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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.groupby | def groupby(self, key_column_names, operations, *args):
"""
Perform a group on the key_column_names followed by aggregations on the
columns listed in operations.
The operations parameter is a dictionary that indicates which
aggregation operators to use and which columns to use t... | python | def groupby(self, key_column_names, operations, *args):
"""
Perform a group on the key_column_names followed by aggregations on the
columns listed in operations.
The operations parameter is a dictionary that indicates which
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.join | def join(self, right, on=None, how='inner'):
"""
Merge two SFrames. Merges the current (left) SFrame with the given
(right) SFrame using a SQL-style equi-join operation by columns.
Parameters
----------
right : SFrame
The SFrame to join.
on : None | ... | python | def join(self, right, on=None, how='inner'):
"""
Merge two SFrames. Merges the current (left) SFrame with the given
(right) SFrame using a SQL-style equi-join operation by columns.
Parameters
----------
right : SFrame
The SFrame to join.
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.filter_by | def filter_by(self, values, column_name, exclude=False):
"""
Filter an SFrame by values inside an iterable object. Result is an
SFrame that only includes (or excludes) the rows that have a column
with the given ``column_name`` which holds one of the values in the
given ``values``... | python | def filter_by(self, values, column_name, exclude=False):
"""
Filter an SFrame by values inside an iterable object. Result is an
SFrame that only includes (or excludes) the rows that have a column
with the given ``column_name`` which holds one of the values in the
given ``values``... | [
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.explore | def explore(self, title=None):
"""
Explore the SFrame in an interactive GUI. Opens a new app window.
Parameters
----------
title : str
The plot title to show for the resulting visualization. Defaults to None.
If the title is None, a default title will be ... | python | def explore(self, title=None):
"""
Explore the SFrame in an interactive GUI. Opens a new app window.
Parameters
----------
title : str
The plot title to show for the resulting visualization. Defaults to None.
If the title is None, a default title will be ... | [
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.pack_columns | def pack_columns(self, column_names=None, column_name_prefix=None, dtype=list,
fill_na=None, remove_prefix=True, new_column_name=None):
"""
Pack columns of the current SFrame into one single column. The result
is a new SFrame with the unaffected columns from the original SFr... | python | def pack_columns(self, column_names=None, column_name_prefix=None, dtype=list,
fill_na=None, remove_prefix=True, new_column_name=None):
"""
Pack columns of the current SFrame into one single column. The result
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.split_datetime | def split_datetime(self, column_name, column_name_prefix=None, limit=None, timezone=False):
"""
Splits a datetime column of SFrame to multiple columns, with each value in a
separate column. Returns a new SFrame with the expanded column replaced with
a list of new columns. The expanded co... | python | def split_datetime(self, column_name, column_name_prefix=None, limit=None, timezone=False):
"""
Splits a datetime column of SFrame to multiple columns, with each value in a
separate column. Returns a new SFrame with the expanded column replaced with
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.unpack | def unpack(self, column_name=None, column_name_prefix=None, column_types=None,
na_value=None, limit=None):
"""
Expand one column of this SFrame to multiple columns with each value in
a separate column. Returns a new SFrame with the unpacked column
replaced with a list of n... | python | def unpack(self, column_name=None, column_name_prefix=None, column_types=None,
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"""
Expand one column of this SFrame to multiple columns with each value in
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.stack | def stack(self, column_name, new_column_name=None, drop_na=False, new_column_type=None):
"""
Convert a "wide" column of an SFrame to one or two "tall" columns by
stacking all values.
The stack works only for columns of dict, list, or array type. If the
column is dict type, two ... | python | def stack(self, column_name, new_column_name=None, drop_na=False, new_column_type=None):
"""
Convert a "wide" column of an SFrame to one or two "tall" columns by
stacking all values.
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.unstack | def unstack(self, column_names, new_column_name=None):
"""
Concatenate values from one or two columns into one column, grouping by
all other columns. The resulting column could be of type list, array or
dictionary. If ``column_names`` is a numeric column, the result will be of
a... | python | def unstack(self, column_names, new_column_name=None):
"""
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.sort | def sort(self, key_column_names, ascending=True):
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"""
Sort current SFrame by the given columns, using the given sort order.
