StackingRegressor - b-reg - linreg -#
Fitted on a problem type b-reg
(see find_suitable_problem),
method predict matches output .
StackingRegressor(estimators=[('lr1', LinearRegression()),
('lr2', LinearRegression(fit_intercept=False))],
n_jobs=8)
index |
0 |
|---|---|
skl_nop |
3 |
skl_ncoef |
8 |
skl_nlin |
2 |
onx_size |
842 |
onx_nnodes |
8 |
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 |
14 |
|
onx_op_Cast |
3 |
onx_op_Identity |
1 |
onx_size_optim |
782 |
onx_nnodes_optim |
7 |
onx_ninits_optim |
0 |
fit_estimators_.size |
2 |
fit_estimators_.singular_.shape |
4 |
fit_estimators_.coef_.shape |
4 |