XGBClassifier - m-cl - default -#
Fitted on a problem type m-cl
(see find_suitable_problem
),
method predict_proba matches output .
XGBClassifier(base_score=None, booster=None, callbacks=None,
colsample_bylevel=None, colsample_bynode=None,
colsample_bytree=None, early_stopping_rounds=None,
enable_categorical=False, eval_metric=None, feature_types=None,
gamma=None, gpu_id=None, grow_policy=None, importance_type=None,
interaction_constraints=None, learning_rate=None, max_bin=None,
max_cat_threshold=None, max_cat_to_onehot=None,
max_delta_step=None, max_depth=None, max_leaves=None,
min_child_weight=None, missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=None, num_parallel_tree=None,
objective='multi:softprob', predictor=None, ...)
index |
0 |
---|---|
skl_nop |
1 |
onx_size |
43873 |
onx_nnodes |
3 |
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 |
9 |
|
onx_ai.onnx.ml |
1 |
onx_op_Cast |
1 |
onx_op_ZipMap |
1 |
onx_size_optim |
43873 |
onx_nnodes_optim |
3 |
onx_ninits_optim |
0 |
fit_classes_.shape |
3 |
3 |
|
fit_objective |
multi:softprob |
fit_estimators_.size |
300 |
fit_node_count |
1336 |
fit_ntrees |
300 |
fit_leave_count |
818 |
fit_mode_count |
2 |