XGBRegressor - b-reg - default -#
Fitted on a problem type b-reg
(see find_suitable_problem),
method predict matches output .
XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
gamma=0, gpu_id=-1, importance_type=None,
interaction_constraints='', learning_rate=0.300000012,
max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
monotone_constraints='()', n_estimators=100, n_jobs=8,
num_parallel_tree=1, predictor='auto', random_state=0, reg_alpha=0,
reg_lambda=1, scale_pos_weight=1, subsample=1, tree_method='exact',
validate_parameters=1, verbosity=None)
index |
0 |
|---|---|
skl_nop |
1 |
onx_size |
81519 |
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 |
81519 |
onx_nnodes_optim |
1 |
onx_ninits_optim |
0 |
fit_objective |
reg:squarederror |
fit_estimators_.size |
100 |
fit_node_count |
2602 |
fit_ntrees |
100 |
fit_leave_count |
1351 |
fit_mode_count |
2 |