scikit-learn
scikit-learn
  1. base
    1. base.BaseEstimator
    2. base.BaseEstimator
    3. base.BaseEstimator.__init__()
    4. base.BaseEstimator.get_params()
    5. base.BaseEstimator.set_params()
    6. base.ClassifierMixin
    7. base.ClassifierMixin
    8. base.ClassifierMixin.__init__()
    9. base.ClassifierMixin.score()
    10. base.clone()
    11. base.ClusterMixin
    12. base.ClusterMixin
    13. base.ClusterMixin.__init__()
    14. base.ClusterMixin.fit_predict()
    15. base.RegressorMixin
    16. base.RegressorMixin
    17. base.RegressorMixin.__init__()
    18. base.RegressorMixin.score()
    19. base.TransformerMixin
    20. base.TransformerMixin
    21. base.TransformerMixin.__init__()
    22. base.TransformerMixin.fit_transform()
    23. sklearn.base.clone()
  2. calibration
    1. calibration.CalibratedClassifierCV
    2. calibration.CalibratedClassifierCV.__init__()
    3. calibration.CalibratedClassifierCV.fit()
    4. calibration.CalibratedClassifierCV.get_params()
    5. calibration.CalibratedClassifierCV.predict_proba()
    6. calibration.CalibratedClassifierCV.predict()
    7. calibration.CalibratedClassifierCV.score()
    8. calibration.CalibratedClassifierCV.set_params()
    9. calibration.CalibratedClassifierCV()
    10. calibration.calibration_curve()
    11. sklearn.calibration.calibration_curve()
  3. cluster
    1. cluster.affinity_propagation()
    2. cluster.AffinityPropagation
    3. cluster.AffinityPropagation.__init__()
    4. cluster.AffinityPropagation.fit_predict()
    5. cluster.AffinityPropagation.fit()
    6. cluster.AffinityPropagation.get_params()
    7. cluster.AffinityPropagation.predict()
    8. cluster.AffinityPropagation.set_params()
    9. cluster.AffinityPropagation()
    10. cluster.AgglomerativeClustering
    11. cluster.AgglomerativeClustering.__init__()
    12. cluster.AgglomerativeClustering.fit_predict()
    13. cluster.AgglomerativeClustering.fit()
    14. cluster.AgglomerativeClustering.get_params()
    15. cluster.AgglomerativeClustering.set_params()
    16. cluster.AgglomerativeClustering()
    17. cluster.Birch
    18. cluster.Birch.__init__()
    19. cluster.Birch.fit_predict()
    20. cluster.Birch.fit_transform()
    21. cluster.Birch.fit()
    22. cluster.Birch.get_params()
    23. cluster.Birch.partial_fit()
    24. cluster.Birch.predict()
    25. cluster.Birch.set_params()
    26. cluster.Birch.transform()
    27. cluster.Birch()
    28. cluster.DBSCAN
    29. cluster.DBSCAN.__init__()
    30. cluster.DBSCAN.fit_predict()
    31. cluster.DBSCAN.fit()
    32. cluster.DBSCAN.get_params()
    33. cluster.DBSCAN.set_params()
    34. cluster.DBSCAN()
    35. cluster.estimate_bandwidth()
    36. cluster.FeatureAgglomeration
    37. cluster.FeatureAgglomeration.__init__()
    38. cluster.FeatureAgglomeration.fit_transform()
    39. cluster.FeatureAgglomeration.fit()
    40. cluster.FeatureAgglomeration.get_params()
    41. cluster.FeatureAgglomeration.inverse_transform()
    42. cluster.FeatureAgglomeration.pooling_func()
    43. cluster.FeatureAgglomeration.set_params()
    44. cluster.FeatureAgglomeration.transform()
    45. cluster.FeatureAgglomeration()
    46. cluster.k_means()
    47. cluster.KMeans
    48. cluster.KMeans.__init__()
    49. cluster.KMeans.fit_predict()
    50. cluster.KMeans.fit_transform()
