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QuantileTransformer — scikit-learn 1.5.2 docume...
Gallery examples: Partial Dependence and Individual Conditional Expectation Plots Effect of transforming the targets in regression model Compare the effect of different scalers on data with outlier...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
Testimonials — scikit-learn 1.5.2 documentation
Who is using scikit-learn?: J.P.Morgan: Scikit-learn is an indispensable part of the Python machine learning toolkit at JPMorgan. It is very widely used across all parts of the bank for classificat...scikit-learn.org/stable/testimonials/testimonials.html -
ShrunkCovariance — scikit-learn 1.5.2 documenta...
Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Model selection with Probabilistic PCA and Factor Analysis (FA)scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
CalibrationDisplay — scikit-learn 1.5.2 documen...
Gallery examples: Comparison of Calibration of Classifiers Probability Calibration curvesscikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html -
EfficiencyWarning — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub EfficiencyWarning # exception sklearn.exceptions. EfficiencyWarning ...scikit-learn.org/stable/modules/generated/sklearn.exceptions.EfficiencyWarning.html -
PrecisionRecallDisplay — scikit-learn 1.5.2 doc...
Gallery examples: Visualizations with Display Objects Precision-Recall Post-tuning the decision threshold for cost-sensitive learning Precision-Recall Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
FixedThresholdClassifier — scikit-learn 1.5.2 d...
Gallery examples: Release Highlights for scikit-learn 1.5 Post-tuning the decision threshold for cost-sensitive learningscikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
Faces recognition example using eigenfaces and ...
for machine learning we use the 2 data directly (as relative pixel...figure ( figsize = ( 1.8 * n_col , 2.4 * n_row )) plt . subplots_adjust...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Plot randomly generated classification dataset ...
n_features = 2 , n_redundant = 0 , n_informative = 2 , n_clusters_per_class...n_features = 2 , n_redundant = 0 , n_informative = 2 ) plt . scatter...scikit-learn.org/stable/auto_examples/datasets/plot_random_dataset.html -
sklearn.semi_supervised — scikit-learn 1.5.2 do...
Semi-supervised learning algorithms. These algorithms utilize small amounts of labeled data and large amounts of unlabeled data for classification tasks. User guide. See the Semi-supervised learnin...scikit-learn.org/stable/api/sklearn.semi_supervised.html