module `onnx_conv.sklconv.tree_converters`#

Short summary#

module mlprodict.onnx_conv.sklconv.tree_converters

Rewrites some of the converters implemented in sklearn-onnx.

function	truncated documentation
`_fix_tree_ensemble`
`_fix_tree_ensemble_node`	Fixes a node for old versionsof skl2onnx.
`_op_type_domain_classifier`	Defines op_type and op_domain based on dtype.
`_op_type_domain_regressor`	Defines op_type and op_domain based on dtype.
`new_convert_sklearn_decision_tree_classifier`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.
`new_convert_sklearn_decision_tree_regressor`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.
`new_convert_sklearn_gradient_boosting_classifier`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.
`new_convert_sklearn_gradient_boosting_regressor`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.
`new_convert_sklearn_random_forest_classifier`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.
`new_convert_sklearn_random_forest_regressor`	Rewrites the converters implemented in sklearn-onnx to support an operator supporting doubles.

Rewrites some of the converters implemented in sklearn-onnx.

mlprodict.onnx_conv.sklconv.tree_converters._fix_tree_ensemble(scope, container, opsetml, dtype)#

mlprodict.onnx_conv.sklconv.tree_converters._fix_tree_ensemble_node(scope, container, opsetml, node, dtype)#

Fixes a node for old versionsof skl2onnx.

mlprodict.onnx_conv.sklconv.tree_converters._op_type_domain_classifier(dtype, opsetml)#

Defines op_type and op_domain based on dtype.

mlprodict.onnx_conv.sklconv.tree_converters._op_type_domain_regressor(dtype, opsetml)#

Defines op_type and op_domain based on dtype.

mlprodict.onnx_conv.sklconv.tree_converters.new_convert_sklearn_decision_tree_classifier(scope, operator, container)#