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repo stringlengths 7 90	file_url stringlengths 81 315	file_path stringlengths 4 228	content stringlengths 0 32.8k	language stringclasses 1 value	license stringclasses 7 values	commit_sha stringlengths 40 40	retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18	truncated bool 2 classes
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_kmeans_assumptions.py	examples/cluster/plot_kmeans_assumptions.py	""" ==================================== Demonstration of k-means assumptions ==================================== This example is meant to illustrate situations where k-means produces unintuitive and possibly undesirable clusters. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause #...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_kmeans_digits.py	examples/cluster/plot_kmeans_digits.py	""" =========================================================== A demo of K-Means clustering on the handwritten digits data =========================================================== In this example we compare the various initialization strategies for K-means in terms of runtime and quality of the results. As the gr...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_birch_vs_minibatchkmeans.py	examples/cluster/plot_birch_vs_minibatchkmeans.py	""" ================================= Compare BIRCH and MiniBatchKMeans ================================= This example compares the timing of BIRCH (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 25,000 samples and 2 features generated using make_blobs. Both ``MiniBatch...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_face_compress.py	examples/cluster/plot_face_compress.py	""" =========================== Vector Quantization Example =========================== This example shows how one can use :class:`~sklearn.preprocessing.KBinsDiscretizer` to perform vector quantization on a set of toy image, the raccoon face. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_agglomerative_clustering_metrics.py	examples/cluster/plot_agglomerative_clustering_metrics.py	""" Agglomerative clustering with different metrics =============================================== Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can be seen as high-dimens...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_dbscan.py	examples/cluster/plot_dbscan.py	""" =================================== Demo of DBSCAN clustering algorithm =================================== DBSCAN (Density-Based Spatial Clustering of Applications with Noise) finds core samples in regions of high density and expands clusters from them. This algorithm is good for data which contains clusters of s...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_adjusted_for_chance_measures.py	examples/cluster/plot_adjusted_for_chance_measures.py	""" ========================================================== Adjustment for chance in clustering performance evaluation ========================================================== This notebook explores the impact of uniformly-distributed random labeling on the behavior of some clustering evaluation metrics. For such ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_coin_segmentation.py	examples/cluster/plot_coin_segmentation.py	""" ================================================ Segmenting the picture of greek coins in regions ================================================ This example uses :ref:`spectral_clustering` on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions....	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_cluster_comparison.py	examples/cluster/plot_cluster_comparison.py	""" ========================================================= Comparing different clustering algorithms on toy datasets ========================================================= This example shows characteristics of different clustering algorithms on datasets that are "interesting" but still in 2D. With the exception ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py	examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py	""" ============================================== Feature agglomeration vs. univariate selection ============================================== This example compares 2 dimensionality reduction strategies: - univariate feature selection with Anova - feature agglomeration with Ward hierarchical clustering Both metho...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_kernel_pca.py	examples/decomposition/plot_kernel_pca.py	""" ========== Kernel PCA ========== This example shows the difference between the Principal Components Analysis (:class:`~sklearn.decomposition.PCA`) and its kernelized version (:class:`~sklearn.decomposition.KernelPCA`). On the one hand, we show that :class:`~sklearn.decomposition.KernelPCA` is able to find a proje...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_sparse_coding.py	examples/decomposition/plot_sparse_coding.py	""" =========================================== Sparse coding with a precomputed dictionary =========================================== Transform a signal as a sparse combination of Ricker wavelets. This example visually compares different sparse coding methods using the :class:`~sklearn.decomposition.SparseCoder` est...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_pca_vs_fa_model_selection.py	examples/decomposition/plot_pca_vs_fa_model_selection.py	""" =============================================================== Model selection with Probabilistic PCA and Factor Analysis (FA) =============================================================== Probabilistic PCA and Factor Analysis are probabilistic models. The consequence is that the likelihood of new data can be u...