module `onnx_conv.register`#

Short summary#

module mlprodict.onnx_conv.register

Shortcut to onnx_conv.

function	truncated documentation
`_custom_parser_xgboost`	Custom parser for XGBClassifier and LGBMClassifier.
`_register_converters_lightgbm`	This functions registers additional converters for lightgbm.
`_register_converters_mlinsights`	This functions registers additional converters for mlinsights.
`_register_converters_skl2onnx`	This functions registers additional converters for skl2onnx.
`_register_converters_xgboost`	This functions registers additional converters for xgboost.
`register_converters`	This functions registers additional converters to the list of converters sklearn-onnx declares.

Shortcut to onnx_conv.

mlprodict.onnx_conv.register._custom_parser_xgboost(scope, model, inputs, custom_parsers=None)#

Custom parser for XGBClassifier and LGBMClassifier.

mlprodict.onnx_conv.register._register_converters_lightgbm(exc=True)#

This functions registers additional converters for lightgbm.

Parameters:: exc – if True, raises an exception if a converter cannot registered (missing package for example)
Returns:: list of models supported by the new converters

mlprodict.onnx_conv.register._register_converters_mlinsights(exc=True)#

This functions registers additional converters for mlinsights.

Parameters:: exc – if True, raises an exception if a converter cannot registered (missing package for example)
Returns:: list of models supported by the new converters

mlprodict.onnx_conv.register._register_converters_skl2onnx(exc=True)#

This functions registers additional converters for skl2onnx.

Parameters:: exc – if True, raises an exception if a converter cannot registered (missing package for example)
Returns:: list of models supported by the new converters

mlprodict.onnx_conv.register._register_converters_xgboost(exc=True)#

This functions registers additional converters for xgboost.

Parameters:: exc – if True, raises an exception if a converter cannot registered (missing package for example)
Returns:: list of models supported by the new converters

mlprodict.onnx_conv.register.register_converters(exc=True)#

This functions registers additional converters to the list of converters sklearn-onnx declares.

Parameters:: exc – if True, raises an exception if a converter cannot registered (missing package for example)
Returns:: list of models supported by the new converters