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.dropna | def dropna(self, columns=None, how='any'):
"""
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or ``NaN``. If ``how`` is 'any', a row will be removed if any of the
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"""
Remove missing values from an SFrame. A missing value is either ``None``
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.dropna_split | def dropna_split(self, columns=None, how='any'):
"""
Split rows with missing values from this SFrame. This function has the
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"""
Split rows with missing values from this SFrame. This function has the
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.fillna | def fillna(self, column_name, value):
"""
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"""
Fill all missing values with a given value in a given column. If the
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apple/turicreate | src/unity/python/turicreate/data_structures/sframe.py | SFrame.add_row_number | def add_row_number(self, column_name='id', start=0, inplace=False):
"""
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to a positive or negative number. The new column will be named with
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.AddSerializedFile | def AddSerializedFile(self, serialized_file_desc_proto):
"""Adds the FileDescriptorProto and its types to this pool.
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serialized_file_desc_proto: A bytes string, serialization of the
FileDescriptorProto to add.
"""
# pylint: disable=g-import-not-at-top
from google.protobuf impor... | python | def AddSerializedFile(self, serialized_file_desc_proto):
"""Adds the FileDescriptorProto and its types to this pool.
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serialized_file_desc_proto: A bytes string, serialization of the
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.AddDescriptor | def AddDescriptor(self, desc):
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desc: A Descriptor.
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if... | python | def AddDescriptor(self, desc):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.AddServiceDescriptor | def AddServiceDescriptor(self, service_desc):
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service_desc: A ServiceDescriptor.
"""
if not isinstance(service_desc, descriptor.ServiceDescriptor):
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service_desc: A ServiceDescriptor.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.AddExtensionDescriptor | def AddExtensionDescriptor(self, extension):
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extension: A FieldDescriptor.
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same message.
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extension: A FieldDescriptor.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.AddFileDescriptor | def AddFileDescriptor(self, file_desc):
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If the FileDescriptor contains messages or enums, the caller must explicitly
register them.
Args:
file_desc: A FileDescriptor.
"""
self._AddFileDescriptor(file_desc)
# TODO(jieluo): This i... | python | def AddFileDescriptor(self, file_desc):
"""Adds a FileDescriptor to the pool, non-recursively.
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Args:
file_desc: A FileDescriptor.
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self._AddFileDescriptor(file_desc)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._AddFileDescriptor | def _AddFileDescriptor(self, file_desc):
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Args:
file_desc: A FileDescriptor.
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... | python | def _AddFileDescriptor(self, file_desc):
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file_desc: A FileDescriptor.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindFileByName | def FindFileByName(self, file_name):
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Args:
file_name: The path to the file to get a descriptor for.
Returns:
A FileDescriptor for the named file.
Raises:
KeyError: if the file cannot be found in the pool.
"""
try:
return self._fi... | python | def FindFileByName(self, file_name):
"""Gets a FileDescriptor by file name.
Args:
file_name: The path to the file to get a descriptor for.
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A FileDescriptor for the named file.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindFileContainingSymbol | def FindFileContainingSymbol(self, symbol):
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symbol: The name of the symbol to search for.
Returns:
A FileDescriptor that contains the specified symbol.
Raises:
KeyError: if the file cannot be found in the... | python | def FindFileContainingSymbol(self, symbol):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindMessageTypeByName | def FindMessageTypeByName(self, full_name):
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Args:
full_name: The full name of the descriptor to load.
Returns:
The descriptor for the named type.
Raises:
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"""
full_name = _Norm... | python | def FindMessageTypeByName(self, full_name):
"""Loads the named descriptor from the pool.
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full_name: The full name of the descriptor to load.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindEnumTypeByName | def FindEnumTypeByName(self, full_name):
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full_name: The full name of the enum descriptor to load.
Returns:
The enum descriptor for the named type.
Raises:
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"""
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full_name: The full name of the enum descriptor to load.
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The enum descriptor for the named type.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindFieldByName | def FindFieldByName(self, full_name):
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full_name: The full name of the field descriptor to load.
Returns:
The field descriptor for the named field.
Raises:
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full_name: The full name of the field descriptor to load.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool.FindServiceByName | def FindServiceByName(self, full_name):
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Args:
full_name: The full name of the service descriptor to load.
Returns:
The service descriptor for the named service.
Raises:
KeyError: if the service cannot be found in the pool.
"""... | python | def FindServiceByName(self, full_name):
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full_name: The full name of the service descriptor to load.
Returns:
The service descriptor for the named service.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._FindFileContainingSymbolInDb | def _FindFileContainingSymbolInDb(self, symbol):
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Args:
symbol: The name of the symbol to search for.
