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v_measure_score — scikit-learn 1.7.2 documentation
2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
make_regression — scikit-learn 1.7.2 documentation
n_features = 2 , noise = 1 , random_state = 42...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
GMM covariances — scikit-learn 1.7.2 documentation
covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
jaccard_score — scikit-learn 1.7.2 documentation
2 , 1 , 2 ] >>> y_true = [ 0 , 1 , 2 , 2 ] >>> jaccard_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
check_array — scikit-learn 1.7.2 documentation
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
Contributing — scikit-learn 1.7.2 documentation
cd scikit-learn Follow steps 2-6 in Building from source to build...pytest pytest-cov ruff == 0 .11.2 mypy numpydoc Add the upstream...scikit-learn.org/stable/developers/contributing.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u - v||^2 Where u...>= 4 log(n_samples) / (eps^2 / 2 - eps^3 / 3) Note that the number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
GaussianProcessClassifier — scikit-learn 1.7.2 ...
2, and 5.1 from [RW2006] . Internally,...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.83548752, 0.03228706,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
7.3. Preprocessing data — scikit-learn 1.7.2 do...
2. , 1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1],...\((X_1, X_2)\) to \((1, X_1, X_2, X_1^2, X_1X_2, X_2^2)\) . In...scikit-learn.org/stable/modules/preprocessing.html -
MLPClassifier — scikit-learn 1.7.2 documentation
beta_2 = 0.999 , epsilon = 1e-08 , n_iter_no_change...array-like of shape(n_layers - 2,), default=(100,) The ith element...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html