): """ Update intent. Update an existing intent wit...
Create user input example.
def create_example(self, workspace_id, intent, text, mentions=None, **kwargs): """ Create user input example. Add a new user input example to an intent. This operation is l...
Create entity.
def create_entity(self, workspace_id, entity, description=None, metadata=None, fuzzy_match=None, values=None, **kwargs): """ Create entity. C...
Update entity.
def update_entity(self, workspace_id, entity, new_entity=None, new_description=None, new_metadata=None, new_fuzzy_match=None, new_values=None, *...
Create entity value.
def create_value(self, workspace_id, entity, value, metadata=None, value_type=None, synonyms=None, patterns=None, **kwargs): """ Create ...
Update entity value.
def update_value(self, workspace_id, entity, value, new_value=None, new_metadata=None, new_value_type=None, new_synonyms=None, new_patterns=None, ...
Create dialog node.
def create_dialog_node(self, workspace_id, dialog_node, description=None, conditions=None, parent=None, previous_sibling=None, outp...
Update dialog node.
def update_dialog_node(self, workspace_id, dialog_node, new_dialog_node=None, new_description=None, new_conditions=None, new_parent=None, ...
Initialize a Context object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a Context object from a json dictionary.""" args = {} xtra = _dict.copy() if 'conversation_id' in _dict: args['conversation_id'] = _dict.get('conversation_id') del xtra['conversation_id'] if 'system' in _dict: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'conversation_id') and self.conversation_id is not None: _dict['conversation_id'] = self.conversation_id if hasattr(self, 'system') and self.system is no...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'text') and self.text is not None: _dict['text'] = self.text if hasattr(self, 'created') and self.created is not None: _dict['created'] = datetime_to_string(sel...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'counterexamples') and self.counterexamples is not None: _dict['counterexamples'] = [ x._to_dict() for x in self.counterexamples ] ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'entity') and self.entity is not None: _dict['entity'] = self.entity if hasattr(self, 'description') and self.description is not None: _dict['description'] = se...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'intent') and self.intent is not None: _dict['intent'] = self.intent if hasattr(self, 'description') and self.description is not None: _dict['description'] = se...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'value') and self.value is not None: _dict['value'] = self.value if hasattr(self, 'metadata') and self.metadata is not None: _dict['metadata'] = self.metadata ...
Initialize a DialogNode object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a DialogNode object from a json dictionary.""" args = {} if 'dialog_node' in _dict: args['dialog_node'] = _dict.get('dialog_node') else: raise ValueError( 'Required property \'dialog_node\' not present in D...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'dialog_node') and self.dialog_node is not None: _dict['dialog_node'] = self.dialog_node if hasattr(self, 'description') and self.description is not None: _dict...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'dialog_nodes') and self.dialog_nodes is not None: _dict['dialog_nodes'] = [x._to_dict() for x in self.dialog_nodes] if hasattr(self, 'pagination') and self.pagination is n...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'behavior') and self.behavior is not None: _dict['behavior'] = self.behavior if hasattr(self, 'dialog_node') and self.dialog_node is not None: _dict['dialog_nod...
Initialize a DialogNodeOutput object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a DialogNodeOutput object from a json dictionary.""" args = {} xtra = _dict.copy() if 'generic' in _dict: args['generic'] = [ DialogNodeOutputGeneric._from_dict(x) for x in (_dict.get('generic')) ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'generic') and self.generic is not None: _dict['generic'] = [x._to_dict() for x in self.generic] if hasattr(self, 'modifiers') and self.modifiers is not None: _...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'response_type') and self.response_type is not None: _dict['response_type'] = self.response_type if hasattr(self, 'values') and self.values is not None: _dict['...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'overwrite') and self.overwrite is not None: _dict['overwrite'] = self.overwrite return _dict
Initialize a DialogRuntimeResponseGeneric object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a DialogRuntimeResponseGeneric object from a json dictionary.""" args = {} if 'response_type' in _dict: args['response_type'] = _dict.get('response_type') else: raise ValueError( 'Required property \'respon...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'response_type') and self.response_type is not None: _dict['response_type'] = self.response_type if hasattr(self, 'text') and self.text is not None: _dict['text...
Initialize a DialogSuggestionValue object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a DialogSuggestionValue object from a json dictionary.""" args = {} if 'input' in _dict: args['input'] = MessageInput._from_dict(_dict.get('input')) if 'intents' in _dict: args['intents'] = [ RuntimeIntent....
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'input') and self.input is not None: _dict['input'] = self.input._to_dict() if hasattr(self, 'intents') and self.intents is not None: _dict['intents'] = [x._to_...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'entities') and self.entities is not None: _dict['entities'] = [x._to_dict() for x in self.entities] if hasattr(self, 'pagination') and self.pagination is not None: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'examples') and self.examples is not None: _dict['examples'] = [x._to_dict() for x in self.examples] if hasattr(self, 'pagination') and self.pagination is not None: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'intents') and self.intents is not None: _dict['intents'] = [x._to_dict() for x in self.intents] if hasattr(self, 'pagination') and self.pagination is not None: ...
Initialize a Log object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a Log object from a json dictionary.""" args = {} if 'request' in _dict: args['request'] = MessageRequest._from_dict(_dict.get('request')) else: raise ValueError( 'Required property \'request\' not present ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'request') and self.request is not None: _dict['request'] = self.request._to_dict() if hasattr(self, 'response') and self.response is not None: _dict['response'...
Initialize a LogCollection object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a LogCollection object from a json dictionary.""" args = {} if 'logs' in _dict: args['logs'] = [Log._from_dict(x) for x in (_dict.get('logs'))] else: raise ValueError( 'Required property \'logs\' not presen...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'logs') and self.logs is not None: _dict['logs'] = [x._to_dict() for x in self.logs] if hasattr(self, 'pagination') and self.pagination is not None: _dict['pagi...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'level') and self.level is not None: _dict['level'] = self.level if hasattr(self, 'msg') and self.msg is not None: _dict['msg'] = self.msg if hasattr(se...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'next_url') and self.next_url is not None: _dict['next_url'] = self.next_url if hasattr(self, 'matched') and self.matched is not None: _dict['matched'] = self.m...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'entity') and self.entity is not None: _dict['entity'] = self.entity if hasattr(self, 'location') and self.location is not None: _dict['location'] = self.locati...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'deployment') and self.deployment is not None: _dict['deployment'] = self.deployment if hasattr(self, 'user_id') and self.user_id is not None: _dict['user_id'] ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'text') and self.text is not None: _dict['text'] = self.text if hasattr(self, '_additionalProperties'): for _key in self._additionalProperties: ...
Initialize a MessageRequest object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a MessageRequest object from a json dictionary.""" args = {} if 'input' in _dict: args['input'] = MessageInput._from_dict(_dict.get('input')) if 'intents' in _dict: args['intents'] = [ RuntimeIntent._from_d...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'input') and self.input is not None: _dict['input'] = self.input._to_dict() if hasattr(self, 'intents') and self.intents is not None: _dict['intents'] = [x._to_...
Initialize a OutputData object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a OutputData object from a json dictionary.""" args = {} xtra = _dict.copy() if 'log_messages' in _dict: args['log_messages'] = [ LogMessage._from_dict(x) for x in (_dict.get('log_messages')) ] ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'log_messages') and self.log_messages is not None: _dict['log_messages'] = [x._to_dict() for x in self.log_messages] if hasattr(self, 'text') and self.text is not None: ...
Initialize a RuntimeEntity object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a RuntimeEntity object from a json dictionary.""" args = {} xtra = _dict.copy() if 'entity' in _dict: args['entity'] = _dict.get('entity') del xtra['entity'] else: raise ValueError( 'Req...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'entity') and self.entity is not None: _dict['entity'] = self.entity if hasattr(self, 'location') and self.location is not None: _dict['location'] = self.locati...
Initialize a RuntimeIntent object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a RuntimeIntent object from a json dictionary.""" args = {} xtra = _dict.copy() if 'intent' in _dict: args['intent'] = _dict.get('intent') del xtra['intent'] else: raise ValueError( 'Req...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'intent') and self.intent is not None: _dict['intent'] = self.intent if hasattr(self, 'confidence') and self.confidence is not None: _dict['confidence'] = self....
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'synonym') and self.synonym is not None: _dict['synonym'] = self.synonym if hasattr(self, 'created') and self.created is not None: _dict['created'] = datetime_t...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'synonyms') and self.synonyms is not None: _dict['synonyms'] = [x._to_dict() for x in self.synonyms] if hasattr(self, 'pagination') and self.pagination is not None: ...
