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LeaveOneOut — scikit-learn 1.6.1 documentation
Train: index=[1] Test: index=[0] Fold 1: Train: index=[0] Test:...equivalent to KFold(n_splits=n) and LeavePOut(p=1) where n is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
IsolationForest example — scikit-learn 1.6.1 do...
outliers = rng . uniform ( low =- 4 , high = 4 , size = ( n_outliers...scatter = plt . scatter ( X [:, 0 ], X [:, 1 ], c = y , s = 20 ,...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Prediction Latency — scikit-learn 1.6.1 documen...
SGDRegressor(alpha=0.01, l1_ratio=0.25, penalty='elasticnet', tol=0.0001)...n_features = n_features , noise = noise , coef = True ) random_seed...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html -
EllipticEnvelope — scikit-learn 1.6.1 documenta...
store_precision = True , assume_centered = False , support_fraction = None...multivariate_normal ( mean = [ 0 , 0 ], ... cov = true_cov , ... size = 500 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
Selecting the number of clusters with silhouett...
marker = "." , s = 30 , lw = 0 , alpha = 0.7 , c = colors ,...1 ], marker = "o" , c = "white" , alpha = 1 , s = 200 , edgecolor...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
mean_pinball_loss — scikit-learn 1.6.1 document...
sample_weight = None , alpha = 0.5 , multioutput = 'uniform_average'...absolute error when alpha=0.5 , alpha=0.95 is minimized by estimators...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
fetch_olivetti_faces — scikit-learn 1.6.1 docum...
download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0...data_home = None , shuffle = False , random_state = 0 , download_if_missing...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
Compare cross decomposition methods — scikit-le...
PLSRegression n = 1000 q = 3 p = 10 X = np . random . normal ( size = n *...size = n ) l2 = np . random . normal ( size = n ) latents = np...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
randomized_svd — scikit-learn 1.6.1 documentation
n_oversamples = 10 , n_iter = 'auto' , power_iteration_normalizer = 'auto'...transpose = 'auto' , flip_sign = True , random_state = None , svd_lapack_driver...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
6.7. Kernel Approximation — scikit-learn 1.6.1 ...
rbf_feature = RBFSampler ( gamma = 1 , random_state = 1 ) >>> X_features...points. \[\begin{split}K = U \Lambda U^T = \begin{bmatrix} U_1 \\...scikit-learn.org/stable/modules/kernel_approximation.html