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Results 11 - 20 of 71 for pipe (0.09 sec)

  1. 6.3. Preprocessing data — scikit-learn 1.5.0 do...

    random_state = 42 ) >>> pipe = make_pipeline ( StandardScaler...(), LogisticRegression ()) >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/modules/preprocessing.html
    Mon Jun 10 22:40:13 UTC 2024
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  2. 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
    Mon Jun 10 22:40:15 UTC 2024
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  3. Replace Splunk with Elastic for logs, security,...

    language ES|QL is Elastic's piped query language and engine that...JSON-based DSL queries. Splunk's piped query language, SPL, allows...
    www.elastic.co/splunk-replacement
    Tue Jun 11 00:54:32 UTC 2024
      520.1K bytes
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  4. Elasticsearch Labs Blog — Elastic Search Labs

    • 5 June 2024 Elasticsearch piped query language, ES|QL, now generally...investigations with an innovative piped query language powered by a...
    www.elastic.co/search-labs/blog
    Tue Jun 11 00:57:53 UTC 2024
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  5. 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
    Mon Jun 10 22:40:15 UTC 2024
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  6. 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 Jun 10 22:40:15 UTC 2024
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  7. 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
    Mon Jun 10 22:40:14 UTC 2024
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  8. 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
    Mon Jun 10 22:40:15 UTC 2024
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  9. Getting Started — scikit-learn 1.5.0 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
    Mon Jun 10 22:40:13 UTC 2024
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  10. 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
    Mon Jun 10 22:40:13 UTC 2024
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