module `onnx_conv.operator_converters.conv_xgboost`#

Short summary#

module mlprodict.onnx_conv.operator_converters.conv_xgboost

Modified converter from XGBoost.py.

class	truncated documentation
`XGBClassifierConverter`	converter for XGBClassifier
`XGBConverter`	common methods for converters
`XGBRegressorConverter`	converter class

function	truncated documentation
`convert_xgboost`	This converters reuses the code from XGBoost.py …

staticmethod	truncated documentation
`_add_node`
`_add_node`
`_add_node`
`_fill_node_attributes`
`_fill_node_attributes`
`_fill_node_attributes`
`_get_default_tree_attribute_pairs`
`_get_default_tree_attribute_pairs`
`_get_default_tree_attribute_pairs`
`_remap_nodeid`
`_remap_nodeid`
`_remap_nodeid`
`common_members`	common to regresssor and classifier
`common_members`	common to regresssor and classifier
`common_members`	common to regresssor and classifier
`convert`	convert method
`convert`	converter method
`fill_tree_attributes`	fills tree attributes
`fill_tree_attributes`	fills tree attributes
`fill_tree_attributes`	fills tree attributes
`get_xgb_params`	Retrieves parameters of a model.
`get_xgb_params`	Retrieves parameters of a model.
`get_xgb_params`	Retrieves parameters of a model.
`validate`
`validate`	validates the model
`validate`

Modified converter from XGBoost.py.

class mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBClassifierConverter#

converter for XGBClassifier

class mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter#

common methods for converters

static _add_node(attr_pairs, is_classifier, tree_id, tree_weight, node_id, feature_id, mode, value, true_child_id, false_child_id, weights, weight_id_bias, missing, hitrate)#

static _fill_node_attributes(treeid, tree_weight, jsnode, attr_pairs, is_classifier, remap)#

static common_members(xgb_node, inputs)#: common to regresssor and classifier

static fill_tree_attributes(js_xgb_node, attr_pairs, tree_weights, is_classifier)#: fills tree attributes

static get_xgb_params(xgb_node)#

Retrieves parameters of a model.

class mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBRegressorConverter#

converter class

mlprodict.onnx_conv.operator_converters.conv_xgboost.convert_xgboost(scope, operator, container)#

This converters reuses the code from XGBoost.py and makes some modifications. It implements converters for models in xgboost.