.. _l-GaussianProcessRegressor-~b-reg-std-NSV-64-dotproduct--o17:

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

Fitted on a problem type *~b-reg-std-NSV-64*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.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                                 | 106055     |
+------------------------------------------+------------+
| 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                     | 1.13.1     |
+------------------------------------------+------------+
| onx_                                     | 17         |
+------------------------------------------+------------+
| onx_op_Reshape                           | 1          |
+------------------------------------------+------------+
| onx_size_optim                           | 106055     |
+------------------------------------------+------------+
| 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        |
+------------------------------------------+------------+


.. gdot::

        digraph{
      size=7;
      ranksep=0.25;
      nodesep=0.05;
      orientation=portrait;

      X [shape=box color=red label="X\ndouble((0, 0))" fontsize=10];

      GPmean [shape=box color=green label="GPmean\ndouble((0, 1))" fontsize=10];
      GPcovstd [shape=box color=green label="GPcovstd\ndouble(('?',))" fontsize=10];

      kgpd_MatMulcst [shape=box label="kgpd_MatMulcst\nfloat64((4, 112))\n[[ 4.30175021e+00  5.16919873e+00  5.96835159e+00 ..." fontsize=10];
      kgpd_Addcst [shape=box label="kgpd_Addcst\nfloat64((1,))\n[0.00017647]" fontsize=10];
      gpr_MatMulcst [shape=box label="gpr_MatMulcst\nfloat64((112,))\n[-0.00250094 -0.00240356  0.01185891 -0.00383052 -..." 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];
      gprv_Squeezecst [shape=box label="gprv_Squeezecst\nint64((1,))\n[1]" fontsize=10];
      gprv_MatMulcst [shape=box label="gprv_MatMulcst\nfloat64((112, 112))\n[[ 9.69955246e-03 -2.62264889e-04 -1.34436661e-05 ..." fontsize=10];
      gprv_Maxcst [shape=box label="gprv_Maxcst\nfloat64((1,))\n[0.]" fontsize=10];

      gprv_reduced0 [shape=box label="gprv_reduced0" fontsize=10];
      gprv_ReduceSumSquare [shape=box style="filled,rounded" color=orange label="ReduceSumSquare\n(gprv_ReduceSumSquare)\naxes=[1]\nkeepdims=1" fontsize=10];
      X -> gprv_ReduceSumSquare;
      gprv_ReduceSumSquare -> gprv_reduced0;

      kgpd_Y0 [shape=box label="kgpd_Y0" fontsize=10];
      kgpd_MatMul [shape=box style="filled,rounded" color=orange label="MatMul\n(kgpd_MatMul)" fontsize=10];
      X -> kgpd_MatMul;
      kgpd_MatMulcst -> kgpd_MatMul;
      kgpd_MatMul -> kgpd_Y0;

      gprv_C01 [shape=box label="gprv_C01" fontsize=10];
      gprv_Add [shape=box style="filled,rounded" color=orange label="Add\n(gprv_Add)" fontsize=10];
      gprv_reduced0 -> gprv_Add;
      kgpd_Addcst -> gprv_Add;
      gprv_Add -> gprv_C01;

      kgpd_C0 [shape=box label="kgpd_C0" fontsize=10];
      kgpd_Add [shape=box style="filled,rounded" color=orange label="Add\n(kgpd_Add)" fontsize=10];
      kgpd_Y0 -> kgpd_Add;
      kgpd_Addcst -> kgpd_Add;
      kgpd_Add -> kgpd_C0;

      gprv_squeezed0 [shape=box label="gprv_squeezed0" fontsize=10];
      gprv_Squeeze [shape=box style="filled,rounded" color=orange label="Squeeze\n(gprv_Squeeze)" fontsize=10];
      gprv_C01 -> gprv_Squeeze;
      gprv_Squeezecst -> gprv_Squeeze;
      gprv_Squeeze -> gprv_squeezed0;

      gprv_Y0 [shape=box label="gprv_Y0" fontsize=10];
      gprv_MatMul [shape=box style="filled,rounded" color=orange label="MatMul\n(gprv_MatMul)" fontsize=10];
      kgpd_C0 -> gprv_MatMul;
      gprv_MatMulcst -> gprv_MatMul;
      gprv_MatMul -> gprv_Y0;

      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_C0 -> 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;

      gprv_C02 [shape=box label="gprv_C02" fontsize=10];
      gprv_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(gprv_Mul)" fontsize=10];
      gprv_Y0 -> gprv_Mul;
      kgpd_C0 -> gprv_Mul;
      gprv_Mul -> gprv_C02;

      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;

      gprv_reduced02 [shape=box label="gprv_reduced02" fontsize=10];
      gprv_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(gprv_ReduceSum)\nkeepdims=0" fontsize=10];
      gprv_C02 -> gprv_ReduceSum;
      gprv_Squeezecst -> gprv_ReduceSum;
      gprv_ReduceSum -> gprv_reduced02;

      gprv_C0 [shape=box label="gprv_C0" fontsize=10];
      gprv_Sub [shape=box style="filled,rounded" color=orange label="Sub\n(gprv_Sub)" fontsize=10];
      gprv_squeezed0 -> gprv_Sub;
      gprv_reduced02 -> gprv_Sub;
      gprv_Sub -> gprv_C0;

      gprv_max0 [shape=box label="gprv_max0" fontsize=10];
      gprv_Max [shape=box style="filled,rounded" color=orange label="Max\n(gprv_Max)" fontsize=10];
      gprv_C0 -> gprv_Max;
      gprv_Maxcst -> gprv_Max;
      gprv_Max -> gprv_max0;

      gprv_Sqrt [shape=box style="filled,rounded" color=orange label="Sqrt\n(gprv_Sqrt)" fontsize=10];
      gprv_max0 -> gprv_Sqrt;
      gprv_Sqrt -> GPcovstd;
    }