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 |
1.11.1 |
onx_ai.onnx.ml |
1 |
15 |
|
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.sum|tree_.node_count |
1986 |
fit__predictors.max|tree_.max_depth |
4 |