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clear_data_home — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub clear_data_home # sklearn.datasets. clear_data_home ( data_home = No...scikit-learn.org/stable/modules/generated/sklearn.datasets.clear_data_home.html -
sklearn.cross_decomposition — scikit-learn 1.5....
Algorithms for cross decomposition. User guide. See the Cross decomposition section for further details.scikit-learn.org/stable/api/sklearn.cross_decomposition.html -
Scalable learning with polynomial kernel approx...
This example illustrates the use of PolynomialCountSketch to efficiently generate polynomial kernel feature-space approximations. This is used to train linear classifiers that approximate the accur...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
cluster_optics_dbscan — scikit-learn 1.5.2 docu...
Gallery examples: Demo of OPTICS clustering algorithmscikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
Using KBinsDiscretizer to discretize continuous...
The example compares prediction result of linear regression (linear model) and decision tree (tree based model) with and without discretization of real-valued features. As is shown in the result be...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
make_spd_matrix — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub make_spd_matrix # sklearn.datasets. make_spd_matrix ( n_dim , * , ra...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_spd_matrix.html -
sklearn.discriminant_analysis — scikit-learn 1....
Linear and quadratic discriminant analysis. User guide. See the Linear and Quadratic Discriminant Analysis section for further details.scikit-learn.org/stable/api/sklearn.discriminant_analysis.html -
L1 Penalty and Sparsity in Logistic Regression ...
Comparison of the sparsity (percentage of zero coefficients) of solutions when L1, L2 and Elastic-Net penalty are used for different values of C. We can see that large values of C give more freedom...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Non-negative least squares — scikit-learn 1.5.2...
In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
make_column_selector — scikit-learn 1.5.2 docum...
Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Evaluation of outlier detection estimators Column Transformer with Mixed Typesscikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html