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AdaBoostClassifier — scikit-learn 1.7.1 documen...
Boosting”, 1995. [ 2 ] J. Zhu, H. Zou, S. Rosset, T. Hastie, “Multi-class...rs=100, random_state=0) >>> clf . predict ([[ 0 , 0 , 0 , 0 ]])...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
kmeans_plusplus — scikit-learn 1.7.1 documentation
np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ],...centers array([[10, 2], [ 1, 0]]) >>> indices array([3, 2]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
getting_started.rst.txt
StandardScaler().fit(X).transform(X) array([[-1., 1.], [ 1., -1.]]) Sometimes,...make_pipeline( ... StandardScaler(), ... LogisticRegression() ... ) ......scikit-learn.org/stable/_sources/getting_started.rst.txt -
DecisionTreeClassifier — scikit-learn 1.7.1 doc...
be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
OPTICS — scikit-learn 1.7.1 documentation
[‘cityblock’, ‘cosine’, ‘euclidean’, ‘l1’, ‘l2’, ‘manhattan’] from...‘chebyshev’, ‘correlation’, ‘dice’, ‘hamming’, ‘jaccard’, ‘kulsinski’,...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
mean_pinball_loss — scikit-learn 1.7.1 document...
mean_pinball_loss ( y_true , [ 1 , 2 , 4 ], alpha = 0.9 ) 0.03... >>> mean_pinball_loss...1 , 2 , 4 ], alpha = 0.1 ) 0.3... >>> mean_pinball_loss ( y_true...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
make_sparse_spd_matrix — scikit-learn 1.7.1 doc...
array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0.,...[0., 0., 0., 1.]]) Gallery examples # Sparse inverse covariance...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
OrthogonalMatchingPursuit — scikit-learn 1.7.1 ...
12. (December 1993), pp. 3397-3415. ( https://www.di.ens.fr/~m...OrthogonalMatchingPu () . fit ( X , y ) >>> reg . score ( X , y ) 0.9991 >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
LogisticRegression — scikit-learn 1.7.1 documen...
the ‘liblinear’ library, ‘newton-cg’, ‘sag’, ‘saga’ and ‘lbfgs’...details. solver {‘lbfgs’, ‘liblinear’, ‘newton-cg’, ‘newton-cholesky’,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
decomposition.rst.txt
tion.py` .. _IncrementalPCA: Incremental PCA ---------- The :class:`PCA`...the SVD. .. figure:: ../auto_examples/decomposition/images/sphx...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt