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  1. 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
    Fri Apr 26 16:41:50 UTC 2024
      10K bytes
     
  2. 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
    Fri Apr 26 16:41:48 UTC 2024
      30.2K bytes
      4 views
     
  3. 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
    Fri Apr 26 16:41:50 UTC 2024
      45.8K bytes
     
  4. 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
    Fri Apr 26 16:41:50 UTC 2024
      23.4K bytes
      2 views
     
  5. 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
    Fri Apr 26 16:41:50 UTC 2024
      91.9K bytes
     
  6. plot_release_highlights_1_4_0.rst.txt

    type: <class 'polars.dataframe.frame.DataFrame'> .. GENERATED...`set_output` ---------- scikit-learn's transformers now support polars...
    scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r...
    Fri Apr 26 16:41:51 UTC 2024
      40.9K bytes
     
  7. roadmap.rst.txt

    right now it's impossible to clone a `CalibratedClassifier`...
    scikit-learn.org/stable/_sources/roadmap.rst.txt
    Fri Apr 26 16:41:48 UTC 2024
      11.7K bytes
     
  8. neighbors.rst.txt

    valid_metrics ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...cs ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...
    scikit-learn.org/stable/_sources/modules/neighbors.rst.txt
    Fri Apr 26 16:41:51 UTC 2024
      37.8K bytes
     
  9. ensemble.rst.txt

    estimators=[('lr', clf1), ('rf', clf2), ('gnb', clf3)], ... voting='hard')...eclf], ['Logistic Regression', 'Random Forest', 'naive Bayes', 'Ensemble']):...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Fri Apr 26 16:41:51 UTC 2024
      68.4K bytes
     
  10. v1.4.rst.txt

    value dtype with `casting='same_kind'`. :pr:`28365` by :user:`Leo...estimator's `fit`, the scorer, and the CV splitter's `split`....
    scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt
    Fri Apr 26 16:41:51 UTC 2024
      47K bytes
     
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