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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 -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.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 -
ExtraTreesClassifier — scikit-learn 1.7.2 docum...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
Kernel PCA — scikit-learn 1.7.2 documentation
subplots ( ncols = 2 , sharex = True , sharey = True...KernelPCA pca = PCA ( n_components = 2 ) kernel_pca = KernelPCA ( n_components...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
ledoit_wolf — scikit-learn 1.7.2 documentation
2 ], [ .2 , .8 ]]) >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
Hyperparameter — scikit-learn 1.7.2 documentation
bounds # Alias for field number 2 count ( value , / ) # Return number...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
1.6. Nearest Neighbors — scikit-learn 1.7.2 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
Isotonic Regression — scikit-learn 1.7.2 docume...
subplots ( ncols = 2 , figsize = ( 12 , 6 )) ax0 ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html