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LeavePOut — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version LeavePOut # class sklearn.model_selection. LeavePOut ...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
sigmoid_kernel — scikit-learn 1.7.2 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version sigmoid_kernel # sklearn.metrics.pairwise. sigmoid_ke...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
Compressive sensing: tomography reconstruction ...
This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such a dataset is acquired in computed tomography(CT). Without any prior infor...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
Single estimator versus bagging: bias-variance ...
This example illustrates and compares the bias-variance decomposition of the expected mean squared error of a single estimator against a bagging ensemble. In regression, the expected mean squared e...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Illustration of prior and posterior Gaussian pr...
This example illustrates the prior and posterior of a GaussianProcessRegressor with different kernels. Mean, standard deviation, and 5 samples are shown for both prior and posterior distributions. ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Fitting an Elastic Net with a precomputed Gram ...
see the documentation for the sample_weight parameter...nbviewer.org. ElasticNet ? Documentation for ElasticNet i Fitted...scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_... -
sklearn.preprocessing — scikit-learn 1.7....
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.scikit-learn.org/stable/api/sklearn.preprocessing.html -
Getting Started — scikit-learn 1.7.2 docu...
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, mo...scikit-learn.org/stable/getting_started.html -
5. Inspection — scikit-learn 1.7.2 docume...
Predictive performance is often the main goal of developing machine learning models. Yet summarizing performance with an evaluation metric is often insufficient: it assumes that the evaluation metr...scikit-learn.org/stable/inspection.html -
Quantile regression — scikit-learn 1.7.2 ...
This example illustrates how quantile regression can predict non-trivial conditional quantiles. The left figure shows the case when the error distribution is normal, but has non-constant variance, ...scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html