readme: ---
  license: mit
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-regression
  widget:
    structuredData:
      Height:
      - 11.52
      - 12.48
      - 12.3778
      Length1:
      - 23.2
      - 24.0
      - 23.9
      Length2:
      - 25.4
      - 26.3
      - 26.5
      Length3:
      - 30.0
      - 31.2
      - 31.1
      Species:
      - Bream
      - Bream
      - Bream
      Width:
      - 4.02
      - 4.3056
      - 4.6961
  ---
  
  # Model description
  
  This is a GradientBoostingRegressor on a fish dataset.
  
  ## Intended uses & limitations
  
  This model is intended for educational purposes.
  
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter                                      | Value                                                                                                                                                              |
  |-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | memory                                              |                                                                                                                                                                    |
  | steps                                               | [('columntransformer', ColumnTransformer(remainder='passthrough',transformers=[('onehotencoder',OneHotEncoder(handle_unknown='ignore',sparse=False),<sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)])), ('gradientboostingregressor', GradientBoostingRegressor(random_state=42))]                                                                                                                                                                    |
  | verbose                                             | False                                                                                                                                                              |
  | columntransformer                                   | ColumnTransformer(remainder='passthrough',transformers=[('onehotencoder',OneHotEncoder(handle_unknown='ignore',sparse=False),<sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)])                                                                                                                                                                    |
  | gradientboostingregressor                           | GradientBoostingRegressor(random_state=42)                                                                                                                         |
  | columntransformer__n_jobs                           |                                                                                                                                                                    |
  | columntransformer__remainder                        | passthrough                                                                                                                                                        |
  | columntransformer__sparse_threshold                 | 0.3                                                                                                                                                                |
  | columntransformer__transformer_weights              |                                                                                                                                                                    |
  | columntransformer__transformers                     | [('onehotencoder', OneHotEncoder(handle_unknown='ignore', sparse=False), <sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)] |
  | columntransformer__verbose                          | False                                                                                                                                                              |
  | columntransformer__verbose_feature_names_out        | True                                                                                                                                                               |
  | columntransformer__onehotencoder                    | OneHotEncoder(handle_unknown='ignore', sparse=False)                                                                                                               |
  | columntransformer__onehotencoder__categories        | auto                                                                                                                                                               |
  | columntransformer__onehotencoder__drop              |                                                                                                                                                                    |
  | columntransformer__onehotencod