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Multiclass Receiver Operating Characteristic (R...
This can be done in 2 different ways: the One-vs-Rest...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
parallel_backend — scikit-learn 1.5.2 documenta...
Skip to main content Back to top Ctrl + K GitHub parallel_backend # class sklearn.utils. parallel_backend ( * args , ...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel_backend.html -
export_graphviz — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub export_graphviz # sklearn.tree. export_graphviz ( decision_tree , ou...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
cosine_distances — scikit-learn 1.5.2 documenta...
Skip to main content Back to top Ctrl + K GitHub cosine_distances # sklearn.metrics.pairwise. cosine_distances ( X , ...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html -
Working with text documents — scikit-learn 1.5....
Examples concerning the sklearn.feature_extraction.text module. Classification of text documents using sparse features Clustering text documents using k-means FeatureHasher and DictVectorizer Compa...scikit-learn.org/stable/auto_examples/text/index.html -
fetch_rcv1 — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub fetch_rcv1 # sklearn.datasets. fetch_rcv1 ( * , data_home = None , s...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html -
check_estimator — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub check_estimator # sklearn.utils.estimator_checks. check_estimator ( ...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
sklearn.base — scikit-learn 1.5.2 documentation
Base classes for all estimators and various utility functions.scikit-learn.org/stable/api/sklearn.base.html -
sklearn.compose — scikit-learn 1.5.2 documentation
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html -
sklearn.impute — scikit-learn 1.5.2 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html