LinearRegression - ~m-reg-64 - default -#

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

LinearRegression(n_jobs=8)

index

0

skl_nop

1

skl_ncoef

2

skl_nlin

1

onx_size

405

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

405

onx_nnodes_optim

3

onx_ninits_optim

3

fit_coef_.shape

(2, 4)

fit_singular_.shape

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)) [[-0.1947699  -0.1947699 ] [ 0.04866694  0.04866694] [ 0.50343211  0.50343211] [ 0.60207617  0.60207617]] coef->MatMul intercept intercept float64((2,)) [0.17583265 0.67583265] 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

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