RidgeCV - ~m-reg-64 - default -#

Fitted on a problem type ~m-reg-64 (see find_suitable_problem), method predict matches output .

RidgeCV(alphas=array([ 0.1,  1. , 10. ]))

index

0

skl_nop

1

skl_ncoef

2

skl_nlin

1

onx_size

396

onx_nnodes

3

onx_ninits

3

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_

13

onx_op_Reshape

1

onx_size_optim

396

onx_nnodes_optim

3

onx_ninits_optim

3

fit_alpha_.shape

1

fit_best_score_.shape

1

fit_coef_.shape

(2, 4)

fit_intercept_.shape

2
%0 X X double((0, 4)) MatMul MatMul (MatMul) X->MatMul variable variable double((0, 2)) coef coef float64((4, 2)) [[-0.17899975 -0.17899975] [ 0.04045039  0.04045039] [ 0.50348715  0.50348715] [ 0.57766075  0.57766075]] coef->MatMul intercept intercept float64((2,)) [0.13685446 0.63685446] Add Add (Add) intercept->Add shape_tensor shape_tensor int64((2,)) [-1  2] Reshape Reshape (Reshape) shape_tensor->Reshape multiplied multiplied multiplied->Add MatMul->multiplied resh resh resh->Reshape Add->resh Reshape->variable

previous

RidgeCV - ~b-reg-64 - default -

next

RidgeClassifier - ~b-cl-nop - default - {‘zipmap’: False}