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label_binarize — scikit-learn 1.5.2 documentation
Gallery examples: Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
randomized_svd — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub randomized_svd # sklearn.utils.extmath. randomized_svd ( M , n_compo...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
safe_mask — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub safe_mask # sklearn.utils. safe_mask ( X , mask ) [source] # Return ...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
power_transform — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub power_transform # sklearn.preprocessing. power_transform ( X , metho...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
gen_batches — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub gen_batches # sklearn.utils. gen_batches ( n , batch_size , * , min_...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
Gradient Boosting regression — scikit-learn 1.5...
This example demonstrates Gradient Boosting to produce a predictive model from an ensemble of weak predictive models. Gradient boosting can be used for regression and classification problems. Here,...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Generalized Linear Models — scikit-learn 1.5.2 ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Comparing various online solvers Curve Fitting with Bayesian Ridge Regression Early stopping of Stochastic ...scikit-learn.org/stable/auto_examples/linear_model/index.html -
Nearest Centroid Classification — scikit-learn ...
Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class.,., Total running time of the script:(0 minutes 0.156 seconds) Launch binder Launch JupyterLite ...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Polynomial and Spline interpolation — scikit-le...
This example demonstrates how to approximate a function with polynomials up to degree degree by using ridge regression. We show two different ways given n_samples of 1d points x_i: PolynomialFeatur...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Recursive feature elimination — scikit-learn 1....
This example demonstrates how Recursive Feature Elimination ( RFE) can be used to determine the importance of individual pixels for classifying handwritten digits. RFE recursively removes the least...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html