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Results 21 - 30 of 136 for pipe (0.11 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
    Tue Apr 23 17:07:46 UTC 2024
      60.7K bytes
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  2. 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
    Mon Apr 22 18:12:49 UTC 2024
      47.5K bytes
      1 views
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  3. auto_examples_python.zip

    pipe.set_params(max_depth=3, max_iter=15) else: pipe.set_params(...tol=1e-4 ) pipe_sgd = make_pipeline(transform, clf_sgd) pipe_sgd.fit(X_train)...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    Tue Apr 23 17:07:45 UTC 2024
      1.6M bytes
      3 views
     
  4. 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
    Tue Apr 23 17:07:45 UTC 2024
      56.4K bytes
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  5. 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
    Tue Apr 23 17:07:46 UTC 2024
      40K bytes
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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 Apr 22 14:06:27 UTC 2024
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  7. Introducing the set_output API — scikit-learn 1...

    transform_output = "pandas" ) num_pipe = make_pipeline ( SimpleImputer...ColumnTransformer ( ( ( "numerical" , num_pipe , num_cols ), ( "categorical"...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html
    Tue Apr 23 17:07:45 UTC 2024
      77K bytes
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  8. sklearn.preprocessing.scale — scikit-learn 1.4....

    most risks of data leaking: pipe = make_pipeline(StandardScaler(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Tue Apr 23 17:07:46 UTC 2024
      21.2K bytes
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  9. sklearn.preprocessing.maxabs_scale — scikit-lea...

    most risks of data leaking: pipe = make_pipeline(MaxAbsScaler(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html
    Tue Apr 23 17:07:45 UTC 2024
      19.5K bytes
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  10. Elasticsearch: The Official Distributed Search ...

    and from a piped query language. Start simple...
    www.elastic.co/elasticsearch
    Wed Apr 24 00:03:32 UTC 2024
      720.6K bytes
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