XGBClassifier - ~b-cl-64 - default -#
Fitted on a problem type ~b-cl-64
(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,
predictor=None, random_state=None, ...)
index |
0 |
---|---|
skl_nop |
1 |
onx_size |
5902 |
onx_nnodes |
4 |
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 |
13 |
|
onx_ai.onnx.ml |
3 |
onx_op_Cast |
2 |
onx_op_ZipMap |
1 |
onx_size_optim |
5902 |
onx_nnodes_optim |
4 |
onx_ninits_optim |
0 |
fit_classes_.shape |
2 |
2 |
|
fit_objective |
binary:logistic |
fit_estimators_.size |
100 |
fit_node_count |
128 |
fit_ntrees |
100 |
fit_leave_count |
114 |
fit_mode_count |
2 |