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Adds a FieldDescriptor describing an extension to the pool.
Args:
extension: A FieldDescriptor.
Raises:
AssertionError: when another extension with the same number extends the
same message.
TypeError: when the specified extension is not a
descriptor.FieldDescriptor.
def AddE... |
Adds a FileDescriptor to the pool, non-recursively.
If the FileDescriptor contains messages or enums, the caller must explicitly
register them.
Args:
file_desc: A FileDescriptor.
def AddFileDescriptor(self, file_desc):
"""Adds a FileDescriptor to the pool, non-recursively.
If the FileDescr... |
Adds a FileDescriptor to the pool, non-recursively.
If the FileDescriptor contains messages or enums, the caller must explicitly
register them.
Args:
file_desc: A FileDescriptor.
def _AddFileDescriptor(self, file_desc):
"""Adds a FileDescriptor to the pool, non-recursively.
If the FileDesc... |
Gets a FileDescriptor by file name.
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.
def FindFileByName(self, file_name):
"""Gets a FileDescriptor by file name.
... |
Gets the FileDescriptor for the file containing the specified symbol.
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 pool.
def FindFileContainingSymbol(self, symbol):... |
Loads the named descriptor from the pool.
Args:
full_name: The full name of the descriptor to load.
Returns:
The descriptor for the named type.
Raises:
KeyError: if the message cannot be found in the pool.
def FindMessageTypeByName(self, full_name):
"""Loads the named descriptor fr... |
Loads the named enum descriptor from the pool.
Args:
full_name: The full name of the enum descriptor to load.
Returns:
The enum descriptor for the named type.
Raises:
KeyError: if the enum cannot be found in the pool.
def FindEnumTypeByName(self, full_name):
"""Loads the named enum... |
Loads the named field descriptor from the pool.
Args:
full_name: The full name of the field descriptor to load.
Returns:
The field descriptor for the named field.
Raises:
KeyError: if the field cannot be found in the pool.
def FindFieldByName(self, full_name):
"""Loads the named fi... |
Loads the named service descriptor from the pool.
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.
def FindServiceByName(self, full_name):
"""Loads ... |
Finds the file in descriptor DB containing the specified symbol.
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 descriptor database.
def _FindFileContainingSymbolInDb... |
Creates a FileDescriptor from a proto or returns a cached copy.
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.
Returns:
A FileDescriptor matching the passed in proto.
... |
Adds the proto to the pool in the specified package.
Args:
desc_proto: The descriptor_pb2.DescriptorProto protobuf message.
package: The package the proto should be located in.
file_desc: The file containing this message.
scope: Dict mapping short and full symbols to message and enum types.... |
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.
scope: Enclosing scope of available types.
def _SetAllFieldTypes(self, package, desc_proto,... |
Sets the field's type, cpp_type, message_type and enum_type.
Args:
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: Enclosing scope of available types.
def _SetFieldType(self, field_proto, field... |
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.
def _MakeEnumValueDescriptor(self, value_proto, index):
"""Creates a enum value... |
Make a protobuf ServiceDescriptor given a ServiceDescriptorProto.
Args:
service_proto: The descriptor_pb2.ServiceDescriptorProto protobuf message.
service_index: The index of the service in the File.
scope: Dict mapping short and full symbols to message and enum types.
package: Optional pac... |
Creates a method descriptor from a MethodDescriptorProto.
Args:
method_proto: The proto describing the method.
service_name: The name of the containing service.
package: Optional package name to look up for types.
scope: Scope containing available types.
index: Index of the method in ... |
Pulls out all the symbols from descriptor protos.
Args:
descriptors: The messages to extract descriptors from.
Yields:
A two element tuple of the type name and descriptor object.
def _ExtractSymbols(self, descriptors):
"""Pulls out all the symbols from descriptor protos.
Args:
descr... |
Recursively finds dependencies for file protos.
Args:
dependencies: The names of the files being depended on.
Yields:
Each direct and indirect dependency.
def _GetDeps(self, dependencies):
"""Recursively finds dependencies for file protos.
Args:
dependencies: The names of the files... |
Finds a given type name in the current scope.
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.
Returns:
The descriptor for the requested type.
def ... |
Returns the maximum number in 'elements'. Uses 'ordered' for comparisons,
or '<' is none is provided.