Returns:
A FileDescriptor that contains the specified symbol.
Raises:
KeyError: if the file cannot be found in the... | python | def _FindFileContainingSymbolInDb(self, symbol):
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symbol: The name of the symbol to search for.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._ConvertFileProtoToFileDescriptor | def _ConvertFileProtoToFileDescriptor(self, file_proto):
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This method also has the side effect of loading all the symbols found in
the file into the appropriate dictionaries in the pool.
Args:
file_proto: The proto to convert.
... | python | def _ConvertFileProtoToFileDescriptor(self, file_proto):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._ConvertMessageDescriptor | def _ConvertMessageDescriptor(self, desc_proto, package=None, file_desc=None,
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Args:
desc_proto: The descriptor_pb2.DescriptorProto protobuf message.
package: The package the proto shoul... | python | def _ConvertMessageDescriptor(self, desc_proto, package=None, file_desc=None,
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._SetAllFieldTypes | def _SetAllFieldTypes(self, package, desc_proto, scope):
"""Sets all the descriptor's fields's types.
This method also sets the containing types on any extensions.
Args:
package: The current package of desc_proto.
desc_proto: The message descriptor to update.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._SetFieldType | def _SetFieldType(self, field_proto, field_desc, package, scope):
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field_proto: Data about the field in proto format.
field_desc: The descriptor to modiy.
package: The package the field's container is in.
scope: Enclos... | python | def _SetFieldType(self, field_proto, field_desc, package, scope):
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field_proto: Data about the field in proto format.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._MakeEnumValueDescriptor | def _MakeEnumValueDescriptor(self, value_proto, index):
"""Creates a enum value descriptor object from a enum value proto.
Args:
value_proto: The proto describing the enum value.
index: The index of the enum value.
Returns:
An initialized EnumValueDescriptor object.
"""
return d... | python | def _MakeEnumValueDescriptor(self, value_proto, index):
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Args:
value_proto: The proto describing the enum value.
index: The index of the enum value.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._MakeServiceDescriptor | def _MakeServiceDescriptor(self, service_proto, service_index, scope,
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service_proto: The descriptor_pb2.ServiceDescriptorProto protobuf message.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._MakeMethodDescriptor | def _MakeMethodDescriptor(self, method_proto, service_name, package, scope,
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method_proto: The proto describing the method.
service_name: The name of the containing service.
package: Optional... | python | def _MakeMethodDescriptor(self, method_proto, service_name, package, scope,
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method_proto: The proto describing the method.
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Args:
descriptors: The messages to extract descriptors from.
Yields:
A two element tuple of the type name and descriptor object.
"""
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A two element tuple of the type name and descriptor object.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._GetDeps | def _GetDeps(self, dependencies):
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Args:
dependencies: The names of the files being depended on.
Yields:
Each direct and indirect dependency.
"""
for dependency in dependencies:
dep_desc = self.FindFileByName(dependency)
yi... | python | def _GetDeps(self, dependencies):
"""Recursively finds dependencies for file protos.
Args:
dependencies: The names of the files being depended on.
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Each direct and indirect dependency.
"""
for dependency in dependencies:
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/descriptor_pool.py | DescriptorPool._GetTypeFromScope | def _GetTypeFromScope(self, package, type_name, scope):
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Args:
package: The package the proto should be located in.
type_name: The name of the type to be found in the scope.
scope: Dict mapping short and full symbols to message and enum types.
... | python | def _GetTypeFromScope(self, package, type_name, scope):
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package: The package the proto should be located in.
type_name: The name of the type to be found in the scope.
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apple/turicreate | deps/src/boost_1_68_0/tools/build/src/util/sequence.py | max_element | def max_element (elements, ordered = None):
""" Returns the maximum number in 'elements'. Uses 'ordered' for comparisons,
or '<' is none is provided.
"""
assert is_iterable(elements)
assert callable(ordered) or ordered is None
if not ordered: ordered = operator.lt
max = elements [0]
... | python | def max_element (elements, ordered = None):
""" Returns the maximum number in 'elements'. Uses 'ordered' for comparisons,
or '<' is none is provided.
"""
assert is_iterable(elements)
assert callable(ordered) or ordered is None
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apple/turicreate | deps/src/boost_1_68_0/tools/build/src/util/sequence.py | select_highest_ranked | def select_highest_ranked (elements, ranks):
""" Returns all of 'elements' for which corresponding element in parallel
list 'rank' is equal to the maximum value in 'rank'.
