.. _l-GaussianProcessRegressor-~b-reg-64-rbf-cdist-o17: GaussianProcessRegressor - ~b-reg-64 - rbf - cdist ================================================== Fitted on a problem type *~b-reg-64* (see :func:`find_suitable_problem `), method `predict` matches output . Model was converted with additional parameter: ``={'optim': 'cdist'}``. :: GaussianProcessRegressor(alpha=100.0, kernel=RBF(length_scale=1), random_state=0) +------------------------------------------+------------+ | index | 0 | +==========================================+============+ | skl_nop | 1 | +------------------------------------------+------------+ | onx_size | 6058 | +------------------------------------------+------------+ | onx_nnodes | 18 | +------------------------------------------+------------+ | onx_ninits | 6 | +------------------------------------------+------------+ | onx_doc_string | | +------------------------------------------+------------+ | onx_ir_version | 8 | +------------------------------------------+------------+ | onx_domain | ai.onnx | +------------------------------------------+------------+ | onx_model_version | 0 | +------------------------------------------+------------+ | onx_producer_name | skl2onnx | +------------------------------------------+------------+ | onx_producer_version | 1.13.1 | +------------------------------------------+------------+ | onx_ | 15 | +------------------------------------------+------------+ | onx_com.microsoft | 1 | +------------------------------------------+------------+ | onx_op_Reshape | 1 | +------------------------------------------+------------+ | onx_size_optim | 5918 | +------------------------------------------+------------+ | onx_nnodes_optim | 16 | +------------------------------------------+------------+ | onx_ninits_optim | 6 | +------------------------------------------+------------+ | 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 | +------------------------------------------+------------+ .. gdot:: digraph{ size=7; ranksep=0.25; nodesep=0.05; orientation=portrait; X [shape=box color=red label="X\ndouble((0, 4))" fontsize=10]; GPmean [shape=box color=green label="GPmean\ndouble((0, 1))" fontsize=10]; kgpd_ReduceSumcst [shape=box label="kgpd_ReduceSumcst\nint64((1,))\n[0]" fontsize=10]; kgpd_Divcst [shape=box label="kgpd_Divcst\nfloat64((112, 4))\n[[ 4.30175021e+00 3.94531870e+00 9.21953113e-01 ..." fontsize=10]; kgpd_ReduceSumcst1 [shape=box label="kgpd_ReduceSumcst1\nint64((1,))\n[1]" fontsize=10]; gpr_MatMulcst [shape=box label="gpr_MatMulcst\nfloat64((112,))\n[-0.00757167 -0.00518199 0.02450991 0.00881651 ..." fontsize=10]; gpr_Addcst [shape=box label="gpr_Addcst\nfloat64((1, 1))\n[[0.]]" fontsize=10]; Re_Reshapecst [shape=box label="Re_Reshapecst\nint64((2,))\n[-1 1]" fontsize=10]; kgpd_shape04 [shape=box label="kgpd_shape04" fontsize=10]; kgpd_Shape2 [shape=box style="filled,rounded" color=orange label="Shape\n(kgpd_Shape2)" fontsize=10]; X -> kgpd_Shape2; kgpd_Shape2 -> kgpd_shape04; kgpd_shape01 [shape=box label="kgpd_shape01" fontsize=10]; kgpd_Shape [shape=box style="filled,rounded" color=orange label="Shape\n(kgpd_Shape)" fontsize=10]; X -> kgpd_Shape; kgpd_Shape -> kgpd_shape01; kgpd_output04 [shape=box label="kgpd_output04" fontsize=10]; kgpd_ConstantOfShape2 [shape=box style="filled,rounded" color=orange label="ConstantOfShape\n(kgpd_ConstantOfShape2)\nvalue=[0.]" fontsize=10]; kgpd_shape04 -> kgpd_ConstantOfShape2; kgpd_ConstantOfShape2 -> kgpd_output04; kgpd_output02 [shape=box