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)
as... |
Returns all of 'elements' for which corresponding element in parallel
list 'rank' is equal to the maximum value in 'rank'.
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'.
... |
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.
def CopyFrom(self, other_msg):
"""Copies the content of the specified message... |
Traverse through the tree and append to the tree spec.
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']
... |
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 model is or
a handle to the XGboost model.
feature_names : list of stri... |
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
Name of the output column.
Returns
-------
... |
Given a model that takes an array of dimension input_dimension, returns
the output dimension.
def update_dimension(model, input_dimension):
"""
Given a model that takes an array of dimension input_dimension, returns
the output dimension.
"""
if not(_HAS_SKLEARN):
raise RuntimeError('sci... |
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.
module: module
A module for MXNet
builder: Neura... |
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: NeuralNetworkBuilder
A neural network builder object.
def convert_element... |
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
A neural network builder object.
def convert_dense(net, node, ... |
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 neural network builder object.
def convert_padding(net, no... |
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
A neural network builder object.
def convert_upsample(net... |
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
A neural network builder object.
def convert_softmax(net, no... |
Convert highly specific ops
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_wi... |
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 neural network builder object.
def convert_embedding(net, ... |
Convert a scalar add 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 neural network builder object.
def convert_scalar_add(net,... |
Convert a scalar multiply 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 neural network builder object.
def convert_scalar_mul... |
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
A neural network builder object.
def convert_instancenor... |
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]
The first string of the tuple is the val... |
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.
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 ... |
Process user input url string with proper normalization
For all urls:
Expands ~ to $HOME
For S3 urls:
Returns the s3 URL with credentials filled in using turicreate.aws.get_aws_credential().
For example: "s3://mybucket/foo" -> "s3://$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY:mybucket/foo".
... |
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
----------
path : string
Directory to evaluat... |
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
def get_archive_type(path):
"""
Returns the contents type for the provide... |
Create an SFrame containing the crossproduct of all provided options.
Parameters
----------
d : dict
Each key is the name of an option, and each value is a list
of the possible values for that option.
Returns
-------
out : SFrame
There will be a column for each key in t... |
Given url where a Turi Create object is persisted, return the Turi
Create object type: 'model', 'graph', 'sframe', or 'sarray'
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'
'''
... |
Assert the two SFrames are equal.
The default behavior of this function uses the strictest possible
definition of equality, where all columns must be in the same order, with
the same names and have the same data in the same order. Each of these
stipulations can be relaxed individually and in concert w... |
Returns user specified temporary file location.
The temporary location is specified through:
>>> turicreate.config.set_runtime_config('TURI_CACHE_FILE_LOCATIONS', ...)
def _get_temp_file_location():
'''
Returns user specified temporary file location.
The temporary location is specified through:
... |
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
def _make_temp_directory(prefix):
'''
Generate a temporary d... |
Generate a temporary file that would not live beyond the lifetime of
unity_server.
Caller is expected to clean up the temp file as soon as the file is no
longer needed. But temp files created using this method will be cleaned up
when unity_server restarts
def _make_temp_filename(prefix):
'''
G... |
If obj can be serialized directly into memory (via cloudpickle) this
will return the serialized bytes.
Otherwise, gl_pickle is attempted and it will then
generates a temporary directory serializes an object into it, returning
the directory name. This directory will not have lifespan grea... |
Returns a list of dictionaries, with the following keys:
- 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)
def _get_cuda_gpus():
"""
Returns a list of dictionaries, with the following keys:
... |
Implementation of the parameterization decorators.
Args:
naming_type: The naming type.
testcases: Testcase parameters.
Returns:
A function for modifying the decorated object.
def _ParameterDecorator(naming_type, testcases):
"""Implementation of the parameterization decorators.
Args:
naming_t... |
Checks if the header-comment of the given file needs fixing.
def check_header_comment(filename):
"""Checks if the header-comment of the given file needs fixing."""
# Check input file.
name = os.path.basename( filename )
# Read content of input file.
sourcefile = open( filename, "rU" )
content =... |
Checks if files, used as input when pre-processing MPL-containers in their variadic form, need fixing.
def check_input_files_for_variadic_seq(headerDir, sourceDir):
"""Checks if files, used as input when pre-processing MPL-containers in their variadic form, need fixing."""
