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ROC Curve with Visualization API — scikit-learn...
Documentation for SVC i Fitted Parameters...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
MiniBatchKMeans — scikit-learn 1.7.2 documentation
text documents using k-means Clustering text documents using...Gallery examples # Biclustering documents with the Spectral Co-clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
Column Transformer with Mixed Types — scikit-le...
Documentation for Pipeline i Fitted Parameters...preprocessor: ColumnTransformer ? Documentation for preprocessor: ColumnTransformer...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html -
randomized_range_finder — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version randomized_range_finder # sklearn.utils.extmath. rand...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html -
Online learning of a dictionary of parts of fac...
This example uses a large dataset of faces to learn a set of 20 x 20 images patches that constitute faces. From the programming standpoint, it is interesting because it shows how to use the online ...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
Non-negative least squares — scikit-learn 1.7.2...
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 -
Segmenting the picture of greek coins in region...
This example uses Spectral clustering on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions. This procedure (spectral clustering...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.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 -
lars_path_gram — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version lars_path_gram # sklearn.linear_model. lars_path_gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
Simple 1D Kernel Density Estimation — scikit-le...
This example uses the KernelDensity class to demonstrate the principles of Kernel Density Estimation in one dimension. The first plot shows one of the problems with using histograms to visualize th...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html