Initialize a ValueCollection object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a ValueCollection object from a json dictionary.""" args = {} if 'values' in _dict: args['values'] = [ Value._from_dict(x) for x in (_dict.get('values')) ] else: raise ValueError( ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'values') and self.values is not None: _dict['values'] = [x._to_dict() for x in self.values] if hasattr(self, 'pagination') and self.pagination is not None: _di...
Initialize a Workspace object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a Workspace object from a json dictionary.""" args = {} if 'name' in _dict: args['name'] = _dict.get('name') else: raise ValueError( 'Required property \'name\' not present in Workspace JSON') if 'd...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'name') and self.name is not None: _dict['name'] = self.name if hasattr(self, 'description') and self.description is not None: _dict['description'] = self.descr...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'workspaces') and self.workspaces is not None: _dict['workspaces'] = [x._to_dict() for x in self.workspaces] if hasattr(self, 'pagination') and self.pagination is not None:...
Initialize a WorkspaceSystemSettings object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a WorkspaceSystemSettings object from a json dictionary.""" args = {} if 'tooling' in _dict: args['tooling'] = WorkspaceSystemSettingsTooling._from_dict( _dict.get('tooling')) if 'disambiguation' in _dict: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'tooling') and self.tooling is not None: _dict['tooling'] = self.tooling._to_dict() if hasattr(self, 'disambiguation') and self.disambiguation is not None: _dic...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'prompt') and self.prompt is not None: _dict['prompt'] = self.prompt if hasattr(self, 'none_of_the_above_prompt' ) and self.none_of_the_above_prompt is no...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'store_generic_responses' ) and self.store_generic_responses is not None: _dict['store_generic_responses'] = self.store_generic_responses return _dict
Classify a phrase.
def classify(self, classifier_id, text, **kwargs): """ Classify a phrase. Returns label information for the input. The status must be `Available` before you can use the classifier to classify text. :param str classifier_id: Classifier ID to use. :param str text: The sub...
Classify multiple phrases.
def classify_collection(self, classifier_id, collection, **kwargs): """ Classify multiple phrases. Returns label information for multiple phrases. The status must be `Available` before you can use the classifier to classify text. Note that classifying Japanese texts is a beta fe...
Create classifier.
def create_classifier(self, metadata, training_data, **kwargs): """ Create classifier. Sends data to create and train a classifier and returns information about the new classifier. :param file metadata: Metadata in JSON format. The metadata identifies the language of th...
Initialize a Classification object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a Classification object from a json dictionary.""" args = {} if 'classifier_id' in _dict: args['classifier_id'] = _dict.get('classifier_id') if 'url' in _dict: args['url'] = _dict.get('url') if 'text' in _dict: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'classifier_id') and self.classifier_id is not None: _dict['classifier_id'] = self.classifier_id if hasattr(self, 'url') and self.url is not None: _dict['url'] ...
Initialize a ClassificationCollection object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a ClassificationCollection object from a json dictionary.""" args = {} if 'classifier_id' in _dict: args['classifier_id'] = _dict.get('classifier_id') if 'url' in _dict: args['url'] = _dict.get('url') if 'collectio...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'classifier_id') and self.classifier_id is not None: _dict['classifier_id'] = self.classifier_id if hasattr(self, 'url') and self.url is not None: _dict['url'] ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'confidence') and self.confidence is not None: _dict['confidence'] = self.confidence if hasattr(self, 'class_name') and self.class_name is not None: _dict['clas...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'name') and self.name is not None: _dict['name'] = self.name if hasattr(self, 'url') and self.url is not None: _dict['url'] = self.url if hasattr(self, ...
Initialize a ClassifierList object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a ClassifierList object from a json dictionary.""" args = {} if 'classifiers' in _dict: args['classifiers'] = [ Classifier._from_dict(x) for x in (_dict.get('classifiers')) ] else: raise ValueEr...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'text') and self.text is not None: _dict['text'] = self.text if hasattr(self, 'top_class') and self.top_class is not None: _dict['top_class'] = self.top_class ...
Translate.
def translate(self, text, model_id=None, source=None, target=None, **kwargs): """ Translate. Translates the input text from the source language to the target language. :param list[str] text: Input text in UTF-8 encoding. Multiple entries will result in multipl...
Identify language.
def identify(self, text, **kwargs): """ Identify language. Identifies the language of the input text. :param str text: Input text in UTF-8 format. :param dict headers: A `dict` containing the request headers :return: A `DetailedResponse` containing the result, headers a...