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_image_denoising.py	examples/decomposition/plot_image_denoising.py	""" ========================================= Image denoising using dictionary learning ========================================= An example comparing the effect of reconstructing noisy fragments of a raccoon face image using firstly online :ref:`DictionaryLearning` and various transform methods. The dictionary is fi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_varimax_fa.py	examples/decomposition/plot_varimax_fa.py	""" =============================================================== Factor Analysis (with rotation) to visualize patterns =============================================================== Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less red...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_faces_decomposition.py	examples/decomposition/plot_faces_decomposition.py	""" ============================ Faces dataset decompositions ============================ This example applies to :ref:`olivetti_faces_dataset` different unsupervised matrix decomposition (dimension reduction) methods from the module :mod:`sklearn.decomposition` (see the documentation chapter :ref:`decompositions`). ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_ica_vs_pca.py	examples/decomposition/plot_ica_vs_pca.py	""" ========================== FastICA on 2D point clouds ========================== This example illustrates visually in the feature space a comparison by results using two different component analysis techniques. :ref:`ICA` vs :ref:`PCA`. Representing ICA in the feature space gives the view of 'geometric ICA': ICA...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_pca_vs_lda.py	examples/decomposition/plot_pca_vs_lda.py	""" ======================================================= Comparison of LDA and PCA 2D projection of Iris dataset ======================================================= The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width, petal length a...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_pca_iris.py	examples/decomposition/plot_pca_iris.py	""" ================================================== Principal Component Analysis (PCA) on Iris Dataset ================================================== This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the `Iris dataset <https://en.wikipedia.org/wiki/Iris_flowe...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_incremental_pca.py	examples/decomposition/plot_incremental_pca.py	""" =============== Incremental PCA =============== Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit in memory. IPCA builds a low-rank approximation for the input data using an amount of memo...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/decomposition/plot_ica_blind_source_separation.py	examples/decomposition/plot_ica_blind_source_separation.py	""" ===================================== Blind source separation using FastICA ===================================== An example of estimating sources from noisy data. :ref:`ICA` is used to estimate sources given noisy measurements. Imagine 3 instruments playing simultaneously and 3 microphones recording the mixed si...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/bicluster/plot_spectral_biclustering.py	examples/bicluster/plot_spectral_biclustering.py	""" ============================================= A demo of the Spectral Biclustering algorithm ============================================= This example demonstrates how to generate a checkerboard dataset and bicluster it using the :class:`~sklearn.cluster.SpectralBiclustering` algorithm. The spectral biclustering a...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/bicluster/plot_bicluster_newsgroups.py	examples/bicluster/plot_bicluster_newsgroups.py	""" ================================================================ Biclustering documents with the Spectral Co-clustering algorithm ================================================================ This example demonstrates the Spectral Co-clustering algorithm on the twenty newsgroups dataset. The 'comp.os.ms-windows...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/bicluster/plot_spectral_coclustering.py	examples/bicluster/plot_spectral_coclustering.py	""" ============================================== A demo of the Spectral Co-Clustering algorithm ============================================== This example demonstrates how to generate a dataset and bicluster it using the Spectral Co-Clustering algorithm. The dataset is generated using the ``make_biclusters`` funct...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/developing_estimators/sklearn_is_fitted.py	examples/developing_estimators/sklearn_is_fitted.py	""" ======================================== `__sklearn_is_fitted__` as Developer API ======================================== The `__sklearn_is_fitted__` method is a convention used in scikit-learn for checking whether an estimator object has been fitted or not. This method is typically implemented in custom estimato...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/multiclass/plot_multiclass_overview.py	examples/multiclass/plot_multiclass_overview.py	""" =============================================== Overview of multiclass training meta-estimators =============================================== In this example, we discuss the problem of classification when the target variable is composed of more than two classes. This is called multiclass classification. In scik...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_compare_methods.py	examples/manifold/plot_compare_methods.py	""" ========================================= Comparison of Manifold Learning methods ========================================= An illustration of dimensionality reduction on the S-curve dataset with various manifold learning methods. For a discussion and comparison of these algorithms, see the :ref:`manifold module ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_mds.py	examples/manifold/plot_mds.py	""" ========================= Multi-dimensional scaling ========================= An illustration of the metric and non-metric MDS on generated noisy data. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause # %% # Dataset preparation # ------------------- # # We start by uniformly ge...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_t_sne_perplexity.py	examples/manifold/plot_t_sne_perplexity.py	""" ============================================================================= t-SNE: The effect of various perplexity values on the shape ============================================================================= An illustration of t-SNE on the two concentric circles and the S-curve datasets for different perpl...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_lle_digits.py	examples/manifold/plot_lle_digits.py	""" ============================================================================= Manifold learning on handwritten digits: Locally Linear Embedding, Isomap... ============================================================================= We illustrate various embedding techniques on the digits dataset. """ # Authors:...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_swissroll.py	examples/manifold/plot_swissroll.py	""" =================================== Swiss Roll And Swiss-Hole Reduction =================================== This notebook seeks to compare two popular non-linear dimensionality techniques, T-distributed Stochastic Neighbor Embedding (t-SNE) and Locally Linear Embedding (LLE), on the classic Swiss Roll dataset. Then...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/manifold/plot_manifold_sphere.py	examples/manifold/plot_manifold_sphere.py	""" ============================================= Manifold Learning methods on a severed sphere ============================================= An application of the different :ref:`manifold` techniques on a spherical data-set. Here one can see the use of dimensionality reduction in order to gain some intuition regardin...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/text/plot_document_clustering.py	examples/text/plot_document_clustering.py	""" ======================================= Clustering text documents using k-means ======================================= This is an example showing how the scikit-learn API can be used to cluster documents by topics using a `Bag of Words approach <https://en.wikipedia.org/wiki/Bag-of-words_model>`_. Two algorithms...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/text/plot_hashing_vs_dict_vectorizer.py	examples/text/plot_hashing_vs_dict_vectorizer.py	""" =========================================== FeatureHasher and DictVectorizer Comparison =========================================== In this example we illustrate text vectorization, which is the process of representing non-numerical input data (such as dictionaries or text documents) as vectors of real numbers. W...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/text/plot_document_classification_20newsgroups.py	examples/text/plot_document_classification_20newsgroups.py	""" ====================================================== Classification of text documents using sparse features ====================================================== This is an example showing how scikit-learn can be used to classify documents by topics using a `Bag of Words approach <https://en.wikipedia.org/wiki/...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_custom_kernel.py	examples/svm/plot_custom_kernel.py	""" ====================== SVM with custom kernel ====================== Simple usage of Support Vector Machines to classify a sample. It will plot the decision surface and the support vectors. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import matplotlib.pyplot as plt import ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_anova.py	examples/svm/plot_svm_anova.py	""" ================================================= SVM-Anova: SVM with univariate feature selection ================================================= This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_separating_hyperplane_unbalanced.py	examples/svm/plot_separating_hyperplane_unbalanced.py	""" ================================================= SVM: Separating hyperplane for unbalanced classes ================================================= Find the optimal separating hyperplane using an SVC for classes that are unbalanced. We first find the separating plane with a plain SVC and then plot (dashed) the ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_rbf_parameters.py	examples/svm/plot_rbf_parameters.py	""" ================== RBF SVM parameters ================== This example illustrates the effect of the parameters ``gamma`` and ``C`` of the Radial Basis Function (RBF) kernel SVM. Intuitively, the ``gamma`` parameter defines how far the influence of a single training example reaches, with low values meaning 'far' a...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_oneclass.py	examples/svm/plot_oneclass.py	""" ========================================== One-class SVM with non-linear kernel (RBF) ========================================== An example using a one-class SVM for novelty detection. :ref:`One-class SVM <svm_outlier_detection>` is an unsupervised algorithm that learns a decision function for novelty detection: ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_weighted_samples.py	examples/svm/plot_weighted_samples.py	""" ===================== SVM: Weighted samples ===================== Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means that the classifier puts more emphasis on getting these points right. The effect might ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_tie_breaking.py	examples/svm/plot_svm_tie_breaking.py	""" ========================================================= SVM Tie Breaking Example ========================================================= Tie breaking is costly if ``decision_function_shape='ovr'``, and therefore it is not enabled by default. This example illustrates the effect of the ``break_ties`` parameter fo...