"""
assert is_iterable(elements)
assert is_iterable(ranks)
if not elements:
return []
max_rank = max_elemen... | python | def select_highest_ranked (elements, ranks):
""" Returns all of 'elements' for which corresponding element in parallel
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/message.py | Message.CopyFrom | def CopyFrom(self, other_msg):
"""Copies the content of the specified message into the current message.
The method clears the current message and then merges the specified
message using MergeFrom.
Args:
other_msg: Message to copy into the current one.
"""
if self is other_msg:
retu... | python | def CopyFrom(self, other_msg):
"""Copies the content of the specified message into the current message.
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Args:
other_msg: Message to copy into the current one.
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apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/xgboost/_tree_ensemble.py | recurse_json | def recurse_json(mlkit_tree, xgb_tree_json, tree_id, node_id, feature_map,
force_32bit_float):
"""Traverse through the tree and append to the tree spec.
"""
relative_hit_rate = None
try:
relative_hit_rate = xgb_tree_json['cover']
except KeyError:
pass
# Fill node attri... | python | def recurse_json(mlkit_tree, xgb_tree_json, tree_id, node_id, feature_map,
force_32bit_float):
"""Traverse through the tree and append to the tree spec.
"""
relative_hit_rate = None
try:
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apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/xgboost/_tree_ensemble.py | convert_tree_ensemble | def convert_tree_ensemble(model, feature_names, target, force_32bit_float):
"""Convert a generic tree model to the protobuf spec.
This currently supports:
* Decision tree regression
Parameters
----------
model: str | Booster
Path on disk where the XGboost JSON representation of the m... | python | def convert_tree_ensemble(model, feature_names, target, force_32bit_float):
"""Convert a generic tree model to the protobuf spec.
This currently supports:
* Decision tree regression
Parameters
----------
model: str | Booster
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apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_one_hot_encoder.py | convert | def convert(model, input_features, output_features):
"""Convert a one-hot-encoder model to the protobuf spec.
Parameters
----------
model: OneHotEncoder
A trained one-hot encoder model.
input_features: str, optional
Name of the input column.
output_features: str, optional
... | python | def convert(model, input_features, output_features):
"""Convert a one-hot-encoder model to the protobuf spec.
Parameters
----------
model: OneHotEncoder
A trained one-hot encoder model.
input_features: str, optional
Name of the input column.
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apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_one_hot_encoder.py | update_dimension | def update_dimension(model, input_dimension):
"""
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"""
if not(_HAS_SKLEARN):
raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')
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"""
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"""
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_reshape | def convert_reshape(net, node, module, builder):
"""Converts a reshape layer from mxnet to coreml.
This doesn't currently handle the deprecated parameters for the reshape layer.
Parameters
----------
net: network
An mxnet network object.
node: layer
Node to convert.
modul... | python | def convert_reshape(net, node, module, builder):
"""Converts a reshape layer from mxnet to coreml.
This doesn't currently handle the deprecated parameters for the reshape layer.
Parameters
----------
net: network
An mxnet network object.
node: layer
Node to convert.
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_elementwise_mul_scalar | def convert_elementwise_mul_scalar(net, node, module, builder):
"""Convert a scalar multiplication from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetwo... | python | def convert_elementwise_mul_scalar(net, node, module, builder):
"""Convert a scalar multiplication from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_dense | def convert_dense(net, node, module, builder):
"""Convert a dense layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
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"""Convert a dense layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_padding | def convert_padding(net, node, module, builder):
"""Convert a padding layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
A neu... | python | def convert_padding(net, node, module, builder):
"""Convert a padding layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_upsample | def convert_upsample(net, node, module, builder):
"""Convert a UpSampling layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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"""Convert a UpSampling layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_softmax | def convert_softmax(net, node, module, builder):
"""Convert a softmax layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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"""Convert a softmax layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
module: module
An module for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_custom | def convert_custom(net, node, module, builder):
"""Convert highly specific ops"""
input_name, output_name = _get_input_output_name(net, node)
name = node['name']
param = _get_attr(node)
if param['op_type'] == 'special-darknet-maxpool':
_add_pooling.add_pooling_with_padding_types(
... | python | def convert_custom(net, node, module, builder):
"""Convert highly specific ops"""
input_name, output_name = _get_input_output_name(net, node)
name = node['name']
param = _get_attr(node)
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_embedding | def convert_embedding(net, node, model, builder):
"""Convert an embedding layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
A ne... | python | def convert_embedding(net, node, model, builder):
"""Convert an embedding layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_scalar_add | def convert_scalar_add(net, node, model, builder):
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Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_scalar_multiply | def convert_scalar_multiply(net, node, model, builder):
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Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
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builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/toolkits/_mxnet/_mxnet_to_coreml/_layers.py | convert_instancenorm | def convert_instancenorm(net, node, model, builder):
"""Convert an instance norm layer from mxnet to coreml.
Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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Parameters
----------
net: network
A mxnet network object.
node: layer
Node to convert.
model: model
An model for MXNet
builder: NeuralNetworkBuilder
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _get_aws_credentials | def _get_aws_credentials():
"""
Returns the values stored in the AWS credential environment variables.
Returns the value stored in the AWS_ACCESS_KEY_ID environment variable and
the value stored in the AWS_SECRET_ACCESS_KEY environment variable.
Returns
-------
out : tuple [string]
... | python | def _get_aws_credentials():
"""
Returns the values stored in the AWS credential environment variables.
Returns the value stored in the AWS_ACCESS_KEY_ID environment variable and
the value stored in the AWS_SECRET_ACCESS_KEY environment variable.
Returns
-------
out : tuple [string]
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _try_inject_s3_credentials | def _try_inject_s3_credentials(url):
"""
Inject aws credentials into s3 url as s3://[aws_id]:[aws_key]:[bucket/][objectkey]
If s3 url already contains secret key/id pairs, just return as is.
"""
assert url.startswith('s3://')
path = url[5:]
# Check if the path already contains credentials
... | python | def _try_inject_s3_credentials(url):
"""
Inject aws credentials into s3 url as s3://[aws_id]:[aws_key]:[bucket/][objectkey]
If s3 url already contains secret key/id pairs, just return as is.
"""
assert url.startswith('s3://')
path = url[5:]
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | is_directory_archive | def is_directory_archive(path):
"""
Utility function that returns True if the path provided is a directory that has an SFrame or SGraph in it.
SFrames are written to disk as a directory archive, this function identifies if a given directory is an archive
for an SFrame.
Parameters
----------
... | python | def is_directory_archive(path):
"""
Utility function that returns True if the path provided is a directory that has an SFrame or SGraph in it.
SFrames are written to disk as a directory archive, this function identifies if a given directory is an archive
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | get_archive_type | def get_archive_type(path):
"""
Returns the contents type for the provided archive path.
Parameters
----------
path : string
Directory to evaluate.
Returns
-------
Returns a string of: sframe, sgraph, raises TypeError for anything else
"""
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"""
Returns the contents type for the provided archive path.
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path : string
Directory to evaluate.
Returns
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Returns a string of: sframe, sgraph, raises TypeError for anything else
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | get_turicreate_object_type | def get_turicreate_object_type(url):
'''
Given url where a Turi Create object is persisted, return the Turi
Create object type: 'model', 'graph', 'sframe', or 'sarray'
'''
from .._connect import main as _glconnect
ret = _glconnect.get_unity().get_turicreate_object_type(_make_internal_url(url))
... | python | def get_turicreate_object_type(url):
'''
Given url where a Turi Create object is persisted, return the Turi
Create object type: 'model', 'graph', 'sframe', or 'sarray'
'''
from .._connect import main as _glconnect
ret = _glconnect.get_unity().get_turicreate_object_type(_make_internal_url(url))
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _get_temp_file_location | def _get_temp_file_location():
'''
Returns user specified temporary file location.
The temporary location is specified through:
>>> turicreate.config.set_runtime_config('TURI_CACHE_FILE_LOCATIONS', ...)
'''
from .._connect import main as _glconnect
unity = _glconnect.get_unity()
cache_... | python | def _get_temp_file_location():
'''
Returns user specified temporary file location.
The temporary location is specified through:
>>> turicreate.config.set_runtime_config('TURI_CACHE_FILE_LOCATIONS', ...)
'''
from .._connect import main as _glconnect
unity = _glconnect.get_unity()
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _make_temp_directory | def _make_temp_directory(prefix):
'''
Generate a temporary directory that would not live beyond the lifetime of
unity_server.