# Check input files in include/source... |
Check if files, used as input when pre-processing MPL-containers in their numbered form, need fixing.
def check_input_files_for_numbered_seq(sourceDir, suffix, containers):
"""Check if files, used as input when pre-processing MPL-containers in their numbered form, need fixing."""
# Check input files for each M... |
Checks if source- and header-files, used as input when pre-processing MPL-containers, need fixing.
def check_input_files(headerDir, sourceDir, containers=['vector', 'list', 'set', 'map'],
seqType='both', verbose=False):
"""Checks if source- and header-files, used as input when pre-processing ... |
Fixes the header-comment of the given file.
def fix_header_comment(filename, timestamp):
"""Fixes the header-comment of the given file."""
# Fix input file.
name = os.path.basename( filename )
for line in fileinput.input( filename, inplace=1, mode="rU" ):
# If header-comment already contains an... |
Fixes files used as input when pre-processing MPL-containers in their variadic form.
def fix_input_files_for_variadic_seq(headerDir, sourceDir, timestamp):
"""Fixes files used as input when pre-processing MPL-containers in their variadic form."""
# Fix files in include/source-directories.
files = glob.glo... |
Fixes files used as input when pre-processing MPL-containers in their numbered form.
def fix_input_files_for_numbered_seq(sourceDir, suffix, timestamp, containers):
"""Fixes files used as input when pre-processing MPL-containers in their numbered form."""
# Fix input files for each MPL-container type.
for ... |
Fixes source- and header-files used as input when pre-processing MPL-containers.
def fix_input_files(headerDir, sourceDir, containers=['vector', 'list', 'set', 'map'],
seqType='both', verbose=False):
"""Fixes source- and header-files used as input when pre-processing MPL-containers."""
# Th... |
Converts a path into its absolute path and verifies that it exists or throws an exception.
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)
if not os.path.exists( value ) or not os.path.is... |
The main function.
def main():
"""The main function."""
# Prepare and run cmdline-parser.
cmdlineParser = argparse.ArgumentParser(
description="Fixes the input files used for pre-processing of Boost.MPL headers.")
cmdlineParser.add_argument("-v", "--verbose", dest='verbose', action... |
Create a :class:`ImageSimilarityModel` model.
Parameters
----------
dataset : SFrame
Input data. The column named by the 'feature' parameter will be
extracted for modeling.
label : string
Name of the SFrame column with row labels to be used as uuid's to
identify the dat... |
A function to load a previously saved ImageClassifier
instance.
Parameters
----------
unpickler : GLUnpickler
A GLUnpickler file handler.
version : int
Version number maintained by the class writer.
def _load_version(cls, state, version):
"""
... |
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
----------
dataset : SFrame | SArray | turicreate.Image
Query data.
... |
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 input dataset.
This is conceptually very similar to running `query` with the reference
set, but this method is optimized for the purpos... |
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
--------
save
Examples
--------... |
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)
:returns: a tuple of (graph, undefined)
... |
Extract a code object from a binary pyc file.
:param binary: a sequence of bytes from a pyc file.
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 mus... |
Compute the size of a varint value.
def _VarintSize(value):
"""Compute the size of a varint value."""
if value <= 0x7f: return 1
if value <= 0x3fff: return 2
if value <= 0x1fffff: return 3
if value <= 0xfffffff: return 4
if value <= 0x7ffffffff: return 5
if value <= 0x3ffffffffff: return 6
if value <= ... |
Compute the size of a signed varint value.
def _SignedVarintSize(value):
"""Compute the size of a signed varint value."""
if value < 0: return 10
if value <= 0x7f: return 1
if value <= 0x3fff: return 2
if value <= 0x1fffff: return 3
if value <= 0xfffffff: return 4
if value <= 0x7ffffffff: return 5
if v... |
A sizer which uses the function compute_value_size to compute the size of
each value. Typically compute_value_size is _VarintSize.
def _SimpleSizer(compute_value_size):
"""A sizer which uses the function compute_value_size to compute the size of
each value. Typically compute_value_size is _VarintSize."""
de... |
Like _SimpleSizer except for a fixed-size field. The input is the size
of one value.
def _FixedSizer(value_size):
"""Like _SimpleSizer except for a fixed-size field. The input is the size
of one value."""
def SpecificSizer(field_number, is_repeated, is_packed):
tag_size = _TagSize(field_number)
if i... |
Returns a sizer for a bytes field.
