GaussianProcessRegressor - ~b-reg-NF-cov-64 - rbf - cdist#

Fitted on a problem type ~b-reg-NF-cov-64 (see find_suitable_problem), method predict matches output . Model was converted with additional parameter: <class 'sklearn.gaussian_process._gpr.GaussianProcessRegressor'>={'optim': 'cdist'}.

GaussianProcessRegressor(alpha=100.0, kernel=RBF(length_scale=1),
                     random_state=42)

index

0

skl_nop

1

onx_size

1650

onx_nnodes

20

onx_ninits

2

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_

15

onx_subgraphs

1

onx_op_Identity

1

onx_op_Identity_optim

1

onx_subgraphs_optim

1

onx_size_optim

1296

onx_nnodes_optim

15

onx_ninits_optim

2
%0 cluster_Scan139930304962624_139930469640752 Scan (Sc_Scan) body=node {  input: 'next_in'... num_scan_inputs=1 X X double((0, 4)) Sh_Shape3 Shape (Sh_Shape3) X->Sh_Shape3 Sh_Shape1 Shape (Sh_Shape1) X->Sh_Shape1 Sh_Shape Shape (Sh_Shape) X->Sh_Shape Di_Div Div (Di_Div) X->Di_Div GPmean GPmean double((0, 1)) GPcovstd GPcovstd double(('?',)) Re_ReduceSumcst Re_ReduceSumcst int64((1,)) [1] Re_ReduceSum2 ReduceSum (Re_ReduceSum2) keepdims=1 Re_ReduceSumcst->Re_ReduceSum2 Re_ReduceSum ReduceSum (Re_ReduceSum) keepdims=1 Re_ReduceSumcst->Re_ReduceSum Re_ReduceSumcst1 Re_ReduceSumcst1 int64((1,)) [0] Re_ReduceSum1 ReduceSum (Re_ReduceSum1) keepdims=0 Re_ReduceSumcst1->Re_ReduceSum1 Sh_shape05 Sh_shape05 Co_ConstantOfShape3 ConstantOfShape (Co_ConstantOfShape3) value=[0.] Sh_shape05->Co_ConstantOfShape3 Sh_Shape3->Sh_shape05 Sh_shape03 Sh_shape03 Co_ConstantOfShape1 ConstantOfShape (Co_ConstantOfShape1) value=[0.] Sh_shape03->Co_ConstantOfShape1 Sh_Shape1->Sh_shape03 Sh_shape0 Sh_shape0 Co_ConstantOfShape ConstantOfShape (Co_ConstantOfShape) value=[0.] Sh_shape0->Co_ConstantOfShape Sh_Shape->Sh_shape0 Co_output05 Co_output05 Co_output05->Re_ReduceSum2 Co_ConstantOfShape3->Co_output05 Co_output03 Co_output03 Co_output03->Re_ReduceSum1 Co_ConstantOfShape1->Co_output03 Co_output0 Co_output0 Co_output0->Re_ReduceSum Co_ConstantOfShape->Co_output0 Re_reduced0 Re_reduced0 Sh_Shape2 Shape (Sh_Shape2) Re_reduced0->Sh_Shape2 Re_ReduceSum1->Re_reduced0 Re_reduced02 Re_reduced02 Sh_Shape4 Shape (Sh_Shape4) Re_reduced02->Sh_Shape4 Re_ReduceSum2->Re_reduced02 Re_ReduceSum->GPmean Sh_shape04 Sh_shape04 Co_ConstantOfShape4 ConstantOfShape (Co_ConstantOfShape4) value=[-0.5] Sh_shape04->Co_ConstantOfShape4 Sh_Shape4->Sh_shape04 Sh_shape02 Sh_shape02 Co_ConstantOfShape2 ConstantOfShape (Co_ConstantOfShape2) value=[1.] Sh_shape02->Co_ConstantOfShape2 Sh_Shape2->Sh_shape02 Co_output02 Co_output02 Co_output02->Di_Div Co_ConstantOfShape2->Co_output02 Co_output04 Co_output04 Mu_Mul Mul (Mu_Mul) Co_output04->Mu_Mul Co_ConstantOfShape4->Co_output04 Di_C0 Di_C0 B_next_in next_in double((0, 0)) Di_C0->B_next_in B_next next double((0,)) Di_C0->B_next Sc_Scan Sc_Scan Di_C0->Sc_Scan Di_C0->Sc_Scan Di_Div->Di_C0 UU010UU UU010UU UU011UU UU011UU UU011UU->Mu_Mul B_pdistsqe_6_Identity Identity (pdistsqe_6_Identity) B_next_in->B_pdistsqe_6_Identity B_cflat_6_Sub Sub (cflat_6_Sub) B_next_in->B_cflat_6_Sub B_next->B_cflat_6_Sub B_next_out next_out double((0, 0)) B_next_out->UU010UU B_scan_out scan_out double((0,)) B_scan_out->UU011UU B_pdistsqe_6_Identity->B_next_out B_cflat_6_C0 cflat_6_C0 B_cflat_6_ReduceSumSquare ReduceSumSquare (cflat_6_ReduceSumSquare) axes=[1] keepdims=0 B_cflat_6_C0->B_cflat_6_ReduceSumSquare B_cflat_6_Sub->B_cflat_6_C0 B_cflat_6_ReduceSumSquare->B_scan_out Sc_Scan->UU010UU Sc_Scan->UU011UU Sc_Scan->B_pdistsqe_6_Identity Mu_C0 Mu_C0 Ex_Exp Exp (Ex_Exp) Mu_C0->Ex_Exp Mu_Mul->Mu_C0 Ex_Exp->GPcovstd

previous

GaussianProcessRegressor - ~b-reg-NF-cov-64 - rational - cdist

next

GaussianProcessRegressor - ~b-reg-NF-std-64 - expsine - cdist