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  1. plot_multi_metric_evaluation.rst.txt

    in ``'_<scorer_name>'`` (``'mean_test_precision'``, ``'rank_test_precision'``,...make_scorer(accuracy_score)} # Setting refit='AUC', refits an estimator on the...
    scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt
    Thu Mar 21 12:24:56 UTC 2024
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  2. linear_model.rst.txt

    | **'lbfgs'** | **'liblinear'** | **'newton-cg'** | **'newton-cholesky'**...**'newton-cholesky'** | **'sag'** | **'saga'** | +--------- | Multinomial...
    scikit-learn.org/stable/_sources/modules/linear_model.rst.txt
    Tue Mar 26 15:09:54 UTC 2024
      77.9K bytes
      7 views
     
  3. governance.rst.txt

    that takes place on the project's private mailing list. While it...pull requests in scikit-learn's repository. Maintainers ~~~~~~~~~~...
    scikit-learn.org/stable/_sources/governance.rst.txt
    Wed Mar 27 16:42:10 UTC 2024
      10K bytes
     
  4. about.rst.txt

    core contributors to scikit-learn's development and maintenance:...issues. Instead, please see `What's the best way to ask questions...
    scikit-learn.org/stable/_sources/about.rst.txt
    Mon Mar 25 23:07:12 UTC 2024
      16.5K bytes
      2 views
     
  5. model_evaluation.rst.txt

    terms ''positive'' and ''negative'' refer to the classifier's prediction,...prediction, and the terms ''true'' and ''false'' refer to whether that...
    scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      118.5K bytes
      2 views
     
  6. cross_validation.rst.txt

    keys()) ['estimator', 'fit_time', 'score_time', 'test_score'] Obtaining...sorted(scores.keys()) ['fit_time', 'score_time', 'test_precision_macro', 'test_recall_macro']...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      39.9K bytes
      6 views
     
  7. plot_discretization_strategies.rst.txt

    strategy='uniform', strategy='quantile', strategy='kmeans' :srcset:...implemented in KBinsDiscretizer: - 'uniform': The discretization is uniform...
    scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      5.6K bytes
     
  8. feature_selection.rst.txt

    : clf = Pipeline([ ('feature_selection', SelectFromModel(LinearSVC(dual="auto",...o", penalty="l1"))), ('classification', RandomForestClassifi())...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      14.3K bytes
      1 views
     
  9. index.rst.txt

    Learning Curves and Checking Models' Scalability</div> </div> .. raw::...class="sphx-glr-thumbnail-title">Target Encoder's Internal Cross fitting</div>...
    scikit-learn.org/stable/_sources/auto_examples/index.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      144.7K bytes
      5 views
     
  10. feature_extraction.rst.txt

    () array([' w', 'ds', 'or', 'pr', 'rd', 's ', 'wo', 'wp'], ...)...array(['and', 'document', 'first', 'is', 'one', 'second', 'the',...
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  11. support.rst.txt

    Older versions' printable PDF documentation is...
    scikit-learn.org/stable/_sources/support.rst.txt
    Wed Mar 27 16:42:10 UTC 2024
      2.9K bytes
     
  12. classes.rst.txt

    SGDRegressor` with ``loss='huber'``. .. autosummary:: :toctree:...
    scikit-learn.org/stable/_sources/modules/classes.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  13. preprocessing.rst.txt

    ['female', 'Europe', 'Firefox'], ... ['female', 'Asia', 'Chrome']]...X = [['male', 'from US', 'uses Safari'], ['female', 'from Europe',...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  14. grid_search.rst.txt

    = [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...e=.1), 'kernel': ['rbf'], 'class_weight':['balanced', None]}...
    scikit-learn.org/stable/_sources/modules/grid_search.rst.txt
    Wed Mar 27 16:42:10 UTC 2024
      33K bytes
      2 views
     
  15. glossary.rst.txt

    of ['no', 'yes'], 'yes' is the positive class; of ['no', 'YES'],...... param_grid={'loss': ['log_loss', 'hinge']}) This means that...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Tue Mar 26 15:09:58 UTC 2024
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      1 views
     
  16. getting_started.rst.txt

    param_distributions = {'n_estimators': randint(1, 5), ... 'max_depth': randint(5,...param_distributions={'max_depth': ..., 'n_estimators': ...}, random_state=0)...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  17. testimonials.rst.txt

    I think it's the most well-designed ML package I've seen so far....in the lead's tenure on our site. Also, our users' profiles consist...
    scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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      4 views
     
  18. decomposition.rst.txt

    Descent ('cd') [5]_, and Multiplicative Update ('mu') [6]_. The...optional parameter ``svd_solver='randomized'`` is very useful in that...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  19. faq.rst.txt

    need to specify algorithm='brute' as the default assumes >>>...eps=5, min_samples=2, algorithm='brute') # doctest: +SKIP (array([0,...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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      2 views
     
  20. clustering.rst.txt

    Their 'sqrt' and 'sum' averages are the geometric...s(i, k) - max [ a(i, k') + s(i, k') \forall k' \neq k ] Where :math:`s(i,...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      91.9K bytes
     
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