    51. cluster.KMeans.fit()
    52. cluster.KMeans.get_params()
    53. cluster.KMeans.predict()
    54. cluster.KMeans.score()
    55. cluster.KMeans.set_params()
    56. cluster.KMeans.transform()
    57. cluster.KMeans()
    58. cluster.mean_shift()
    59. cluster.MeanShift
    60. cluster.MeanShift.__init__()
    61. cluster.MeanShift.fit_predict()
    62. cluster.MeanShift.fit()
    63. cluster.MeanShift.get_params()
    64. cluster.MeanShift.predict()
    65. cluster.MeanShift.set_params()
    66. cluster.MeanShift()
    67. cluster.MiniBatchKMeans
    68. cluster.MiniBatchKMeans.__init__()
    69. cluster.MiniBatchKMeans.fit_predict()
    70. cluster.MiniBatchKMeans.fit_transform()
    71. cluster.MiniBatchKMeans.fit()
    72. cluster.MiniBatchKMeans.get_params()
    73. cluster.MiniBatchKMeans.partial_fit()
    74. cluster.MiniBatchKMeans.predict()
    75. cluster.MiniBatchKMeans.score()
    76. cluster.MiniBatchKMeans.set_params()
    77. cluster.MiniBatchKMeans.transform()
    78. cluster.MiniBatchKMeans()
    79. cluster.spectral_clustering()
    80. cluster.SpectralClustering
    81. cluster.SpectralClustering.__init__()
    82. cluster.SpectralClustering.fit_predict()
    83. cluster.SpectralClustering.fit()
    84. cluster.SpectralClustering.get_params()
    85. cluster.SpectralClustering.set_params()
    86. cluster.SpectralClustering()
    87. cluster.ward_tree()
    88. sklearn.cluster.affinity_propagation()
    89. sklearn.cluster.estimate_bandwidth()
    90. sklearn.cluster.k_means()
    91. sklearn.cluster.mean_shift()
    92. sklearn.cluster.spectral_clustering()
    93. sklearn.cluster.ward_tree()
  4. cluster.bicluster
    1. cluster.bicluster.SpectralBiclustering
    2. cluster.bicluster.SpectralBiclustering.__init__()
    3. cluster.bicluster.SpectralBiclustering.biclusters_
    4. cluster.bicluster.SpectralBiclustering.fit()
    5. cluster.bicluster.SpectralBiclustering.get_indices()
    6. cluster.bicluster.SpectralBiclustering.get_params()
    7. cluster.bicluster.SpectralBiclustering.get_shape()
    8. cluster.bicluster.SpectralBiclustering.get_submatrix()
    9. cluster.bicluster.SpectralBiclustering.set_params()
    10. cluster.bicluster.SpectralBiclustering()
    11. cluster.bicluster.SpectralCoclustering
    12. cluster.bicluster.SpectralCoclustering.__init__()
    13. cluster.bicluster.SpectralCoclustering.biclusters_
    14. cluster.bicluster.SpectralCoclustering.fit()
    15. cluster.bicluster.SpectralCoclustering.get_indices()
    16. cluster.bicluster.SpectralCoclustering.get_params()
    17. cluster.bicluster.SpectralCoclustering.get_shape()
    18. cluster.bicluster.SpectralCoclustering.get_submatrix()
    19. cluster.bicluster.SpectralCoclustering.set_params()
    20. cluster.bicluster.SpectralCoclustering()
  5. covariance
    1. covariance.EllipticEnvelope
    2. covariance.EllipticEnvelope.__init__()
    3. covariance.EllipticEnvelope.correct_covariance()
    4. covariance.EllipticEnvelope.decision_function()
    5. covariance.EllipticEnvelope.error_norm()
    6. covariance.EllipticEnvelope.get_params()
    7. covariance.EllipticEnvelope.get_precision()
    8. covariance.EllipticEnvelope.mahalanobis()
    9. covariance.EllipticEnvelope.predict()
    10. covariance.EllipticEnvelope.reweight_covariance()
