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Results 21 - 30 of 87 for pipe (0.09 sec)

  1. Selecting dimensionality reduction with Pipelin...

    load_digits ( return_X_y = True ) pipe = Pipeline ( [ ( "scaling" ,...f)" ] grid = GridSearchCV ( pipe , n_jobs = 1 , param_grid =...
    scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html
    Fri May 31 14:06:06 UTC 2024
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  2. Categorical Feature Support in Gradient Boostin...

    for pipe in ( hist_dropped , hist_one_hot...hist_ordinal , hist_native ): if pipe is hist_native : # The native...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html
    Fri May 31 14:06:04 UTC 2024
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  3. Balance model complexity and cross-validated sc...

    argmin () ] return best_idx pipe = Pipeline ( [ ( "reduce_dim"...14 ]} grid = GridSearchCV ( pipe , cv = 10 , n_jobs = 1 , param_grid...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html
    Fri May 31 14:06:04 UTC 2024
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  4. Pipelining: chaining a PCA and a logistic regre...

    1 ) pipe = Pipeline ( steps = [( "scaler"...), } search = GridSearchCV ( pipe , param_grid , n_jobs = 2 )...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Fri May 31 14:06:06 UTC 2024
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  5. Getting Started — scikit-learn 1.5.0 documentation

    create a pipeline object >>> pipe = make_pipeline ( ... StandardScaler...# fit the whole pipeline >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/getting_started.html
    Fri May 31 14:06:07 UTC 2024
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      Similar Results (1)
     
  6. Introducing the set_output API — scikit-learn 1...

    transform_output = "pandas" ) num_pipe = make_pipeline ( SimpleImputer...ColumnTransformer ( ( ( "numerical" , num_pipe , num_cols ), ( "categorical"...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html
    Fri May 31 14:06:06 UTC 2024
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  7. maxabs_scale — scikit-learn 1.5.0 documentation

    most risks of data leaking: pipe = make_pipeline(MaxAbsScaler(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html
    Fri May 31 14:06:04 UTC 2024
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  8. 1. Metadata Routing — scikit-learn 1.5.0 docume...

    = SelectKBest ( k = 2 ) >>> pipe = make_pipeline ( sel , lr )...cv_results = cross_validate ( ... pipe , ... X , ... y , ... cv = GroupKFold...
    scikit-learn.org/stable/metadata_routing.html
    Fri May 31 14:06:07 UTC 2024
      93.8K bytes
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  9. Elastic Security Solution | Elastic

    nimble piped queries, and end-to-end case...
    www.elastic.co/security
    Sat Jun 01 00:05:51 UTC 2024
      537K bytes
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  10. World's most downloaded vector database: Elasti...

    support full support (free) Piped queries - ES|QL (coming soon)...
    www.elastic.co/elasticsearch/vector-database
    Sat Jun 01 00:03:10 UTC 2024
      542.4K bytes
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