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Results 11 - 20 of 132 for pipe (0.1 sec)

  1. 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
    Thu Mar 28 16:05:57 UTC 2024
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  2. 6.3. Preprocessing data — scikit-learn 1.4.1 do...

    random_state = 42 ) >>> pipe = make_pipeline ( StandardScaler...(), LogisticRegression ()) >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/modules/preprocessing.html
    Thu Mar 28 16:05:58 UTC 2024
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  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
    Thu Mar 28 16:05:59 UTC 2024
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      2 views
     
  4. the wombles could not be reached for comment | ...

    ) Protip: a spiralled pipe cleaner in an Altoids tin makes...
    www.metafilter.com/203065/the-wombles-could-not-be-reached-for-comment
    Tue Mar 26 00:45:32 UTC 2024
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  5. 3.2. Tuning the hyper-parameters of an estimato...

    tion import SelectKBest >>> pipe = Pipeline ([ ... ( 'select'...>>> search = GridSearchCV ( pipe , param_grid , cv = 5 ) . fit...
    scikit-learn.org/stable/modules/grid_search.html
    Thu Mar 28 16:05:59 UTC 2024
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  6. One-Class SVM versus One-Class SVM using Stocha...

    1e-4 ) pipe_sgd = make_pipeline ( transform , clf_sgd ) pipe_sgd...y_pred_train_sgd = pipe_sgd . predict ( X_train ) y_pred_test_sgd = pipe_sgd...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
    Thu Mar 28 16:05:59 UTC 2024
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  7. 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
    Thu Mar 28 16:05:58 UTC 2024
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  8. 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
    Thu Mar 28 16:05:57 UTC 2024
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  9. 6.1. Pipelines and composite estimators — sciki...

    SVC ())] >>> pipe = Pipeline ( estimators ) >>> pipe Pipeline(s...pipeline: >>> pipe . steps [ 0 ] ('reduce_dim', PCA()) >>> pipe [ 0 ]...
    scikit-learn.org/stable/modules/compose.html
    Thu Mar 28 16:05:58 UTC 2024
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  10. Displaying Pipelines — scikit-learn 1.4.1 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
    Thu Mar 28 16:05:57 UTC 2024
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