.. _l-GaussianProcessClassifier-b-cl-rational-cdist-o17:

GaussianProcessClassifier - b-cl - rational - cdist
===================================================

Fitted on a problem type *b-cl*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.find_suitable_problem>`),
method `predict_proba` matches output .
Model was converted with additional parameter: ``<class 'sklearn.gaussian_process._gpc.GaussianProcessClassifier'>={'optim': 'cdist'}``.

::

        GaussianProcessClassifier(kernel=RationalQuadratic(alpha=1, length_scale=1),
                              n_jobs=8, random_state=0)

+------------------------------------------+----------+
| index                                    | 0        |
+==========================================+==========+
| skl_nop                                  | 1        |
+------------------------------------------+----------+
| onx_size                                 | 56637    |
+------------------------------------------+----------+
| onx_nnodes                               | 46       |
+------------------------------------------+----------+
| onx_ninits                               | 18       |
+------------------------------------------+----------+
| 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_ai.onnx.ml                           | 1        |
+------------------------------------------+----------+
| onx_com.microsoft                        | 1        |
+------------------------------------------+----------+
| onx_op_Cast                              | 2        |
+------------------------------------------+----------+
| onx_op_ZipMap                            | 1        |
+------------------------------------------+----------+
| onx_op_Reshape                           | 2        |
+------------------------------------------+----------+
| onx_size_optim                           | 56573    |
+------------------------------------------+----------+
| onx_nnodes_optim                         | 45       |
+------------------------------------------+----------+
| onx_ninits_optim                         | 18       |
+------------------------------------------+----------+
| fit_classes_.shape                       | 2        |
+------------------------------------------+----------+
| fit_log_marginal_likelihood_value_.shape | 1        |
+------------------------------------------+----------+
| fit_n_classes_                           | 2        |
+------------------------------------------+----------+


.. gdot::

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      gamma_Reshape -> gamma_reshaped0;

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      gamma_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(gamma_Mul)" fontsize=10];
      gamma_Mulcst -> gamma_Mul;
      gamma_reshaped0 -> gamma_Mul;
      gamma_Mul -> gamma_C0;

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      solve_Solve [shape=box style="filled,rounded" color=orange label="Solve\n(solve_Solve)\nlower=0\ntransposed=0" fontsize=10];
      solve_Solvecst -> solve_Solve;
      solve_C0 -> solve_Solve;
      solve_Solve -> solve_X;

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      intdiv_Mul -> intdiv_C02;

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      intdiv_C02 -> intdiv_Mul1;
      int1_Divcst -> intdiv_Mul1;
      intdiv_Mul1 -> intdiv_C01;

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      label -> Cast;
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      int21_Z0 -> int21_Add;
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      int1_Sqrt [shape=box style="filled,rounded" color=orange label="Sqrt\n(int1_Sqrt)" fontsize=10];
      int1_C0 -> int1_Sqrt;
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      int22_Div [shape=box style="filled,rounded" color=orange label="Div\n(int22_Div)" fontsize=10];
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      int21_C0 -> int22_Div;
      int22_Div -> int22_C0;

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      intdiv_Mul2 [shape=box style="filled,rounded" color=orange label="Mul\n(intdiv_Mul2)" fontsize=10];
      alpha_Mulcst -> intdiv_Mul2;
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      intdiv_Mul2 -> intdiv_C0;

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      int22_Sqrt [shape=box style="filled,rounded" color=orange label="Sqrt\n(int22_Sqrt)" fontsize=10];
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      int22_Sqrt -> int22_Y0;

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      integrals_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(integrals_Mul)" fontsize=10];
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      int22_Y0 -> integrals_Mul;
      integrals_Mul -> integrals_C02;

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      integrals_Erf [shape=box style="filled,rounded" color=orange label="Erf\n(integrals_Erf)" fontsize=10];
      integrals_C02 -> integrals_Erf;
      integrals_Erf -> integrals_output0;

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      integrals_Div [shape=box style="filled,rounded" color=orange label="Div\n(integrals_Div)" fontsize=10];
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      integrals_Div -> integrals_C01;

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      integrals_Mul1 [shape=box style="filled,rounded" color=orange label="Mul\n(integrals_Mul1)" fontsize=10];
      int1_Y0 -> integrals_Mul1;
      integrals_C01 -> integrals_Mul1;
      integrals_Mul1 -> integrals_C0;

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      pi_star_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(pi_star_Mul)" fontsize=10];
      pi_star_Mulcst -> pi_star_Mul;
      integrals_C0 -> pi_star_Mul;
      pi_star_Mul -> pi_star_C01;

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      pi_star_ReduceSum -> pi_star_reduced0;

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      pi_star_Addcst -> pi_star_Add;
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      pi_star2_Reshapecst -> pi_star2_Reshape;
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      probabilities -> ZipMap;
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    }