sklearn.datasets.load_svmlight_files(files, n_features=None, dtype=, multilabel=False, zero_based='auto', query_id=False)

class sklearn.kernel_approximation.SkewedChi2Sampler(skewedness=1.0, n_components=100, random_state=None)

This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such

sklearn.datasets.load_iris(return_X_y=False)

class sklearn.neighbors.RadiusNeighborsClassifier(radius=1.0, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski'

sklearn.metrics.pairwise.laplacian_kernel(X, Y=None, gamma=None)

class sklearn.linear_model.RandomizedLogisticRegression(C=1, scaling=0.5, sample_fraction=0.75, n_resampling=200

class sklearn.preprocessing.KernelCenterer

class sklearn.exceptions.FitFailedWarning

class sklearn.model_selection.GridSearchCV(estimator, param_grid, scoring=None, fit_params=None, n_jobs=1, iid=True, refit=True