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user_guide.rst.txt
.. _user_guide: ========== User Guide ========== .. toctree::...data_transforms.rst datasets.rst computing.rst model_persistence.rst common_pitfalls.rst...scikit-learn.org/stable/_sources/user_guide.rst.txt -
TSNE — scikit-learn 1.7.2 documentation
function. Added in version 1.1. init {“random”, “pca”} or ndarray...early_exaggeration = 12.0 , learning_rate = 'auto' , max_iter = 1000 , n_iter_without_progress...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
LedoitWolf — scikit-learn 1.7.2 documentation
([[ .4 , .2 ], ... [ .2 , .8 ]]) >>> np . random . seed ( 0 )...0.1616], [0.1616, 0.8022]]) >>> cov . location_ array([ 0.0595 , -0.0075])...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
: subset {‘train’, ‘test’, ‘all’}, default=’train’ Select the...default=() May contain any subset of (‘headers’, ‘footers’, ‘quotes’)....scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
load_wine — scikit-learn 1.7.2 documentation
( data . target_names ) [np.str_('class_0'), np.str_('class_1'),...data . target [[ 10 , 80 , 140 ]] array([0, 1, 2]) >>> list (...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
{‘auto’, ‘QR’, ‘LU’, ‘none’}, default=’auto’ Power iteration normalizer...print ( svd . explained_variance_ratio_ ) [0.0157 0.0512 0.0499 0.0479...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.2...
{‘svd’, ‘lsqr’, ‘eigen’}, default=’svd’ Solver to use, possible values:...solvers. Added in version 0.17. tol float, default=1.0e-4 Absolute...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
ledoit_wolf — scikit-learn 1.7.2 documentation
ledoit_wolf ( X ) >>> covariance array([[0.44, 0.16], [0.16, 0.80]])...= np . array ([[ .4 , .2 ], [ .2 , .8 ]]) >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
fetch_california_housing — scikit-learn 1.7.2 d...
feature_names [ 0 : 6 ]) ['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms',...target . shape ) (20640, 8) (20640,) >>> print ( housing . feature_names...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html