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2.7. Novelty and Outlier Detection — scikit-lea...
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [...Inliers are labeled 1, while outliers are labeled -1. The predict method...scikit-learn.org/stable/modules/outlier_detection.html -
Version 0.15 — scikit-learn 1.7.0 documentation
Ben-Meshulam 1 Yury V. Zaytsev 1 adrinjalali 1 ai8rahim 1 alemagnani 1 alex...jamestwebber 1 matrixorz 1 popo 1 samuela 1 François Boulogne 1 Alexander...scikit-learn.org/stable/whats_new/v0.15.html -
sklearn.datasets — scikit-learn 1.7.0 documenta...
make_friedman1 Generate the "Friedman #1" regression problem. make_friedman2...scikit-learn.org/stable/api/sklearn.datasets.html -
plot_release_highlights_1_7_0.ipynb
Release Highlights for scikit-learn 1.7\n\n.. currentmodule:: sklearn\n\nWe...announce the release of scikit-learn 1.7! Many bug fixes\nand improvements...scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0... -
2.6. Covariance estimation — scikit-learn 1.7.0...
1. Empirical covariance # The covariance...2.6.2. Shrunk Covariance # 2.6.2.1. Basic shrinkage # Despite being...scikit-learn.org/stable/modules/covariance.html -
export_graphviz — scikit-learn 1.7.0 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
graphical_lasso — scikit-learn 1.7.0 documentation
05 ) >>> emp_cov array([[ 1.687, 0.212, -0.209], [ 0.212,...scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html -
SVM Tie Breaking Example — scikit-learn 1.7.0 d...
1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Visualizing the probabilistic predictions of a ...
uniform ( low =- 1 , high = 1 , size = ( n_samples , 2...> 0 , xor [ "Feature #1" ] + noise [:, 1 ] > 0 ) X = xor [ feature_names...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
check_cv — scikit-learn 1.7.0 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html