ARDRegression - b-reg - default -#

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

ARDRegression()

index

0

skl_nop

1

skl_ncoef

4

skl_nlin

1

onx_size

256

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

256

onx_nnodes_optim

1

onx_ninits_optim

0

fit_X_offset_.shape

4

fit_X_scale_.shape

4

fit_coef_.shape

4

fit_alpha_.shape

1

fit_sigma_.shape

(4, 4)

fit_lambda_.shape

4

fit_intercept_.shape

1

%0 X X float((0, 4)) LinearRegressor LinearRegressor (LinearRegressor) coefficients=[-1.3479136e-01  4... intercepts=[0.07649223] X->LinearRegressor variable variable float((0, 1)) LinearRegressor->variable