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Plot multi-class SGD on the iris dataset — scik...
Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented by the dashed lines. Total running time of the ...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
make_sparse_coded_signal — scikit-learn 1.7.2 d...
scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
Release Highlights for scikit-learn 1.4 — sciki...
Documentation for RandomForestClassifi...None One can access the documentation of the estimator by clicking...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Forecasting of CO2 level on Mona Loa dataset us...
Documentation for GaussianProcessRegre...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html -
A demo of K-Means clustering on the handwritten...
text documents using k-means Clustering text documents using...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.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