module `onnx_conv.operator_converters.parse_lightgbm`#

Short summary#

module mlprodict.onnx_conv.operator_converters.parse_lightgbm

Parsers for LightGBM booster.

Classes#

class	truncated documentation
`MockWrappedLightGbmBoosterClassifier`	Mocked lightgbm.
`WrappedLightGbmBooster`	A booster can be a classifier, a regressor. Trick to wrap it in a minimal function.
`WrappedLightGbmBoosterClassifier`	Trick to wrap a LGBMClassifier into a class.

Functions#

function	truncated documentation
`converter_lightgbm_concat`	Converter for operator LightGBMConcat.
`lightgbm_parser`	Agnostic parser for LightGBM Booster.
`shape_calculator_lightgbm_concat`	Shape calculator for operator LightGBMConcat.

Static Methods#

staticmethod	truncated documentation
`_generate_classes`

Methods#

method	truncated documentation
`__init__`
`__init__`
`__init__`
`attr`	Returns default values for common attributes.
`dump_model`	mock dump_model method
`feature_name`	Returns binary features names.
`get_objective`	Returns the objective.

Documentation#

Parsers for LightGBM booster.

source on GitHub

class mlprodict.onnx_conv.operator_converters.parse_lightgbm.MockWrappedLightGbmBoosterClassifier(tree)#

Bases: WrappedLightGbmBoosterClassifier

Mocked lightgbm.

source on GitHub

__init__(tree)#

attr(key)#: Returns default values for common attributes.

dump_model()#: mock dump_model method

feature_name()#: Returns binary features names.

class mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBooster(booster)#

Bases: object

A booster can be a classifier, a regressor. Trick to wrap it in a minimal function.

source on GitHub

__init__(booster)#

static _generate_classes(booster)#

get_objective()#: Returns the objective.

class mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBoosterClassifier(wrapped)#

Bases: ClassifierMixin

Trick to wrap a LGBMClassifier into a class.

source on GitHub

__init__(wrapped)#

mlprodict.onnx_conv.operator_converters.parse_lightgbm.converter_lightgbm_concat(scope, operator, container)#

Converter for operator LightGBMConcat.

source on GitHub

mlprodict.onnx_conv.operator_converters.parse_lightgbm.lightgbm_parser(scope, model, inputs, custom_parsers=None)#

Agnostic parser for LightGBM Booster.

source on GitHub

mlprodict.onnx_conv.operator_converters.parse_lightgbm.shape_calculator_lightgbm_concat(operator)#

Shape calculator for operator LightGBMConcat.

source on GitHub

module onnx_conv.operator_converters.parse_lightgbm#

Short summary#

Classes#

Functions#

Static Methods#

Methods#

Documentation#

module `onnx_conv.operator_converters.parse_lightgbm`#