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NotFittedError — scikit-learn 1.6.0 documentation
predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
sklearn.covariance — scikit-learn 1.7.dev0 docu...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/dev/api/sklearn.covariance.html -
sklearn.ensemble — scikit-learn 1.7.dev0 docume...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/dev/api/sklearn.ensemble.html -
sklearn.frozen — scikit-learn 1.7.dev0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version sklearn.frozen # FrozenEstimator Estimator that wraps...scikit-learn.org/dev/api/sklearn.frozen.html -
sklearn.calibration — scikit-learn 1.7.dev0 doc...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/dev/api/sklearn.calibration.html -
sklearn.dummy — scikit-learn 1.6.0 documentation
Dummy estimators that implement simple rules of thumb. User guide. See the Metrics and scoring: quantifying the quality of predictions section for further details.scikit-learn.org/stable/api/sklearn.dummy.html -
sklearn.tree — scikit-learn 1.6.0 documentation
Decision tree based models for classification and regression. User guide. See the Decision Trees section for further details. Exporting: Plotting:scikit-learn.org/stable/api/sklearn.tree.html -
sklearn.mixture — scikit-learn 1.6.0 documentation
Mixture modeling algorithms. User guide. See the Gaussian mixture models section for further details.scikit-learn.org/stable/api/sklearn.mixture.html -
sklearn.neighbors — scikit-learn 1.6.0 document...
The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.scikit-learn.org/stable/api/sklearn.neighbors.html -
Semi Supervised Classification — scikit-learn 1...
Examples concerning the sklearn.semi_supervised module. Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset Effect of varying threshold for self-training Label Propagati...scikit-learn.org/stable/auto_examples/semi_supervised/index.html