preprocessing.MaxAbsScaler()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.MaxAbsScaler(copy=True)

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cross_decomposition.PLSSVD()
  • References/Python/scikit-learn/API Reference/cross_decomposition

class sklearn.cross_decomposition.PLSSVD(n_components=2, scale=True, copy=True)

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cross_decomposition.CCA()
  • References/Python/scikit-learn/API Reference/cross_decomposition

class sklearn.cross_decomposition.CCA(n_components=2, scale=True, max_iter=500, tol=1e-06, copy=True)

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

Warning DEPRECATED

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

class sklearn.linear_model.RidgeClassifierCV(alphas=(0.1, 1.0, 10.0), fit_intercept=True, normalize=False, scoring=None, cv=None

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sklearn.preprocessing.maxabs_scale()
  • References/Python/scikit-learn/API Reference/preprocessing

sklearn.preprocessing.maxabs_scale(X, axis=0, copy=True)

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

sklearn.metrics.adjusted_mutual_info_score(labels_true, labels_pred)

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sklearn.datasets.load_linnerud()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.load_linnerud(return_X_y=False)

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

class sklearn.linear_model.RANSACRegressor(base_estimator=None, min_samples=None, residual_threshold=None, is_data_valid=None

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

class sklearn.linear_model.RandomizedLasso(alpha='aic', scaling=0.5, sample_fraction=0.75, n_resampling=200, selection_threshold=0

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