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smacof — scikit-learn 1.7.2 documentation
2 ], [ 1 , 0 , 3 ], [ 2 , 3 , 0 ]]) >>> dissimilarities...metric = True , n_components = 2 , init = None , n_init = 'warn'...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
Receiver Operating Characteristic (ROC) with cr...
= 2 ], y [ y != 2 ] n_samples , n_features...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Concatenating multiple feature extraction metho...
0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
Comparison of Manifold Learning methods — sciki...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 7 , 7 ), facecolor...projections with matplotlib < 3.2 import mpl_toolkits.mplot3d #...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
SVM: Weighted samples — scikit-learn 1.7.2 docu...
n_features = 2 , n_informative = 2 , n_redundant = 0 ,..., axes = plt . subplots ( 1 , 2 , figsize = ( 14 , 6 )) plot_decision_function...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
explained_variance_score — scikit-learn 1.7.2 d...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> ...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
Product — scikit-learn 1.7.2 documentation
takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{prod}(X,...\[k_{prod}(X, Y) = k_1(X, Y) * k_2(X, Y)\] Note that the __mul__ magic...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html -
trustworthiness — scikit-learn 1.7.2 documentation
defined as \[T(k) = 1 - \frac{2}{nk (2n - 3k - 1)} \sum^n_{i=1}...Should be fewer than n_samples / 2 to ensure the trustworthiness...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
4. Metadata Routing — scikit-learn 1.7.2 docume...
2 , size = n_samples ) >>> my_groups...of its underlying objects. 4.1.2. Weighted scoring and unweighted...scikit-learn.org/stable/metadata_routing.html -
SparsePCA — scikit-learn 1.7.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html