Caller is expected to clean up the temp file as soon as the directory is no
longer needed. But the directory will be cleaned as unity_server restarts
'''
temp_dir = ... | python | def _make_temp_directory(prefix):
'''
Generate a temporary directory that would not live beyond the lifetime of
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Caller is expected to clean up the temp file as soon as the directory is no
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _make_temp_filename | def _make_temp_filename(prefix):
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... | python | def _make_temp_filename(prefix):
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apple/turicreate | src/unity/python/turicreate/util/__init__.py | _get_cuda_gpus | def _get_cuda_gpus():
"""
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- index (integer, device index of the GPU)
- name (str, GPU name)
- memory_free (float, free memory in MiB)
- memory_total (float, total memory in MiB)
"""
import subprocess
try:
output = subpr... | python | def _get_cuda_gpus():
"""
Returns a list of dictionaries, with the following keys:
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- name (str, GPU name)
- memory_free (float, free memory in MiB)
- memory_total (float, total memory in MiB)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/_parameterized.py | _ParameterDecorator | def _ParameterDecorator(naming_type, testcases):
"""Implementation of the parameterization decorators.
Args:
naming_type: The naming type.
testcases: Testcase parameters.
Returns:
A function for modifying the decorated object.
"""
def _Apply(obj):
if isinstance(obj, type):
_ModifyClass... | python | def _ParameterDecorator(naming_type, testcases):
"""Implementation of the parameterization decorators.
Args:
naming_type: The naming type.
testcases: Testcase parameters.
Returns:
A function for modifying the decorated object.
"""
def _Apply(obj):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | check_header_comment | def check_header_comment(filename):
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# Check input file.
name = os.path.basename( filename )
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sourcefile = open( filename, "rU" )
content = sourcefile.read()
sourcefile.close()
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# Check input file.
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | check_input_files_for_variadic_seq | def check_input_files_for_variadic_seq(headerDir, sourceDir):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | check_input_files_for_numbered_seq | def check_input_files_for_numbered_seq(sourceDir, suffix, containers):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | fix_header_comment | def fix_header_comment(filename, timestamp):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | fix_input_files_for_variadic_seq | def fix_input_files_for_variadic_seq(headerDir, sourceDir, timestamp):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | fix_input_files_for_numbered_seq | def fix_input_files_for_numbered_seq(sourceDir, suffix, timestamp, containers):
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apple/turicreate | deps/src/boost_1_68_0/libs/mpl/preprocessed/fix_boost_mpl_preprocess.py | to_existing_absolute_path | def to_existing_absolute_path(string):
"""Converts a path into its absolute path and verifies that it exists or throws an exception."""
value = os.path.abspath(string)
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apple/turicreate | src/unity/python/turicreate/toolkits/image_similarity/image_similarity.py | create | def create(dataset, label = None, feature = None, model = 'resnet-50', verbose = True,
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"""
Create a :class:`ImageSimilarityModel` model.
Parameters
----------
dataset : SFrame
Input data. The column named by the 'feature' parameter will be
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batch_size = 64):
"""
Create a :class:`ImageSimilarityModel` model.
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dataset : SFrame
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apple/turicreate | src/unity/python/turicreate/toolkits/image_similarity/image_similarity.py | ImageSimilarityModel._load_version | def _load_version(cls, state, version):
"""
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instance.
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----------
unpickler : GLUnpickler
A GLUnpickler file handler.
version : int
Version number maintained by the class wri... | python | def _load_version(cls, state, version):
"""
A function to load a previously saved ImageClassifier
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A GLUnpickler file handler.
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apple/turicreate | src/unity/python/turicreate/toolkits/image_similarity/image_similarity.py | ImageSimilarityModel.query | def query(self, dataset, label=None, k=5, radius=None, verbose=True, batch_size=64):
"""
For each image, retrieve the nearest neighbors from the model's stored
data. In general, the query dataset does not need to be the same as
the reference data stored in the model.
Parameters
... | python | def query(self, dataset, label=None, k=5, radius=None, verbose=True, batch_size=64):
"""
For each image, retrieve the nearest neighbors from the model's stored
data. In general, the query dataset does not need to be the same as
the reference data stored in the model.
Parameters
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apple/turicreate | src/unity/python/turicreate/toolkits/image_similarity/image_similarity.py | ImageSimilarityModel.similarity_graph | def similarity_graph(self, k=5, radius=None, include_self_edges=False,
output_type='SGraph', verbose=True):
"""
Construct the similarity graph on the reference dataset, which is
already stored in the model to find the top `k` similar images for each
image in your... | python | def similarity_graph(self, k=5, radius=None, include_self_edges=False,
output_type='SGraph', verbose=True):
"""
Construct the similarity graph on the reference dataset, which is
already stored in the model to find the top `k` similar images for each
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apple/turicreate | src/unity/python/turicreate/toolkits/image_similarity/image_similarity.py | ImageSimilarityModel.export_coreml | def export_coreml(self, filename):
"""
Save the model in Core ML format.
