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Results 441 - 450 of 498 for musk (0.21 sec)

  1. LinearSVR — scikit-learn 1.7.2 documentation

    Must be strictly positive. loss ...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Fri Sep 12 13:34:49 UTC 2025
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  2. Elastic Cloud Serverless: A deep dive into auto...

    where users must provision and manage hardware...
    www.elastic.co/search-labs/blog/elastic-serverless-performance-stress-testing
    Tue Sep 16 01:46:19 UTC 2025
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  3. GaussianNB — scikit-learn 1.7.2 documentation

    Must be provided at the first call...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html
    Fri Sep 12 13:34:53 UTC 2025
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  4. 3.1. Cross-validation: evaluating estimator per...

    such as the C setting that must be manually set for an SVM,...the data. If class proportions must be balanced across folds, StratifiedGroupKFold...
    scikit-learn.org/stable/modules/cross_validation.html
    Fri Sep 12 13:34:55 UTC 2025
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  5. Version 0.20 — scikit-learn 1.7.2 documentation

    list of arrays containing the mask of the samples selected for...allows to repeat samples while mask does not allow this functionality....
    scikit-learn.org/stable/whats_new/v0.20.html
    Fri Sep 12 13:34:55 UTC 2025
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  6. Elastic (ELK) Stack features list | Elastic

    snapshot targets must also ensure that data is encrypted...In addition, snapshot targets must also ensure that data is encrypted...
    www.elastic.co/elastic-stack/features
    Tue Sep 16 01:31:49 UTC 2025
      872.7K bytes
      2 views
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  7. MiniBatchNMF — scikit-learn 1.7.2 documentation

    custom matrices W and H which must both be provided. batch_size...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html
    Fri Sep 12 13:34:55 UTC 2025
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  8. StackingRegressor — scikit-learn 1.7.2 document...

    then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Fri Sep 12 13:34:55 UTC 2025
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  9. auto_examples_jupyter.zip

    = a_mask[ab_mask]\n b_true = b_mask[ab_mask]\n\n idx_a = np....res = np.logical_and(mask > mask.mean(), mask_outer)\n return np.logical_xor(res,...
    scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
    Fri Sep 12 13:34:55 UTC 2025
      2.2M bytes
      2 views
     
  10. OneHotEncoder — scikit-learn 1.7.2 documentation

    then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
    Fri Sep 12 13:34:55 UTC 2025
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