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_margin.py	examples/svm/plot_svm_margin.py	""" ========================================================= SVM Margins Example ========================================================= The plots below illustrate the effect the parameter `C` has on the separation line. A large value of `C` basically tells our model that we do not have that much faith in our data's...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_kernels.py	examples/svm/plot_svm_kernels.py	""" ========================================================= Plot classification boundaries with different SVM Kernels ========================================================= This example shows how different kernels in a :class:`~sklearn.svm.SVC` (Support Vector Classifier) influence the classification boundaries in...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_scale_c.py	examples/svm/plot_svm_scale_c.py	r""" ============================================== Scaling the regularization parameter for SVCs ============================================== The following example illustrates the effect of scaling the regularization parameter when using :ref:`svm` for :ref:`classification <svm_classification>`. For SVC classificat...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_separating_hyperplane.py	examples/svm/plot_separating_hyperplane.py	""" ========================================= SVM: Maximum margin separating hyperplane ========================================= Plot the maximum margin separating hyperplane within a two-class separable dataset using a Support Vector Machine classifier with linear kernel. """ # Authors: The scikit-learn developers...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_svm_regression.py	examples/svm/plot_svm_regression.py	""" =================================================================== Support Vector Regression (SVR) using linear and non-linear kernels =================================================================== Toy example of 1D regression using linear, polynomial and RBF kernels. """ # Authors: The scikit-learn develo...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_linearsvc_support_vectors.py	examples/svm/plot_linearsvc_support_vectors.py	""" ===================================== Plot the support vectors in LinearSVC ===================================== Unlike SVC (based on LIBSVM), LinearSVC (based on LIBLINEAR) does not provide the support vectors. This example demonstrates how to obtain the support vectors in LinearSVC. """ # Authors: The scikit-...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/svm/plot_iris_svc.py	examples/svm/plot_iris_svc.py	""" ================================================== Plot different SVM classifiers in the iris dataset ================================================== Comparison of different linear SVM classifiers on a 2D projection of the iris dataset. We only consider the first 2 features of this dataset: - Sepal length - Se...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/tree/plot_tree_regression.py	examples/tree/plot_tree_regression.py	""" ======================== Decision Tree Regression ======================== In this example, we demonstrate the effect of changing the maximum depth of a decision tree on how it fits to the data. We perform this once on a 1D regression task and once on a multi-output regression task. """ # Authors: The scikit-learn...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/tree/plot_iris_dtc.py	examples/tree/plot_iris_dtc.py	""" ======================================================================= Plot the decision surface of decision trees trained on the iris dataset ======================================================================= Plot the decision surface of a decision tree trained on pairs of features of the iris dataset. See...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/tree/plot_cost_complexity_pruning.py	examples/tree/plot_cost_complexity_pruning.py	""" ======================================================== Post pruning decision trees with cost complexity pruning ======================================================== .. currentmodule:: sklearn.tree The :class:`DecisionTreeClassifier` provides parameters such as ``min_samples_leaf`` and ``max_depth`` to preve...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/tree/plot_unveil_tree_structure.py	examples/tree/plot_unveil_tree_structure.py	""" ========================================= Understanding the decision tree structure ========================================= The decision tree structure can be analysed to gain further insight on the relation between the features and the target to predict. In this example, we show how to retrieve: - the binary t...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/frozen/plot_frozen_examples.py	examples/frozen/plot_frozen_examples.py	""" =================================== Examples of Using `FrozenEstimator` =================================== This example showcases some use cases of :class:`~sklearn.frozen.FrozenEstimator`. :class:`~sklearn.frozen.FrozenEstimator` is a utility class that allows to freeze a fitted estimator. This is useful, for i...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/kernel_approximation/plot_scalable_poly_kernels.py	examples/kernel_approximation/plot_scalable_poly_kernels.py	""" ====================================================== Scalable learning with polynomial kernel approximation ====================================================== .. currentmodule:: sklearn.kernel_approximation This example illustrates the use of :class:`PolynomialCountSketch` to efficiently generate polynomial...