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Version 1.1 — scikit-learn 1.7.2 documentation
2+. Optional minimal dependency is matplotlib 3.1.2+. Changed...the latest SciPy release >= 1.9.2. Notable changes include: Fix...scikit-learn.org/stable/whats_new/v1.1.html -
maxabs_scale — scikit-learn 1.7.2 documentation
maxabs_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> maxabs_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
top_k_accuracy_score — scikit-learn 1.7.2 docum...
2 , 2 ]) >>> y_score = np . array ([[ 0.5 , 0.2 , 0.2 ], #...top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1 is in top 2 ... [ 0.2 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
7.6. Random Projection — scikit-learn 1.7.2 doc...
2. Gaussian random projection #...scikit-learn.org/stable/modules/random_projection.html -
Version 0.20 — scikit-learn 1.7.2 documentation
scikit-learn to support Python 2.7 and Python 3.4. Scikit-learn...upgraded from 0.13.0 to 0.13.2. sklearn.cluster # Fix Fixed a...scikit-learn.org/stable/whats_new/v0.20.html -
sklearn.cluster — scikit-learn 1.7.2 documentation
Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.scikit-learn.org/stable/api/sklearn.cluster.html -
sklearn.decomposition — scikit-learn 1.7.2 docu...
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.html -
shrunk_covariance — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version shrunk_covariance # sklearn.covariance. shrunk_covari...scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html -
sklearn.calibration — scikit-learn 1.7.2 docume...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/stable/api/sklearn.calibration.html -
fetch_20newsgroups — scikit-learn 1.7.2 documen...
Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Biclustering documents with the Spectral Co-clustering algorithm Column Transformer with He...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html