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shuffle — scikit-learn 1.8.0 documentation
[2., 1.], [1., 0.]]) >>> y array([2, 1, 0]) >>>...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
Comparison of LDA and PCA 2D projection of Iris...
the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
train_test_split — scikit-learn 1.8.0 doc...
2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6 3.1 1.5...73 6.1 2.8 4.7 1.2 18 5.7 3.8 1.7 0.3 118 7.7 2.6 6.9 2.3 78 6.0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
mean_poisson_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....2. ] >>> mean_poisson_deviance ( y_true , y_pred ) 1.4260......scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Forecasting of CO2 level on Mona Loa dataset us...
co2_kernel 50**2 * RBF(length_scale=50) + 2**2 * RBF(length_scale=100)...GaussianProcessRegre(kernel=50**2 * RBF(length_scale=50) + 2**2 * RBF(length_scale=100)...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html -
PLSSVD — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], ... [ 2. , 5. , 4. ]]) >>>...([[ 0.1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
Kernel — scikit-learn 1.8.0 documentation
length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 ,..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
safe_sqr — scikit-learn 1.8.0 documentation
Returns : X ** 2 element wise square Return the...>>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html -
SVM Tie Breaking Example — scikit-learn 1...
2 ), ( 1 , 2 )] line = np . linspace...fig , sub = plt . subplots ( 2 , 1 , figsize = ( 5 , 8 )) titles...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html