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neural_networks/plot_mlp_training_curves.py	examples/neural_networks/plot_mlp_training_curves.py	""" ======================================================== Compare Stochastic learning strategies for MLPClassifier ======================================================== This example visualizes some training loss curves for different stochastic learning strategies, including SGD and Adam. Because of time-constrai...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neural_networks/plot_mnist_filters.py	examples/neural_networks/plot_mnist_filters.py	""" ===================================== Visualization of MLP weights on MNIST ===================================== Sometimes looking at the learned coefficients of a neural network can provide insight into the learning behavior. For example if weights look unstructured, maybe some were not used at all, or if very l...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neural_networks/plot_rbm_logistic_classification.py	examples/neural_networks/plot_rbm_logistic_classification.py	""" ============================================================== Restricted Boltzmann Machine features for digit classification ============================================================== For greyscale image data where pixel values can be interpreted as degrees of blackness on a white background, like handwritten...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neural_networks/plot_mlp_alpha.py	examples/neural_networks/plot_mlp_alpha.py	""" ================================================ Varying regularization in Multi-layer Perceptron ================================================ A comparison of different values for regularization parameter 'alpha' on synthetic datasets. The plot shows that different alphas yield different decision functions. A...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/calibration/plot_calibration_multiclass.py	examples/calibration/plot_calibration_multiclass.py	""" ================================================== Probability Calibration for 3-class classification ================================================== This example illustrates how sigmoid :ref:`calibration <calibration>` changes predicted probabilities for a 3-class classification problem. Illustrated is the sta...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/calibration/plot_compare_calibration.py	examples/calibration/plot_compare_calibration.py	""" ======================================== Comparison of Calibration of Classifiers ======================================== Well calibrated classifiers are probabilistic classifiers for which the output of :term:`predict_proba` can be directly interpreted as a confidence level. For instance, a well calibrated (bina...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/calibration/plot_calibration_curve.py	examples/calibration/plot_calibration_curve.py	""" ============================== Probability Calibration curves ============================== When performing classification one often wants to predict not only the class label, but also the associated probability. This probability gives some kind of confidence on the prediction. This example demonstrates how to vi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/calibration/plot_calibration.py	examples/calibration/plot_calibration.py	""" ====================================== Probability calibration of classifiers ====================================== When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some kind of confidence on the prediction. However,...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/api_reference.py	doc/api_reference.py	"""Configuration for the API reference documentation.""" def _get_guide(*refs, is_developer=False): """Get the rst to refer to user/developer guide. `refs` is several references that can be used in the :ref:`...` directive. """ if len(refs) == 1: ref_desc = f":ref:`{refs[0]}` section" eli...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/conftest.py	doc/conftest.py	import os from os import environ from os.path import exists, join import pytest from _pytest.doctest import DoctestItem from sklearn.datasets import get_data_home from sklearn.datasets._base import _pkl_filepath from sklearn.datasets._twenty_newsgroups import CACHE_NAME from sklearn.utils._testing import SkipTest, ch...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/conf.py	doc/conf.py	# scikit-learn documentation build configuration file, created by # sphinx-quickstart on Fri Jan 8 09:13:42 2010. # # This file is execfile()d with the current directory set to its containing # dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration valu...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/allow_nan_estimators.py	doc/sphinxext/allow_nan_estimators.py	from contextlib import suppress from docutils import nodes from docutils.parsers.rst import Directive from sklearn.utils import all_estimators from sklearn.utils._test_common.instance_generator import _construct_instances from sklearn.utils._testing import SkipTest class AllowNanEstimators(Directive): @staticme...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/sphinx_issues.py	doc/sphinxext/sphinx_issues.py	"""A Sphinx extension for linking to your project's issue tracker. Copyright 2014 Steven Loria Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation th...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/autoshortsummary.py	doc/sphinxext/autoshortsummary.py	from sphinx.ext.autodoc import ModuleLevelDocumenter class ShortSummaryDocumenter(ModuleLevelDocumenter): """An autodocumenter that only renders the short summary of the object.""" # Defines the usage: .. autoshortsummary:: {{ object }} objtype = "shortsummary" # Disable content indentation cont...