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Multiclass sparse logistic regression on 20newg...
logistic regression to classify documents from the newgroups20 dataset....scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html -
Curve Fitting with Bayesian Ridge Regression — ...
Computes a Bayesian Ridge Regression of Sinusoids. See Bayesian Ridge Regression for more information on the regressor. In general, when fitting a curve with a polynomial by Bayesian ridge regressi...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
sklearn.kernel_ridge — scikit-learn 1.7.0 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
make_swiss_roll — scikit-learn 1.7.0 documentation
Gallery examples: Hierarchical clustering: structured vs unstructured ward Swiss Roll And Swiss-Hole Reductionscikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
Ridge coefficients as a function of the L2 Regu...
A model that overfits learns the training data too well, capturing both the underlying patterns and the noise in the data. However, when applied to unseen data, the learned associations may not hol...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
SGD: convex loss functions — scikit-learn 1.7.0...
A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.092 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
permutation_test_score — scikit-learn 1.7.0 doc...
Gallery examples: Test with permutations the significance of a classification scorescikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
mean_poisson_deviance — scikit-learn 1.7.0 docu...
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Plotting Cross-Validated Predictions — scikit-l...
This example shows how to use cross_val_predict together with PredictionErrorDisplay to visualize prediction errors. We will load the diabetes dataset and create an instance of a linear regression ...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
Kernel Density Estimate of Species Distribution...
This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon the Haversine distance metric – i.e. distances over point...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html