kernel_approximation.Nystroem()
  • References/Python/scikit-learn/API Reference/kernel_approximation

class sklearn.kernel_approximation.Nystroem(kernel='rbf', gamma=None, coef0=1, degree=3, kernel_params=None, n_components=100

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sklearn.cross_validation.check_cv()
  • References/Python/scikit-learn/API Reference/cross_validation

Warning DEPRECATED

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cross_validation.LeavePLabelOut()
  • References/Python/scikit-learn/API Reference/cross_validation

Warning DEPRECATED

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random_projection.SparseRandomProjection()
  • References/Python/scikit-learn/API Reference/random_projection

class sklearn.random_projection.SparseRandomProjection(n_components='auto', density='auto', eps=0.1, dense_output=False

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neighbors.KDTree
  • References/Python/scikit-learn/API Reference/neighbors

class sklearn.neighbors.KDTree KDTree for fast generalized N-point problems KDTree(X, leaf_size=40, metric=?minkowski

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gaussian_process.kernels.Matern()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Matern(length_scale=1.0, length_scale_bounds=(1e-05, 100000.0), nu=1.5)

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sklearn.metrics.pairwise.paired_manhattan_distances()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.paired_manhattan_distances(X, Y)

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linear_model.Ridge()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.Ridge(alpha=1.0, fit_intercept=True, normalize=False, copy_X=True, max_iter=None, tol=0.001, solver='auto',

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linear_model.ElasticNetCV()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.ElasticNetCV(l1_ratio=0.5, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, normalize=False,

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gaussian_process.GaussianProcessClassifier()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.GaussianProcessClassifier(kernel=None, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0

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