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Results 1 - 10 of 301 for pipe (0.27 seconds)

  1. Elasticsearch Piped Query Language (ES|QL) | El...

    investigation: Elasticsearch Piped Query Language (ES|QL) Try our...next-generation transformative piped query language and engine —...
    www.elastic.co/elasticsearch/piped-query-language
    Mon Dec 15 02:41:38 GMT 2025
      512.8K bytes
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  2. Recursive feature elimination — scikit-le...

    ] ) 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
    Mon Dec 15 15:02:31 GMT 2025
      91.2K bytes
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  3. 7.1. Pipelines and composite estimators —...

    >>> pipe = Pipeline ( estimators ) >>> pipe Pipel...>>> pipe [ 0 ] PCA() >>> pipe [ 'reduce_dim'...
    scikit-learn.org/stable/modules/compose.html
    Mon Dec 15 15:02:31 GMT 2025
      114.2K bytes
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  4. TfidfTransformer — scikit-learn 1.8.0 doc...

    'one' ] >>> pipe = Pipeline ([( 'count'...fit ( corpus ) >>> pipe [ 'count' ] . transform...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html
    Mon Dec 15 15:02:33 GMT 2025
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  5. 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
    Mon Dec 15 15:02:30 GMT 2025
      97K bytes
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  6. Release Highlights for scikit-learn 1.0 —...

    LogisticRegression ()) pipe . fit ( X , y ) pipe [: - 1 ] . get_feature_names_out...the latest version (with pip): pip install -- upgrade scikit...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html
    Mon Dec 15 15:02:31 GMT 2025
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  7. Getting Started — scikit-learn 1.8.0 docu...

    pipeline object >>> pipe = make_pipeline ( ... StandardScaler...whole pipeline >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/getting_started.html
    Mon Dec 15 15:02:33 GMT 2025
      49.8K bytes
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  8. Evaluating generic phrases using Granite models...

    transformers import pipeline pipe = pipeline( "text-generation"...HuggingFacePipeline( pipeline =pipe) Copy code Copied! Prompt Template...
    developer.ibm.com/articles/generics-granite/
    Tue Dec 16 02:17:44 GMT 2025
      728.5K bytes
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  9. maxabs_scale — scikit-learn 1.8.0 documen...

    most risks of data leaking: pipe = make_pipeline(MaxAbsScaler(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html
    Mon Dec 15 15:02:31 GMT 2025
      110.3K bytes
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  10. scale — scikit-learn 1.8.0 documentation

    most risks of data leaking: pipe = make_pipeline(StandardScaler(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Mon Dec 15 15:02:31 GMT 2025
      112K bytes
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