cluster.AgglomerativeClustering()
  • References/Python/scikit-learn/API Reference/cluster

class sklearn.cluster.AgglomerativeClustering(n_clusters=2, affinity='euclidean', memory=Memory(cachedir=None), connectivity=None

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

sklearn.datasets.clear_data_home(data_home=None)

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

Warning DEPRECATED

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

sklearn.datasets.load_sample_image(image_name)

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

class sklearn.gaussian_process.kernels.Sum(k1, k2)

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sklearn.feature_selection.mutual_info_regression()
  • References/Python/scikit-learn/API Reference/feature_selection

sklearn.feature_selection.mutual_info_regression(X, y, discrete_features='auto', n_neighbors=3, copy=True, ran

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sklearn.utils.estimator_checks.check_estimator()
  • References/Python/scikit-learn/API Reference/utils

sklearn.utils.estimator_checks.check_estimator(Estimator)

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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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covariance.GraphLassoCV()
  • References/Python/scikit-learn/API Reference/covariance

class sklearn.covariance.GraphLassoCV(alphas=4, n_refinements=4, cv=None, tol=0.0001, enet_tol=0.0001, max_iter=100, mode='cd', n_jobs=1

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pipeline.FeatureUnion()
  • References/Python/scikit-learn/API Reference/pipeline

class sklearn.pipeline.FeatureUnion(transformer_list, n_jobs=1, transformer_weights=None)

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