    11. covariance.EllipticEnvelope.score()
    12. covariance.EllipticEnvelope.set_params()
    13. covariance.EllipticEnvelope()
    14. covariance.empirical_covariance()
    15. covariance.EmpiricalCovariance
    16. covariance.EmpiricalCovariance.__init__()
    17. covariance.EmpiricalCovariance.error_norm()
    18. covariance.EmpiricalCovariance.fit()
    19. covariance.EmpiricalCovariance.get_params()
    20. covariance.EmpiricalCovariance.get_precision()
    21. covariance.EmpiricalCovariance.mahalanobis()
    22. covariance.EmpiricalCovariance.score()
    23. covariance.EmpiricalCovariance.set_params()
    24. covariance.EmpiricalCovariance()
    25. covariance.graph_lasso()
    26. covariance.GraphLasso
    27. covariance.GraphLasso.__init__()
    28. covariance.GraphLasso.error_norm()
    29. covariance.GraphLasso.get_params()
    30. covariance.GraphLasso.get_precision()
    31. covariance.GraphLasso.mahalanobis()
    32. covariance.GraphLasso.score()
    33. covariance.GraphLasso.set_params()
    34. covariance.GraphLasso()
    35. covariance.GraphLassoCV
    36. covariance.GraphLassoCV.__init__()
    37. covariance.GraphLassoCV.error_norm()
    38. covariance.GraphLassoCV.fit()
    39. covariance.GraphLassoCV.get_params()
    40. covariance.GraphLassoCV.get_precision()
    41. covariance.GraphLassoCV.mahalanobis()
    42. covariance.GraphLassoCV.score()
    43. covariance.GraphLassoCV.set_params()
    44. covariance.GraphLassoCV()
    45. covariance.ledoit_wolf()
    46. covariance.LedoitWolf
    47. covariance.LedoitWolf.__init__()
    48. covariance.LedoitWolf.error_norm()
    49. covariance.LedoitWolf.fit()
    50. covariance.LedoitWolf.get_params()
    51. covariance.LedoitWolf.get_precision()
    52. covariance.LedoitWolf.mahalanobis()
    53. covariance.LedoitWolf.score()
    54. covariance.LedoitWolf.set_params()
    55. covariance.LedoitWolf()
    56. covariance.MinCovDet
    57. covariance.MinCovDet.__init__()
    58. covariance.MinCovDet.correct_covariance()
    59. covariance.MinCovDet.error_norm()
    60. covariance.MinCovDet.fit()
    61. covariance.MinCovDet.get_params()
    62. covariance.MinCovDet.get_precision()
    63. covariance.MinCovDet.mahalanobis()
    64. covariance.MinCovDet.reweight_covariance()
    65. covariance.MinCovDet.score()
    66. covariance.MinCovDet.set_params()
    67. covariance.MinCovDet()
    68. covariance.OAS
    69. covariance.OAS.__init__()
    70. covariance.OAS.error_norm()
    71. covariance.OAS.fit()
    72. covariance.OAS.get_params()
    73. covariance.OAS.get_precision()
    74. covariance.OAS.mahalanobis()
    75. covariance.OAS.score()
    76. covariance.OAS.set_params()
    77. covariance.OAS()
    78. covariance.shrunk_covariance()
    79. covariance.ShrunkCovariance
    80. covariance.ShrunkCovariance.__init__()
    81. covariance.ShrunkCovariance.error_norm()
    82. covariance.ShrunkCovariance.fit()
    83. covariance.ShrunkCovariance.get_params()
    84. covariance.ShrunkCovariance.get_precision()
    85. covariance.ShrunkCovariance.mahalanobis()
    86. covariance.ShrunkCovariance.score()
    87. covariance.ShrunkCovariance.set_params()
    88. covariance.ShrunkCovariance()
    89. sklearn.covariance.empirical_covariance()
    90. sklearn.covariance.graph_lasso()
    91. sklearn.covariance.ledoit_wolf()