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/override_pst_pagetoc.py	doc/sphinxext/override_pst_pagetoc.py	from functools import cache from sphinx.util.logging import getLogger logger = getLogger(__name__) def override_pst_pagetoc(app, pagename, templatename, context, doctree): """Overrides the `generate_toc_html` function of pydata-sphinx-theme for API.""" @cache def generate_api_toc_html(kind="html"): ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/github_link.py	doc/sphinxext/github_link.py	import inspect import os import subprocess import sys from functools import partial from operator import attrgetter REVISION_CMD = "git rev-parse --short HEAD" def _get_git_revision(): try: revision = subprocess.check_output(REVISION_CMD.split()).strip() except (subprocess.CalledProcessError, OSError...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/doi_role.py	doc/sphinxext/doi_role.py	""" doilinks ~~~~~~~~ Extension to add links to DOIs. With this extension you can use e.g. :doi:`10.1016/S0022-2836(05)80360-2` in your documents. This will create a link to a DOI resolver (``https://doi.org/10.1016/S0022-2836(05)80360-2``). The link caption will be the raw DOI. You can also give an explicit caption, e...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/doc/sphinxext/dropdown_anchors.py	doc/sphinxext/dropdown_anchors.py	import re from docutils import nodes from sphinx.transforms.post_transforms import SphinxPostTransform from sphinx_design.dropdown import dropdown_main class DropdownAnchorAdder(SphinxPostTransform): """Insert anchor links to the sphinx-design dropdowns. Some of the dropdowns were originally headers that ha...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/.spin/cmds.py	.spin/cmds.py	import shutil import sys import click from spin.cmds import util @click.command() def clean(): """🪥 Clean build folder. Very rarely needed since meson-python recompiles as needed when sklearn is imported. One known use case where "spin clean" is useful: avoid compilation errors when switching ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/isotonic.py	sklearn/isotonic.py	"""Isotonic regression for obtaining monotonic fit to data.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import math import warnings from numbers import Real import numpy as np from scipy import interpolate, optimize from scipy.stats import spearmanr from sklearn._isotonic impor...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/discriminant_analysis.py	sklearn/discriminant_analysis.py	"""Linear and quadratic discriminant analysis.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from numbers import Integral, Real import numpy as np import scipy.linalg from scipy import linalg from sklearn.base import ( BaseEstimator, ClassifierMixin, C...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/calibration.py	sklearn/calibration.py	"""Methods for calibrating predicted probabilities.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from functools import partial from inspect import signature from math import log from numbers import Integral, Real import numpy as np from scipy.optimize import minim...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/kernel_approximation.py	sklearn/kernel_approximation.py	"""Approximate kernel feature maps based on Fourier transforms and count sketches.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from numbers import Integral, Real import numpy as np import scipy.sparse as sp from scipy.fft import fft, ifft from scipy.linalg import...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/dummy.py	sklearn/dummy.py	"""Dummy estimators that implement simple rules of thumb.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from numbers import Integral, Real import numpy as np import scipy.sparse as sp from sklearn.base import ( BaseEstimator, ClassifierMixin, MultiOutp...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/_min_dependencies.py	sklearn/_min_dependencies.py	"""All minimum dependencies for scikit-learn.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import argparse from collections import defaultdict # scipy and cython should by in sync with pyproject.toml NUMPY_MIN_VERSION = "1.24.1" SCIPY_MIN_VERSION = "1.10.0" JOBLIB_MIN_VERSION = "...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/random_projection.py	sklearn/random_projection.py	"""Random projection transformers. Random projections are a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional variance) for faster processing times and smaller model sizes. The dimensions and distribution of random projections m...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/kernel_ridge.py	sklearn/kernel_ridge.py	"""Kernel ridge regression.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause from numbers import Real import numpy as np from sklearn.base import BaseEstimator, MultiOutputMixin, RegressorMixin, _fit_context from sklearn.linear_model._ridge import _solve_cholesky_kernel from sklearn...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/exceptions.py	sklearn/exceptions.py	"""Custom warnings and errors used across scikit-learn.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause __all__ = [ "ConvergenceWarning", "DataConversionWarning", "DataDimensionalityWarning", "EfficiencyWarning", "EstimatorCheckFailedWarning", "FitFailedWarnin...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/_config.py	sklearn/_config.py	"""Global configuration state and functions for management""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import os import threading from contextlib import contextmanager as contextmanager _global_config = { "assume_finite": bool(os.environ.get("SKLEARN_ASSUME_FINITE", False)),...