Create model.
def create_model(self, base_model_id, forced_glossary=None, parallel_corpus=None, name=None, **kwargs): """ Create model. Uploads Translation Memory eXchange (TMX) files to customize a trans...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'status') and self.status is not None: _dict['status'] = self.status return _dict
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'language') and self.language is not None: _dict['language'] = self.language if hasattr(self, 'name') and self.name is not None: _dict['name'] = self.name ...
Initialize a IdentifiableLanguages object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a IdentifiableLanguages object from a json dictionary.""" args = {} if 'languages' in _dict: args['languages'] = [ IdentifiableLanguage._from_dict(x) for x in (_dict.get('languages')) ] else...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'languages') and self.languages is not None: _dict['languages'] = [x._to_dict() for x in self.languages] return _dict
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'language') and self.language is not None: _dict['language'] = self.language if hasattr(self, 'confidence') and self.confidence is not None: _dict['confidence']...
Initialize a IdentifiedLanguages object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a IdentifiedLanguages object from a json dictionary.""" args = {} if 'languages' in _dict: args['languages'] = [ IdentifiedLanguage._from_dict(x) for x in (_dict.get('languages')) ] else: ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr( self, 'translation_output') and self.translation_output is not None: _dict['translation'] = self.translation_output return _dict
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'model_id') and self.model_id is not None: _dict['model_id'] = self.model_id if hasattr(self, 'name') and self.name is not None: _dict['name'] = self.name ...
Initialize a TranslationModels object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a TranslationModels object from a json dictionary.""" args = {} if 'models' in _dict: args['models'] = [ TranslationModel._from_dict(x) for x in (_dict.get('models')) ] else: raise ValueError( ...
Initialize a TranslationResult object from a json dictionary.
def _from_dict(cls, _dict): """Initialize a TranslationResult object from a json dictionary.""" args = {} if 'word_count' in _dict: args['word_count'] = _dict.get('word_count') else: raise ValueError( 'Required property \'word_count\' not present i...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'word_count') and self.word_count is not None: _dict['word_count'] = self.word_count if hasattr(self, 'character_count') and self.character_count is not ...
Recognize audio.
def recognize(self, audio, model=None, language_customization_id=None, acoustic_customization_id=None, base_model_version=None, customization_weight=None, inactivity_timeout=None, ...
Register a callback.
def register_callback(self, callback_url, user_secret=None, **kwargs): """ Register a callback. Registers a callback URL with the service for use with subsequent asynchronous recognition requests. The service attempts to register, or white-list, the callback URL if it is not alr...
Unregister a callback.
def unregister_callback(self, callback_url, **kwargs): """ Unregister a callback. Unregisters a callback URL that was previously white-listed with a **Register a callback** request for use with the asynchronous interface. Once unregistered, the URL can no longer be used with asy...
Create a custom language model.
def create_language_model(self, name, base_model_name, dialect=None, description=None, **kwargs): """ Create a custom language model. Creates a n...
List custom language models.
def list_language_models(self, language=None, **kwargs): """ List custom language models. Lists information about all custom language models that are owned by an instance of the service. Use the `language` parameter to see all custom language models for the specified language. O...
Train a custom language model.
def train_language_model(self, customization_id, word_type_to_add=None, customization_weight=None, **kwargs): """ Train a custom language model. Initiates the training of a custom...
Add a corpus.
def add_corpus(self, customization_id, corpus_name, corpus_file, allow_overwrite=None, **kwargs): """ Add a corpus. Adds a single corpus text file of new training data to a custom language model. ...
Add a custom word.
def add_word(self, customization_id, word_name, word=None, sounds_like=None, display_as=None, **kwargs): """ Add a custom word. Adds a custom word to a custom language model. The service popula...
Add a grammar.
def add_grammar(self, customization_id, grammar_name, grammar_file, content_type, allow_overwrite=None, **kwargs): """ Add a grammar. Adds a single grammar file to a custom la...
Add an audio resource.
def add_audio(self, customization_id, audio_name, audio_resource, contained_content_type=None, allow_overwrite=None, content_type=None, **kwargs): """ Add an audio resource. ...
Return a json dictionary representing this model.
def _to_dict(self): """Return a json dictionary representing this model.""" _dict = {} if hasattr(self, 'customization_id') and self.customization_id is not None: _dict['customization_id'] = self.customization_id if hasattr(self, 'created') and self.created...