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add_dummy_feature — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
sklearn.model_selection — scikit-learn 1.7.2 do...
Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...scikit-learn.org/stable/api/sklearn.model_selection.html -
paired_cosine_distances — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_cosine_distances # sklearn.metrics.pairwise. p...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html -
mutual_info_score — scikit-learn 1.7.2 document...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
sklearn.feature_selection — scikit-learn 1.7.2 ...
Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.scikit-learn.org/stable/api/sklearn.feature_selection.html -
fetch_lfw_people — scikit-learn 1.7.2 documenta...
Gallery examples: Faces recognition example using eigenfaces and SVMsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
get_data_home — scikit-learn 1.7.2 documentation
Gallery examples: Out-of-core classification of text documentsscikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html -
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Decision Boundaries of Multinomial and One-vs-R...
2 ], [ - 0.4 , 1.2 ]] X = np . dot ( X ,..."Feature 1" , ylabel = "Feature 2" ) _ = ax . legend ( * scatter...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Topic extraction with Non-negative Matrix Facto...
done in 2.027s. # Authors: The scikit-learn...fig , axes = plt . subplots ( 2 , 5 , figsize = ( 30 , 15 ), sharex...scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html