GaussianProcessRegressor - ~b-reg-std-NSV-64 - rational - cdist#

Fitted on a problem type ~b-reg-std-NSV-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=RationalQuadratic(alpha=1, length_scale=1),
                     random_state=0)

index

0

skl_nop

1

onx_size

106344

onx_nnodes

17

onx_ninits

10

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_com.microsoft

1

onx_op_Reshape

1

onx_size_optim

106344

onx_nnodes_optim

17

onx_ninits_optim

10

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)) gprv_Shape Shape (gprv_Shape) X->gprv_Shape kgpd_CDist CDist (kgpd_CDist) metric=b'sqeuclidean' X->kgpd_CDist GPmean GPmean double((0, 1)) GPcovstd GPcovstd double(('?',)) kgpd_CDistcst kgpd_CDistcst float64((112, 4)) [[ 4.30175021e+00  3.94531870e+00  9.21953113e-01 ... kgpd_CDistcst->kgpd_CDist kgpd_Divcst kgpd_Divcst float64((1,)) [41850.37299622] kgpd_Div Div (kgpd_Div) kgpd_Divcst->kgpd_Div kgpd_Addcst kgpd_Addcst float64((1,)) [1.] kgpd_Add Add (kgpd_Add) kgpd_Addcst->kgpd_Add gprv_Add Add (gprv_Add) kgpd_Addcst->gprv_Add kgpd_Powcst kgpd_Powcst float64((1,)) [-246.43069933] kgpd_Pow Pow (kgpd_Pow) kgpd_Powcst->kgpd_Pow gpr_MatMulcst gpr_MatMulcst float64((112,)) [-0.00757285 -0.00518277  0.02451008  0.00881667  ... 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_ReduceSumcst gprv_ReduceSumcst int64((1,)) [1] gprv_ReduceSum ReduceSum (gprv_ReduceSum) keepdims=0 gprv_ReduceSumcst->gprv_ReduceSum gprv_ReduceSum1 ReduceSum (gprv_ReduceSum1) keepdims=0 gprv_ReduceSumcst->gprv_ReduceSum1 gprv_MatMulcst gprv_MatMulcst float64((112, 112)) [[ 9.94516847e-03 -5.31129098e-05 -4.15217033e-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 gprv_shape0 gprv_shape0 gprv_ConstantOfShape ConstantOfShape (gprv_ConstantOfShape) value=[0.] gprv_shape0->gprv_ConstantOfShape gprv_Shape->gprv_shape0 kgpd_dist kgpd_dist kgpd_dist->kgpd_Div kgpd_CDist->kgpd_dist gprv_output0 gprv_output0 gprv_output0->gprv_ReduceSum gprv_ConstantOfShape->gprv_output0 kgpd_C01 kgpd_C01 kgpd_C01->kgpd_Add kgpd_Div->kgpd_C01 gprv_reduced0 gprv_reduced0 gprv_reduced0->gprv_Add gprv_ReduceSum->gprv_reduced0 kgpd_C0 kgpd_C0 kgpd_C0->kgpd_Pow kgpd_Add->kgpd_C0 gprv_C01 gprv_C01 gprv_Sub Sub (gprv_Sub) gprv_C01->gprv_Sub gprv_Add->gprv_C01 kgpd_Z0 kgpd_Z0 kgpd_Z0->gprv_MatMul kgpd_Z0->gpr_MatMul gprv_Mul Mul (gprv_Mul) kgpd_Z0->gprv_Mul kgpd_Pow->kgpd_Z0 gprv_Y0 gprv_Y0 gprv_Y0->gprv_Mul gprv_MatMul->gprv_Y0 gpr_Y0 gpr_Y0 gpr_Y0->gpr_Add gpr_MatMul->gpr_Y0 gprv_C02 gprv_C02 gprv_C02->gprv_ReduceSum1 gprv_Mul->gprv_C02 gpr_C0 gpr_C0 gpr_C0->Re_Reshape gpr_Add->gpr_C0 Re_Reshape->GPmean gprv_reduced02 gprv_reduced02 gprv_reduced02->gprv_Sub gprv_ReduceSum1->gprv_reduced02 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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