label="kgpd_output02" fontsize=10]; kgpd_ConstantOfShape [shape=box style="filled,rounded" color=orange label="ConstantOfShape\n(kgpd_ConstantOfShape)\nvalue=[0.]" fontsize=10]; kgpd_shape01 -> kgpd_ConstantOfShape; kgpd_ConstantOfShape -> kgpd_output02; kgpd_reduced0 [shape=box label="kgpd_reduced0" fontsize=10]; kgpd_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(kgpd_ReduceSum)\nkeepdims=0" fontsize=10]; kgpd_output02 -> kgpd_ReduceSum; kgpd_ReduceSumcst -> kgpd_ReduceSum; kgpd_ReduceSum -> kgpd_reduced0; kgpd_reduced02 [shape=box label="kgpd_reduced02" fontsize=10]; kgpd_ReduceSum1 [shape=box style="filled,rounded" color=orange label="ReduceSum\n(kgpd_ReduceSum1)\nkeepdims=1" fontsize=10]; kgpd_output04 -> kgpd_ReduceSum1; kgpd_ReduceSumcst1 -> kgpd_ReduceSum1; kgpd_ReduceSum1 -> kgpd_reduced02; kgpd_shape0 [shape=box label="kgpd_shape0" fontsize=10]; kgpd_Shape1 [shape=box style="filled,rounded" color=orange label="Shape\n(kgpd_Shape1)" fontsize=10]; kgpd_reduced0 -> kgpd_Shape1; kgpd_Shape1 -> kgpd_shape0; kgpd_shape03 [shape=box label="kgpd_shape03" fontsize=10]; kgpd_Shape3 [shape=box style="filled,rounded" color=orange label="Shape\n(kgpd_Shape3)" fontsize=10]; kgpd_reduced02 -> kgpd_Shape3; kgpd_Shape3 -> kgpd_shape03; kgpd_output01 [shape=box label="kgpd_output01" fontsize=10]; kgpd_ConstantOfShape1 [shape=box style="filled,rounded" color=orange label="ConstantOfShape\n(kgpd_ConstantOfShape1)\nvalue=[9.21246291]" fontsize=10]; kgpd_shape0 -> kgpd_ConstantOfShape1; kgpd_ConstantOfShape1 -> kgpd_output01; kgpd_output03 [shape=box label="kgpd_output03" fontsize=10]; kgpd_ConstantOfShape3 [shape=box style="filled,rounded" color=orange label="ConstantOfShape\n(kgpd_ConstantOfShape3)\nvalue=[-0.5]" fontsize=10]; kgpd_shape03 -> kgpd_ConstantOfShape3; kgpd_ConstantOfShape3 -> kgpd_output03; kgpd_C01 [shape=box label="kgpd_C01" fontsize=10]; kgpd_Div [shape=box style="filled,rounded" color=orange label="Div\n(kgpd_Div)" fontsize=10]; X -> kgpd_Div; kgpd_output01 -> kgpd_Div; kgpd_Div -> kgpd_C01; kgpd_C02 [shape=box label="kgpd_C02" fontsize=10]; kgpd_Div1 [shape=box style="filled,rounded" color=orange label="Div\n(kgpd_Div1)" fontsize=10]; kgpd_Divcst -> kgpd_Div1; kgpd_output01 -> kgpd_Div1; kgpd_Div1 -> kgpd_C02; kgpd_dist [shape=box label="kgpd_dist" fontsize=10]; kgpd_CDist [shape=box style="filled,rounded" color=orange label="CDist\n(kgpd_CDist)\nmetric=b'sqeuclidean'" fontsize=10]; kgpd_C01 -> kgpd_CDist; kgpd_C02 -> kgpd_CDist; kgpd_CDist -> kgpd_dist; kgpd_C0 [shape=box label="kgpd_C0" fontsize=10]; kgpd_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(kgpd_Mul)" fontsize=10]; kgpd_dist -> kgpd_Mul; kgpd_output03 -> kgpd_Mul; kgpd_Mul -> kgpd_C0; kgpd_output0 [shape=box label="kgpd_output0" fontsize=10]; kgpd_Exp [shape=box style="filled,rounded" color=orange label="Exp\n(kgpd_Exp)" fontsize=10]; kgpd_C0 -> kgpd_Exp; kgpd_Exp -> kgpd_output0; gpr_Y0 [shape=box label="gpr_Y0" fontsize=10]; gpr_MatMul [shape=box style="filled,rounded" color=orange label="MatMul\n(gpr_MatMul)" fontsize=10]; kgpd_output0 -> gpr_MatMul; gpr_MatMulcst -> gpr_MatMul; gpr_MatMul -> gpr_Y0; gpr_C0 [shape=box label="gpr_C0" fontsize=10]; gpr_Add [shape=box style="filled,rounded" color=orange label="Add\n(gpr_Add)" fontsize=10]; gpr_Y0 -> gpr_Add; gpr_Addcst -> gpr_Add; gpr_Add -> gpr_C0; Re_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(Re_Reshape)\nallowzero=0" fontsize=10]; gpr_C0 -> Re_Reshape; Re_Reshapecst -> Re_Reshape; Re_Reshape -> GPmean; }