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linear_model.rst.txt
``y`` and will store the coefficients :math:`w` of...arrays ``X``, ``y`` and will store the coefficients :math:`w` of...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
plot_multi_metric_evaluation.rst.txt
sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...: range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
model_evaluation.rst.txt
ion_score` 'neg_brier_score' :func:`metrics.brier_score_loss`...l_info_score` 'rand_score' :func:`metrics.rand_score` 'v_measure_score'...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
cross_validation.rst.txt
>>> scores = cross_val_score(clf, X, y, cv=5) >>> scores array([0.96...,...>>> scores = cross_val_score( ... clf, X, y, cv=5, scoring='f1_macro')...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
feature_selection.rst.txt
input a scoring function that returns univariate scores and p-values...provide a `score_func` where `y=None`. The `score_func` should...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
index.rst.txt
see the training scores and validation scores of an SVM for different...complexity and cross-validated score by finding a decent accuracy...scikit-learn.org/stable/_sources/auto_examples/index.rst.txt -
glossary.rst.txt
inlier score where outliers have score below 0. :term:`score_samples`...from the :term:`score` method and the :term:`scoring` API used in...scikit-learn.org/stable/_sources/glossary.rst.txt -
feature_extraction.rst.txt
features need not be stored) and storing feature names in addition...'<... 'numpy.float64'>' with 6 stored elements in Compressed Sparse...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
decomposition.rst.txt
:class:`IncrementalPCA` only stores estimates of component and...the matrix W. The matrix H is stored into the fitted model in the...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
faq.rst.txt
scikit-learn works on any numeric data stored as numpy arrays or scipy sparse...:class:`~model_selection.cross_val_score` rely internally on Python's...scikit-learn.org/stable/_sources/faq.rst.txt