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Fish-Weight

Tabular Regression
Scikit-learn
skops
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Update README.md

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@@ -52,17 +52,9 @@ The model is trained with below hyperparameters.
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  | Hyperparameter | Value |
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  |-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | memory | |
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- | steps | [('columntransformer', ColumnTransformer(remainder='passthrough',
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- transformers=[('onehotencoder',
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- OneHotEncoder(handle_unknown='ignore',
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- sparse=False),
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- <sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)])), ('gradientboostingregressor', GradientBoostingRegressor(random_state=42))] |
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  | verbose | False |
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- | columntransformer | ColumnTransformer(remainder='passthrough',
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- transformers=[('onehotencoder',
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- OneHotEncoder(handle_unknown='ignore',
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- sparse=False),
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- <sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)]) |
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  | gradientboostingregressor | GradientBoostingRegressor(random_state=42) |
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  | columntransformer__n_jobs | |
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  | columntransformer__remainder | passthrough |
 
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  | Hyperparameter | Value |
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  |-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | memory | |
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+ | 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))] |
 
 
 
 
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  | verbose | False |
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+ | columntransformer | ColumnTransformer(remainder='passthrough',transformers=[('onehotencoder',OneHotEncoder(handle_unknown='ignore',sparse=False),<sklearn.compose._column_transformer.make_column_selector object at 0x000001E750BBC6A0>)]) |
 
 
 
 
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  | gradientboostingregressor | GradientBoostingRegressor(random_state=42) |
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  | columntransformer__n_jobs | |
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  | columntransformer__remainder | passthrough |