The exported model calculates the distance between a query image and
each row of the model's stored data. It does not sort and retrieve
the k nearest neighbors of the query image.
See Also
-... | python | def export_coreml(self, filename):
"""
Save the model in Core ML format.
The exported model calculates the distance between a query image and
each row of the model's stored data. It does not sort and retrieve
the k nearest neighbors of the query image.
See Also
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apple/turicreate | src/unity/python/turicreate/meta/asttools/visitors/graph_visitor.py | make_graph | def make_graph(node, call_deps=False):
'''
Create a dependency graph from an ast node.
:param node: ast node.
:param call_deps: if true, then the graph will create a cyclic dependence for all
function calls. (i.e for `a.b(c)` a depends on b and b depends on a)
... | python | def make_graph(node, call_deps=False):
'''
Create a dependency graph from an ast node.
:param node: ast node.
:param call_deps: if true, then the graph will create a cyclic dependence for all
function calls. (i.e for `a.b(c)` a depends on b and b depends on a)
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apple/turicreate | src/unity/python/turicreate/meta/bytecodetools/pyc_file.py | extract | def extract(binary):
'''
Extract a code object from a binary pyc file.
:param binary: a sequence of bytes from a pyc file.
'''
if len(binary) <= 8:
raise Exception("Binary pyc must be greater than 8 bytes (got %i)" % len(binary))
magic = binary[:4]
MAGIC = get_magic()
... | python | def extract(binary):
'''
Extract a code object from a binary pyc file.
:param binary: a sequence of bytes from a pyc file.
'''
if len(binary) <= 8:
raise Exception("Binary pyc must be greater than 8 bytes (got %i)" % len(binary))
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _VarintSize | def _VarintSize(value):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _SignedVarintSize | def _SignedVarintSize(value):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _SimpleSizer | def _SimpleSizer(compute_value_size):
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def SpecificSizer(field_number, is_repeated, is_packed):
tag_size = _TagSize(field_number)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _FixedSizer | def _FixedSizer(value_size):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | BytesSizer | def BytesSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a bytes field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
local_len = len
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in va... | python | def BytesSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a bytes field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
local_len = len
assert not is_packed
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def RepeatedFieldSize(value):
result = tag_size * len(value)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | GroupSizer | def GroupSizer(field_number, is_repeated, is_packed):
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tag_size = _TagSize(field_number) * 2
assert not is_packed
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def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
result += element.ByteSize()
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tag_size = _TagSize(field_number) * 2
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MessageSizer | def MessageSizer(field_number, is_repeated, is_packed):
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tag_size = _TagSize(field_number)
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"""Returns a sizer for a message field."""
tag_size = _TagSize(field_number)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MessageSetItemSizer | def MessageSetItemSizer(field_number):
"""Returns a sizer for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
"""
static_size = (_TagSize(1) * 2 + _... | python | def MessageSetItemSizer(field_number):
"""Returns a sizer for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MapSizer | def MapSizer(field_descriptor, is_message_map):
"""Returns a sizer for a map field."""
# Can't look at field_descriptor.message_type._concrete_class because it may
# not have been initialized yet.
message_type = field_descriptor.message_type
message_sizer = MessageSizer(field_descriptor.number, False, False)... | python | def MapSizer(field_descriptor, is_message_map):
"""Returns a sizer for a map field."""
# Can't look at field_descriptor.message_type._concrete_class because it may
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message_type = field_descriptor.message_type
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _VarintEncoder | def _VarintEncoder():
"""Return an encoder for a basic varint value (does not include tag)."""
def EncodeVarint(write, value):
bits = value & 0x7f
value >>= 7
while value:
write(six.int2byte(0x80|bits))
bits = value & 0x7f
value >>= 7
return write(six.int2byte(bits))
return Enc... | python | def _VarintEncoder():
"""Return an encoder for a basic varint value (does not include tag)."""
def EncodeVarint(write, value):
bits = value & 0x7f
value >>= 7
while value:
write(six.int2byte(0x80|bits))
bits = value & 0x7f
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _SignedVarintEncoder | def _SignedVarintEncoder():
"""Return an encoder for a basic signed varint value (does not include
tag)."""
