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Isomap — scikit-learn 1.8.0 documentation
Gallery examples: Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Manifold Learning methods on a severed sphere Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
DecisionTreeClassifier — scikit-learn 1.8.0 doc...
Gallery examples: Classifier comparison Multi-class AdaBoosted Decision Trees Two-class AdaBoost Plot the decision surfaces of ensembles of trees on the iris dataset Demonstration of multi-metric e...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
top_k_accuracy_score — scikit-learn 1.8.0 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version top_k_accuracy_score # sklearn.metrics. top_k_accurac...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
mean_pinball_loss — scikit-learn 1.8.0 document...
Gallery examples: Lagged features for time series forecasting Prediction Intervals for Gradient Boosting Regression Features in Histogram Gradient Boosting Trees Release Highlights for scikit-learn...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
normalize — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version normalize # sklearn.preprocessing. normalize ( X , no...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
ExtraTreesRegressor — scikit-learn 1.8.0 docume...
Gallery examples: Face completion with a multi-output estimatorsscikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
AdaBoostClassifier — scikit-learn 1.8.0 documen...
Gallery examples: Classifier comparison Multi-class AdaBoosted Decision Trees Two-class AdaBoost Plot the decision surfaces of ensembles of trees on the iris datasetscikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
TransformerMixin — scikit-learn 1.8.0 documenta...
Gallery examples: Metadata Routing Approximate nearest neighbors in TSNEscikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
Birch — scikit-learn 1.8.0 documentation
Gallery examples: Compare BIRCH and MiniBatchKMeans Comparing different clustering algorithms on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
LabelBinarizer — scikit-learn 1.8.0 documentation
Gallery examples: Multiclass Receiver Operating Characteristic (ROC)scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html