GaussianProcessRegressor - ~b-reg-std-NSV-64 - dotproduct -#

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

GaussianProcessRegressor(alpha=100.0, kernel=DotProduct(sigma_0=1),
                     random_state=0)

index

0

skl_nop

1

onx_size

106038

onx_nnodes

14

onx_ninits

8

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_op_Reshape

1

onx_size_optim

106038

onx_nnodes_optim

14

onx_ninits_optim

8

fit_X_train_.shape

(112, 4)

fit_y_train_.shape

112

fit_log_marginal_likelihood_value_.shape

1

fit_L_.shape

(112, 112)

fit_alpha_.shape

112
%0 X X double((0, 0)) kgpd_MatMul MatMul (kgpd_MatMul) X->kgpd_MatMul gprv_ReduceSumSquare ReduceSumSquare (gprv_ReduceSumSquare) axes=[1] X->gprv_ReduceSumSquare GPmean GPmean double((0, 1)) GPcovstd GPcovstd double(('?',)) kgpd_MatMulcst kgpd_MatMulcst float64((4, 112)) [[ 4.30175021e+00  5.16919873e+00  5.96835159e+00 ... kgpd_MatMulcst->kgpd_MatMul kgpd_Addcst kgpd_Addcst float64((1,)) [0.00017647] kgpd_Add Add (kgpd_Add) kgpd_Addcst->kgpd_Add gprv_Add Add (gprv_Add) kgpd_Addcst->gprv_Add gpr_MatMulcst gpr_MatMulcst float64((112,)) [-0.00250094 -0.00240356  0.01185891 -0.00383052 -... gpr_MatMul MatMul (gpr_MatMul) gpr_MatMulcst->gpr_MatMul gpr_Addcst gpr_Addcst float64((1, 1)) [[0.]] gpr_Add Add (gpr_Add) gpr_Addcst->gpr_Add Re_Reshapecst Re_Reshapecst int64((2,)) [-1  1] Re_Reshape Reshape (Re_Reshape) allowzero=0 Re_Reshapecst->Re_Reshape gprv_Squeezecst gprv_Squeezecst int64((1,)) [1] gprv_Squeeze Squeeze (gprv_Squeeze) gprv_Squeezecst->gprv_Squeeze gprv_ReduceSum ReduceSum (gprv_ReduceSum) keepdims=0 gprv_Squeezecst->gprv_ReduceSum gprv_MatMulcst gprv_MatMulcst float64((112, 112)) [[ 9.69955246e-03 -2.62264889e-04 -1.34436661e-05 ... gprv_MatMul MatMul (gprv_MatMul) gprv_MatMulcst->gprv_MatMul gprv_Maxcst gprv_Maxcst float64((1,)) [0.] gprv_Max Max (gprv_Max) gprv_Maxcst->gprv_Max kgpd_Y0 kgpd_Y0 kgpd_Y0->kgpd_Add kgpd_MatMul->kgpd_Y0 gprv_reduced0 gprv_reduced0 gprv_reduced0->gprv_Add gprv_ReduceSumSquare->gprv_reduced0 kgpd_C0 kgpd_C0 kgpd_C0->gpr_MatMul kgpd_C0->gprv_MatMul gprv_Mul Mul (gprv_Mul) kgpd_C0->gprv_Mul kgpd_Add->kgpd_C0 gprv_C01 gprv_C01 gprv_C01->gprv_Squeeze gprv_Add->gprv_C01 gprv_squeezed0 gprv_squeezed0 gprv_Sub Sub (gprv_Sub) gprv_squeezed0->gprv_Sub gprv_Squeeze->gprv_squeezed0 gpr_Y0 gpr_Y0 gpr_Y0->gpr_Add gpr_MatMul->gpr_Y0 gprv_Y0 gprv_Y0 gprv_Y0->gprv_Mul gprv_MatMul->gprv_Y0 gpr_C0 gpr_C0 gpr_C0->Re_Reshape gpr_Add->gpr_C0 gprv_C02 gprv_C02 gprv_C02->gprv_ReduceSum gprv_Mul->gprv_C02 gprv_reduced02 gprv_reduced02 gprv_reduced02->gprv_Sub gprv_ReduceSum->gprv_reduced02 Re_Reshape->GPmean gprv_C0 gprv_C0 gprv_C0->gprv_Max gprv_Sub->gprv_C0 gprv_max0 gprv_max0 gprv_Sqrt Sqrt (gprv_Sqrt) gprv_max0->gprv_Sqrt gprv_Max->gprv_max0 gprv_Sqrt->GPcovstd

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