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governance.rst.txt
a proposal must have been made public and discussed...before the vote. Such proposal must be a consolidated document,...scikit-learn.org/stable/_sources/governance.rst.txt -
linear_model.rst.txt
that all class probabilities must sum to one. We deliberately...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
feature_selection.rst.txt
the design matrix must display certain specific properties,...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
cross_validation.rst.txt
such as the ``C`` setting that must be manually set for an SVM,...the data. If class proportions must be balanced across folds, :...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
model_evaluation.rst.txt
to tasks in which predictions must assign probabilities to a set...tuning. The sign of the loss must be switched to ensure that greater...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
feature_extraction.rst.txt
their bytes must be *decoded* to a character...(not shipped with scikit-learn, must be installed separately) to...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
ensemble.rst.txt
a boolean mask can be passed to the `categorical_features`...of each categorical feature must be less than the `max_bins`...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
neighbors.rst.txt
which must be one of ``['auto', 'ball_tree',...neighborhood), at least k neighbors must be stored in each row (or k+1,...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
v1.4.rst.txt
number of (unique) categories must be smaller than `max_bins`....scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt -
glossary.rst.txt
and that we must be careful to make :term:`meta-estimators`...data. Intrinsically, the model must be usable for prediction after...scikit-learn.org/stable/_sources/glossary.rst.txt