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Results 81 - 90 of 602 for musk (0.11 sec)

  1. HistGradientBoostingClassifier — scikit-learn 1...

    Must be strictly greater than 1....reserved for missing values. Must be no larger than 255. categorical_features...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Thu May 08 11:40:28 UTC 2025
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  2. MinCovDet — scikit-learn 1.6.1 documentation

    The parameter must be in the range (0, 1]. random_state...ndarray of shape (n_samples,) A mask of the observations that have...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html
    Thu May 08 11:40:27 UTC 2025
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  3. VarianceThreshold — scikit-learn 1.6.1 document...

    input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html
    Thu May 08 11:40:28 UTC 2025
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  4. MissingIndicator — scikit-learn 1.6.1 documenta...

    default=’missing-only’ Whether the imputer mask should represent all or a subset...'missing-only' (default), the imputer mask will only represent features...
    scikit-learn.org/stable/modules/generated/sklearn.impute.MissingIndicator.html
    Thu May 08 11:40:27 UTC 2025
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  5. Tweedie regression on insurance claims — scikit...

    GammaRegressor mask_train = df_train [ "ClaimAmount" ] > 0 mask_test =...X_train [ mask_train . values ], df_train . loc [ mask_train ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Thu May 08 11:40:27 UTC 2025
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  6. SelectFwe — scikit-learn 1.6.1 documentation

    input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html
    Thu May 08 11:40:27 UTC 2025
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  7. SelectFdr — scikit-learn 1.6.1 documentation

    input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html
    Thu May 08 11:40:27 UTC 2025
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  8. SelectPercentile — scikit-learn 1.6.1 documenta...

    input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html
    Thu May 08 11:40:27 UTC 2025
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  9. ColumnTransformer — scikit-learn 1.6.1 document...

    ‘passthrough’} or estimator Estimator must support fit and transform ....remainder estimator. The estimator must support fit and transform ....
    scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html
    Thu May 08 11:40:27 UTC 2025
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  10. 6.4. Imputation of missing values — scikit-lear...

    >>> mask_all = indicator . fit_transform ( X ) >>> mask_all array([[...Missing values encoded by 0 must be used with dense input. The...
    scikit-learn.org/stable/modules/impute.html
    Thu May 08 11:40:27 UTC 2025
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