LGBMRegressor - b-reg - default -#

Fitted on a problem type b-reg (see find_suitable_problem), method predict matches output .

LGBMRegressor(n_jobs=8, random_state=0)

index

0

skl_nop

1

onx_size

28075

onx_nnodes

2

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

onx_

14

onx_op_Identity

1

onx_size_optim

28035

onx_nnodes_optim

1

onx_ninits_optim

0

fit_n_features_

4

fit_objective

regression

fit_n_targets

1

fit_estimators_.size

100

fit_node_count

746

fit_ntrees

100

fit_leave_count

423

fit_mode_count

2

%0 X X float((0, 4)) LightGbmLGBMRegressor TreeEnsembleRegressor (LightGbmLGBMRegressor) n_targets=1 nodes_falsenodeids=[2 0 4 0 0 2... nodes_featureids=[2 0 2 0 0 2 0... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[1 0 1 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2 3 4 0 1 2 ... nodes_treeids=[ 0  0  0  0  0  ... nodes_truenodeids=[1 0 3 0 0 1 ... nodes_values=[3.106216  0.     ... post_transform=b'NONE' target_ids=[0 0 0 0 0 0 0 0 0 0... target_nodeids=[1 3 4 1 3 4 1 3... target_treeids=[ 0  0  0  1  1 ... target_weights=[ 1.63793349e+00... X->LightGbmLGBMRegressor variable variable float((0, 1)) output output Identity Identity (Identity) output->Identity LightGbmLGBMRegressor->output Identity->variable