LassoCV - b-reg - default -#

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

LassoCV(n_jobs=8, random_state=0)

index

0

skl_nop

1

skl_ncoef

4

skl_nlin

1

onx_size

250

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

onx_

15

onx_size_optim

250

onx_nnodes_optim

1

onx_ninits_optim

0

fit_mse_path_.shape

(100, 5)

fit_alpha_.shape

1

fit_alphas_.shape

100

fit_coef_.shape

4

%0 X X float((0, 4)) LinearRegressor LinearRegressor (LinearRegressor) coefficients=[-0.12332594  0.  ... intercepts=[0.03164279] X->LinearRegressor variable variable float((0, 1)) LinearRegressor->variable