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1.8. Cross decomposition — scikit-learn 1.6.0 d...
CCA and PLSSVD 1.8.1. PLSCanonical # We here describe...as follows: Set \(X_1\) to \(X\) and \(Y_1\) to \(Y\) . Then,...scikit-learn.org/stable/modules/cross_decomposition.html -
Kernel — scikit-learn 1.6.0 documentation
length_scale = 1.0 ): ... self . length_scale =...2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> print (...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
f1_score — scikit-learn 1.7.dev0 documentation
[ 1 , 1 , 1 ], [ 0 , 1 , 1 ]] >>> y_pred = [[...[[ 0 , 0 , 0 ], [ 1 , 1 , 1 ], [ 1 , 1 , 0 ]] >>> f1_score ( y_true...scikit-learn.org/dev/modules/generated/sklearn.metrics.f1_score.html -
f_regression — scikit-learn 1.6.0 documentation
r_regression values lie in [-1, 1] and can thus be negative. f_regression...set to 0.0 . Added in version 1.1. Returns : f_statistic ndarray...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
make_swiss_roll — scikit-learn 1.6.0 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
adjusted_mutual_info_score — scikit-learn 1.6.0...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) ... 1.0 >>> adjusted_mutual_info_score...e ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) ... 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
plot_release_highlights_1_6_0.ipynb
1, 6, np.nan]).reshape(-1, 1)\ny = [0, 0, 1, 1]\n\nforest...Release Highlights for scikit-learn 1.6\n\n.. currentmodule:: sklearn\n\nWe...scikit-learn.org/stable/_downloads/862c762bdafef83db4c2c9e803ed6295/plot_release_highlights_1_6_0... -
learning_curve — scikit-learn 1.7.dev0 document...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/dev/modules/generated/sklearn.model_selection.learning_curve.html -
1.15. Isotonic regression — scikit-learn 1.6.0 ...
Ctrl + K GitHub Choose version 1.15. Isotonic regression # The...non-decreasing real function to 1-dimensional data. It solves the...scikit-learn.org/stable/modules/isotonic.html -
hamming_loss — scikit-learn 1.6.0 documentation
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html