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/multiclass.py	sklearn/multiclass.py	"""Multiclass learning algorithms. - one-vs-the-rest / one-vs-all - one-vs-one - error correcting output codes The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. For example, it is possible to use these estimators to turn a binary classifier ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/conftest.py	sklearn/conftest.py	# Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import builtins import platform import sys from contextlib import suppress from functools import wraps from os import environ from unittest import SkipTest import joblib import numpy as np import pytest from _pytest.doctest import DoctestI...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/pipeline.py	sklearn/pipeline.py	"""Utilities to build a composite estimator as a chain of transforms and estimators.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause from collections import Counter, defaultdict from copy import deepcopy from itertools import chain, islice import numpy as np from scipy import sparse...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/__init__.py	sklearn/__init__.py	"""Configure global settings and get information about the working environment.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause # Machine learning module for Python # ================================== # # sklearn is a Python module integrating classical machine # learning algorithms...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/multioutput.py	sklearn/multioutput.py	"""Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends single output estimators to multioutput estimators. """ # Authors: The scikit-learn developers # SPDX-License-Identifi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/base.py	sklearn/base.py	"""Base classes for all estimators and various utility functions.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import copy import functools import inspect import platform import re import warnings from collections import defaultdict import numpy as np from sklearn import __versi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/naive_bayes.py	sklearn/naive_bayes.py	"""Naive Bayes algorithms. These are supervised learning methods based on applying Bayes' theorem with strong (naive) feature independence assumptions. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from abc import ABCMeta, abstractmethod from numbers import Integr...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/_distributor_init.py	sklearn/_distributor_init.py	"""Distributor init file Distributors: you can add custom code here to support particular distributions of scikit-learn. For example, this is a good place to put any checks for hardware requirements. The scikit-learn standard source distribution will not put code in this file, so you can safely replace this file wit...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/_gpr.py	sklearn/gaussian_process/_gpr.py	"""Gaussian processes regression.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings from numbers import Integral, Real from operator import itemgetter import numpy as np import scipy.optimize from scipy.linalg import cho_solve, cholesky, solve_triangular from sklearn....	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/__init__.py	sklearn/gaussian_process/__init__.py	"""Gaussian process based regression and classification.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause from sklearn.gaussian_process import kernels from sklearn.gaussian_process._gpc import GaussianProcessClassifier from sklearn.gaussian_process._gpr import GaussianProcessRegressor...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/_gpc.py	sklearn/gaussian_process/_gpc.py	"""Gaussian processes classification.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause from numbers import Integral from operator import itemgetter import numpy as np import scipy.optimize from scipy.linalg import cho_solve, cholesky, solve from scipy.special import erf, expit from ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/kernels.py	sklearn/gaussian_process/kernels.py	"""A set of kernels that can be combined by operators and used in Gaussian processes.""" # Kernels for Gaussian process regression and classification. # # The kernels in this module allow kernel-engineering, i.e., they can be # combined via the "+" and "" operators or be exponentiated with a scalar # via "*". These ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	true
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/tests/test_kernels.py	sklearn/gaussian_process/tests/test_kernels.py	"""Testing for kernels for Gaussian processes.""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause from inspect import signature import numpy as np import pytest from sklearn.base import clone from sklearn.gaussian_process.kernels import ( RBF, CompoundKernel, ConstantKerne...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/tests/test_gpc.py	sklearn/gaussian_process/tests/test_gpc.py	"""Testing for Gaussian process classification""" # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import warnings import numpy as np import pytest from scipy.optimize import approx_fprime from sklearn.exceptions import ConvergenceWarning from sklearn.gaussian_process import GaussianPr...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/tests/_mini_sequence_kernel.py	sklearn/gaussian_process/tests/_mini_sequence_kernel.py	import numpy as np from sklearn.base import clone from sklearn.gaussian_process.kernels import ( GenericKernelMixin, Hyperparameter, Kernel, StationaryKernelMixin, ) class MiniSeqKernel(GenericKernelMixin, StationaryKernelMixin, Kernel): """ A minimal (but valid) convolutional kernel for sequ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/tests/__init__.py	sklearn/gaussian_process/tests/__init__.py		python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false

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