HistGradientBoostingClassifier - m-cl - default - {‘zipmap’: False}#

Fitted on a problem type m-cl (see find_suitable_problem), method predict_proba matches output . Model was converted with additional parameter: <class 'sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier'>={'zipmap': False}.

HistGradientBoostingClassifier(random_state=0)

index

0

skl_nop

1

onx_size

75584

onx_nnodes

1

onx_ninits

0

onx_doc_string

onx_ir_version

8

onx_domain

ai.onnx

onx_model_version

0

onx_producer_name

skl2onnx

onx_producer_version

1.13.1

onx_ai.onnx.ml

3

onx_

17

onx_size_optim

75584

onx_nnodes_optim

1

onx_ninits_optim

0

fit_classes_.shape

3

fit_train_score_.shape

0

fit_validation_score_.shape

0

fit__predictors.size

100

fit__predictors.sum|tree_.leave_count

1143

fit__predictors.max|tree_.max_depth

4

fit__predictors.sum|tree_.node_count

1986