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Results 1 - 10 of 45 for pipe (0.43 sec)

  1. Part 4: Natural Language Processing with Fess

    $ pip install elasticsearch $ pip install numpy $ pip install...with the following command: $ pip install esanpy To use it, import...
    fess.codelibs.org/articles/4/document.html
    Wed Nov 05 02:38:03 UTC 2025
      28.5K bytes
      20 views
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  2. getting_started.rst.txt

    create a pipeline object >>> pipe = make_pipeline( ... StandardScaler(),...# fit the whole pipeline >>> pipe.fit(X_train, y_train) Pipel...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Wed Nov 05 14:36:33 UTC 2025
      10.3K bytes
      1 views
     
  3. grid_search.rst.txt

    tion import SelectKBest >>> pipe = Pipeline([ ... ('select',...8]} >>> search = GridSearchCV(pipe, param_grid, cv=5).fit(X, y)...
    scikit-learn.org/stable/_sources/modules/grid_search.rst.txt
    Tue Nov 04 06:34:51 UTC 2025
      33.4K bytes
      2 views
     
  4. Configure an HTTP endpoint for metrics | Packet...

    sock) or Windows named pipe (npipe:///packetbeat). It is recommended...Default is 5066 . http.named_pipe.user (Optional) User to use...
    www.elastic.co/guide/en/beats/packetbeat/current/http-endpoint.html
    Thu Oct 23 15:12:20 UTC 2025
      16.9K bytes
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      Similar Results (4)
     
  5. Pipelining: chaining a PCA and a logistic regre...

    plot_digits_pipe.py Download zipped: plot_digits_pipe.zip Related...max_iter = 10000 , tol = 0.1 ) pipe = Pipeline ( steps = [( "scaler"...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Wed Nov 05 14:36:35 UTC 2025
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  6. preprocessing.rst.txt

    random_state=42) >>> pipe = make_pipeline(StandardScaler(),..., LogisticRegression()) >>> pipe.fit(X_train, y_train) # apply...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Mon Nov 03 14:20:04 UTC 2025
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  7. Configure an HTTP endpoint for metrics | Filebe...

    sock) or Windows named pipe (npipe:///filebeat). It is recommended...Default is 5066 . http.named_pipe.user (Optional) User to use...
    www.elastic.co/guide/en/beats/filebeat/current/http-endpoint.html
    Thu Oct 23 15:12:20 UTC 2025
      18K bytes
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  8. 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
    Wed Nov 05 14:36:35 UTC 2025
      91.4K bytes
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  9. Getting Started — scikit-learn 1.7.2 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
    Wed Nov 05 14:36:33 UTC 2025
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  10. Beats version 8.19.0 | Beats Platform Reference...

    newfstatat - open - openat - pipe - pipe2 - poll - ppoll - prctl -...
    www.elastic.co/guide/en/beats/libbeat/current/release-notes-8.19.0.html
    Mon Oct 20 16:31:33 UTC 2025
      26.8K bytes
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