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Results 11 - 20 of 127 for pipe (0.09 sec)

  1. 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
    Sat May 04 16:42:15 UTC 2024
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  2. sklearn.feature_extraction.text.TfidfTransforme...

    'one' ] >>> pipe = Pipeline ([( 'count' , CountVectorizer...TfidfTransformer ())]) . fit ( corpus ) >>> pipe [ 'count' ] . transform ( corpus...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html
    Sat May 04 16:42:15 UTC 2024
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  3. Release Highlights for scikit-learn 1.0 — sciki...

    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
    Sat May 04 16:42:14 UTC 2024
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  4. 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
    Sat May 04 16:42:15 UTC 2024
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  5. 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
    Sat May 04 16:42:15 UTC 2024
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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
    Sat May 04 16:42:14 UTC 2024
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  7. 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
    Sat May 04 16:42:15 UTC 2024
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  8. Logstash Reference [8.13] | Elastic

    logstash log4j lumberjack meetup pipe puppet_facter rabbitmq redis...nagios_nsca opentsdb pagerduty pipe rabbitmq redis redmine riak...
    www.elastic.co/guide/en/logstash/current/index.html
    Wed May 01 23:23:50 UTC 2024
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  9. Getting Started — scikit-learn 1.4.2 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
    Sat May 04 16:42:15 UTC 2024
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  10. Release Highlights for scikit-learn 0.24 — scik...

    the latest version (with pip): pip install -- upgrade scikit...fetch_covtype ( return_X_y = True ) pipe = make_pipeline ( MinMaxScaler...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
    Sat May 04 16:42:15 UTC 2024
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