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Results 21 - 30 of 158 for pipe (0.15 sec)

  1. Comparing Target Encoder with Other Encoders — ...

    pipe ): result = cross_validate ( pipe , X , y , scoring...categorical_features ), ] ) pipe = make_pipeline ( preprocessor...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html
    Fri May 31 14:06:04 UTC 2024
      135.4K bytes
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  2. Arkansas trans community center vandalized for ...

    SKIP TO CONTENT The pipes for InTRANSitive’s community...year, someone has damaged the pipes outside of the building at least...
    www.nbcnews.com/nbc-out/out-news/arkansas-trans-community-center-vandalized-5th-time-year-advocat...
    Sat May 04 00:53:56 UTC 2024
      222.1K bytes
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  3. Displaying Pipelines — scikit-learn 1.5.0 docum...

    ] pipe = Pipeline ( steps ) pipe # click on the...= "linear" ))] pipe = Pipeline ( steps ) pipe # click on the...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.html
    Fri May 31 14:06:06 UTC 2024
      204.6K bytes
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  4. Recursive feature elimination — scikit-learn 1....

    ] ) pipe . fit ( X , y ) ranking = pipe . named_steps...), - 1 )) y = digits . target pipe = Pipeline ( [ ( "scaler" ,...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html
    Fri May 31 14:06:06 UTC 2024
      91.1K bytes
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  5. auto_examples_python.zip

    pipe.set_params(max_depth=3, max_iter=15) else: pipe.set_params(... step=1)), ] ) pipe.fit(X, y) ranking = pipe.named_steps["rf...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    Fri May 31 14:06:04 UTC 2024
      1.6M bytes
      4 views
     
  6. Replace Splunk with Elastic for Logs, Security ...

    visualizations or our lightning fast piped query language to get insights...language ES|QL is Elastic's new piped query language and engine that...
    www.elastic.co/splunk-replacement
    Sat Jun 01 00:46:54 UTC 2024
      557.3K bytes
      2 views
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  7. 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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  8. 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
      123.8K bytes
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  9. 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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  10. 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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