.. _l-TruncatedSVD-num-tr-default--o17:

TruncatedSVD - num-tr - default - 
==================================

Fitted on a problem type *num-tr*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.find_suitable_problem>`),
method `transform` matches output .


::

        TruncatedSVD(random_state=0)

+-------------------------------------+----------+
| index                               | 0        |
+=====================================+==========+
| skl_nop                             | 1        |
+-------------------------------------+----------+
| onx_size                            | 241      |
+-------------------------------------+----------+
| onx_nnodes                          | 1        |
+-------------------------------------+----------+
| onx_ninits                          | 1        |
+-------------------------------------+----------+
| 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_                                | 13       |
+-------------------------------------+----------+
| onx_size_optim                      | 241      |
+-------------------------------------+----------+
| onx_nnodes_optim                    | 1        |
+-------------------------------------+----------+
| onx_ninits_optim                    | 1        |
+-------------------------------------+----------+
| fit_components_.shape               | (2, 4)   |
+-------------------------------------+----------+
| fit_explained_variance_.shape       | 2        |
+-------------------------------------+----------+
| fit_explained_variance_ratio_.shape | 2        |
+-------------------------------------+----------+
| fit_singular_values_.shape          | 2        |
+-------------------------------------+----------+


.. gdot::

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

      X [shape=box color=red label="X\nfloat((0, 4))" fontsize=10];

      variable [shape=box color=green label="variable\nfloat((0, 2))" fontsize=10];

      transform_matrix [shape=box label="transform_matrix\nfloat32((4, 2))\n[[ 0.75457555  0.29342988]\n [ 0.37440276  0.5413836 ]\n [ 0.51346946 -0.7380332 ]\n [ 0.16366868 -0.27588028]]" fontsize=10];

      SklearnTruncatedSVD [shape=box style="filled,rounded" color=orange label="MatMul\n(SklearnTruncatedSVD)" fontsize=10];
      X -> SklearnTruncatedSVD;
      transform_matrix -> SklearnTruncatedSVD;
      SklearnTruncatedSVD -> variable;
    }