def EncodeSignedVarint(write, value):
if value < 0:
value += (1 << 64)
bits = value & 0x7f
value >>= 7
while value:
write(six.int2byte(0x80|bits))
bits = value & 0x7f
... | python | def _SignedVarintEncoder():
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _VarintBytes | def _VarintBytes(value):
"""Encode the given integer as a varint and return the bytes. This is only
called at startup time so it doesn't need to be fast."""
pieces = []
_EncodeVarint(pieces.append, value)
return b"".join(pieces) | python | def _VarintBytes(value):
"""Encode the given integer as a varint and return the bytes. This is only
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pieces = []
_EncodeVarint(pieces.append, value)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _SimpleEncoder | def _SimpleEncoder(wire_type, encode_value, compute_value_size):
"""Return a constructor for an encoder for fields of a particular type.
Args:
wire_type: The field's wire type, for encoding tags.
encode_value: A function which encodes an individual value, e.g.
_EncodeVarint().
compute_v... | python | def _SimpleEncoder(wire_type, encode_value, compute_value_size):
"""Return a constructor for an encoder for fields of a particular type.
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wire_type: The field's wire type, for encoding tags.
encode_value: A function which encodes an individual value, e.g.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _StructPackEncoder | def _StructPackEncoder(wire_type, format):
"""Return a constructor for an encoder for a fixed-width field.
Args:
wire_type: The field's wire type, for encoding tags.
format: The format string to pass to struct.pack().
"""
value_size = struct.calcsize(format)
def SpecificEncoder(field_number, ... | python | def _StructPackEncoder(wire_type, format):
"""Return a constructor for an encoder for a fixed-width field.
Args:
wire_type: The field's wire type, for encoding tags.
format: The format string to pass to struct.pack().
"""
value_size = struct.calcsize(format)
def SpecificEncoder(field_number, ... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | _FloatingPointEncoder | def _FloatingPointEncoder(wire_type, format):
"""Return a constructor for an encoder for float fields.
This is like StructPackEncoder, but catches errors that may be due to
passing non-finite floating-point values to struct.pack, and makes a
second attempt to encode those values.
Args:
wire_type: The... | python | def _FloatingPointEncoder(wire_type, format):
"""Return a constructor for an encoder for float fields.
This is like StructPackEncoder, but catches errors that may be due to
passing non-finite floating-point values to struct.pack, and makes a
second attempt to encode those values.
Args:
wire_type: The... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | BoolEncoder | def BoolEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a boolean field."""
false_byte = b'\x00'
true_byte = b'\x01'
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value... | python | def BoolEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a boolean field."""
false_byte = b'\x00'
true_byte = b'\x01'
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | StringEncoder | def StringEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a string field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
local_len = len
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value):
... | python | def StringEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a string field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
local_len = len
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value):
... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | GroupEncoder | def GroupEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a group field."""
start_tag = TagBytes(field_number, wire_format.WIRETYPE_START_GROUP)
end_tag = TagBytes(field_number, wire_format.WIRETYPE_END_GROUP)
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, val... | python | def GroupEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a group field."""
start_tag = TagBytes(field_number, wire_format.WIRETYPE_START_GROUP)
end_tag = TagBytes(field_number, wire_format.WIRETYPE_END_GROUP)
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, val... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MessageEncoder | def MessageEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a message field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value):
for element in v... | python | def MessageEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a message field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value):
for element in v... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MessageSetItemEncoder | def MessageSetItemEncoder(field_number):
"""Encoder for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
"""
start_bytes = b"".join([
TagBytes(... | python | def MessageSetItemEncoder(field_number):
"""Encoder for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
"""
start_bytes = b"".join([
TagBytes(... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/encoder.py | MapEncoder | def MapEncoder(field_descriptor):
"""Encoder for extensions of MessageSet.
Maps always have a wire format like this:
message MapEntry {
key_type key = 1;
value_type value = 2;
}
repeated MapEntry map = N;
"""
# Can't look at field_descriptor.message_type._concrete_class because it may
... | python | def MapEncoder(field_descriptor):
"""Encoder for extensions of MessageSet.
Maps always have a wire format like this:
message MapEntry {
key_type key = 1;
value_type value = 2;
}
repeated MapEntry map = N;
"""
# Can't look at field_descriptor.message_type._concrete_class because it may
... | [
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