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 ... |
Returns a sizer for a group field.
def GroupSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a group field."""
tag_size = _TagSize(field_number) * 2
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
... |
Returns a sizer for a message field.
def MessageSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a message field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)... |
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;
}
}
def MessageSetItemSizer(field_number):
"""Returns a sizer for extensions of Message... |
Returns a sizer for a map field.
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(fiel... |
Return an encoder for a basic varint value (does not include tag).
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
... |
Return an encoder for a basic signed varint value (does not include
tag).
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
whi... |
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.
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 = []
_EncodeVari... |
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_value_size: A function which computes the size of an individual
... |
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().
def _StructPackEncoder(wire_type, format):
"""Return a constructor for an encoder for a fixed-width field.
Args:
wire_t... |
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 field's wire type, for encoding tags.
format... |
Returns an encoder for a boolean field.
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 = _EncodeVari... |
Returns an encoder for a string field.
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 E... |
Returns an encoder for a group field.
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:... |
Returns an encoder for a message field.
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 EncodeRepeatedFi... |
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;
}
}
def MessageSetItemEncoder(field_number):
"""Encoder for extensions of MessageSet.
The me... |
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;
def MapEncoder(field_descriptor):
"""Encoder for extensions of MessageSet.
Maps always have a wire format like this:
... |
Convert a Caffe model to Core ML format.
Parameters
----------
model: str | (str, str) | (str, str, str) | (str, str, dict)
A trained Caffe neural network model which can be represented as:
- Path on disk to a trained Caffe model (.caffemodel)
- A tuple of two paths, where the fir... |
Takes the sklearn SVM model and returns the spec with the protobuf kernel for that model.
def _set_kernel(model, spec):
"""
Takes the sklearn SVM model and returns the spec with the protobuf kernel for that model.
"""
def gamma_value(model):
if(model.gamma == 'auto'):
# auto gamma v... |
Append a single row to an SFrame.
Throws a RuntimeError if one or more column's type is incompatible with
a type appended.
Parameters
----------
data : iterable
An iterable representation of a single row.
segment : int
The segment to write this... |
Append multiple rows to an SFrame.
Throws a RuntimeError if one or more column's type is incompatible with
a type appended.
Parameters
----------
data : iterable[iterable]
A collection of multiple iterables, each representing a single row.
segment : int
... |
If <location> is not set, sets it based on the project data.
def update_location(self, ps):
"""If <location> is not set, sets it based on the project data."""
loc = ps.get('location')
if not loc:
loc = os.path.join(self.project().get('location'), self.name())
ps = ps.ad... |
Given the list of source targets explicitly passed to 'stage', returns the
list of targets which must be staged.
def targets_to_stage(self, source_targets, ps):
"""Given the list of source targets explicitly passed to 'stage', returns the
list of targets which must be staged."""
result... |
Initialize the logging configuration for the turicreate package.
This does not affect the root logging config.
def init_logger():
"""
Initialize the logging configuration for the turicreate package.
This does not affect the root logging config.
"""
import logging as _logging
import loggin... |
Returns all the Turi Create configuration variables that can only
be set via environment variables.
- *TURI_FILEIO_WRITER_BUFFER_SIZE*: The file write buffer size.
- *TURI_FILEIO_READER_BUFFER_SIZE*: The file read buffer size.
- *OMP_NUM_THREADS*: The maximum number of threads to use for parallel proce... |
Sets the log level.
Lower log levels log more.
if level is 8, nothing is logged. If level is 0, everything is logged.
def set_log_level(level):
"""
Sets the log level.
Lower log levels log more.
if level is 8, nothing is logged. If level is 0, everything is logged.
"""
from .._connect i... |
Returns all the Turi Create configuration variables that can be set
at runtime. See :py:func:`turicreate.config.set_runtime_config()` to set these
values and for documentation on the effect of each variable.
Returns
-------
Returns a dictionary of {key:value,..}
See Also
--------
set_r... |
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