    92. sklearn.covariance.shrunk_covariance()
  6. cross_decomposition
    1. cross_decomposition.CCA
    2. cross_decomposition.CCA.__init__()
    3. cross_decomposition.CCA.fit_transform()
    4. cross_decomposition.CCA.fit()
    5. cross_decomposition.CCA.get_params()
    6. cross_decomposition.CCA.predict()
    7. cross_decomposition.CCA.score()
    8. cross_decomposition.CCA.set_params()
    9. cross_decomposition.CCA.transform()
    10. cross_decomposition.CCA()
    11. cross_decomposition.PLSCanonical
    12. cross_decomposition.PLSCanonical.__init__()
    13. cross_decomposition.PLSCanonical.fit_transform()
    14. cross_decomposition.PLSCanonical.fit()
    15. cross_decomposition.PLSCanonical.get_params()
    16. cross_decomposition.PLSCanonical.predict()
    17. cross_decomposition.PLSCanonical.score()
    18. cross_decomposition.PLSCanonical.set_params()
    19. cross_decomposition.PLSCanonical.transform()
    20. cross_decomposition.PLSCanonical()
    21. cross_decomposition.PLSRegression
    22. cross_decomposition.PLSRegression.__init__()
    23. cross_decomposition.PLSRegression.fit_transform()
    24. cross_decomposition.PLSRegression.fit()
    25. cross_decomposition.PLSRegression.get_params()
    26. cross_decomposition.PLSRegression.predict()
    27. cross_decomposition.PLSRegression.score()
    28. cross_decomposition.PLSRegression.set_params()
    29. cross_decomposition.PLSRegression.transform()
    30. cross_decomposition.PLSRegression()
    31. cross_decomposition.PLSSVD
    32. cross_decomposition.PLSSVD.__init__()
    33. cross_decomposition.PLSSVD.fit_transform()
    34. cross_decomposition.PLSSVD.get_params()
    35. cross_decomposition.PLSSVD.set_params()
    36. cross_decomposition.PLSSVD.transform()
    37. cross_decomposition.PLSSVD()
  7. datasets
    1. datasets.clear_data_home()
    2. datasets.dump_svmlight_file()
    3. datasets.fetch_20newsgroups_vectorized()
    4. datasets.fetch_20newsgroups()
    5. datasets.fetch_california_housing()
    6. datasets.fetch_covtype()
    7. datasets.fetch_kddcup99()
    8. datasets.fetch_lfw_pairs()
    9. datasets.fetch_lfw_people()
    10. datasets.fetch_mldata()
    11. datasets.fetch_olivetti_faces()
    12. datasets.fetch_rcv1()
    13. datasets.fetch_species_distributions()
    14. datasets.get_data_home()
    15. datasets.load_boston()
    16. datasets.load_breast_cancer()
    17. datasets.load_diabetes()
    18. datasets.load_digits()
    19. datasets.load_files()
    20. datasets.load_iris()
    21. datasets.load_linnerud()
    22. datasets.load_mlcomp()
    23. datasets.load_sample_image()
    24. datasets.load_sample_images()
    25. datasets.load_svmlight_file()
    26. datasets.load_svmlight_files()
    27. datasets.make_biclusters()
    28. datasets.make_blobs()
    29. datasets.make_checkerboard()
    30. datasets.make_circles()
    31. datasets.make_classification()
    32. datasets.make_friedman1()
    33. datasets.make_friedman2()
    34. datasets.make_friedman3()
    35. datasets.make_gaussian_quantiles()
    36. datasets.make_hastie_10_2()
    37. datasets.make_low_rank_matrix()
    38. datasets.make_moons()
    39. datasets.make_multilabel_classification()
    40. datasets.make_regression()
    41. datasets.make_s_curve()
    42. datasets.make_sparse_coded_signal()
    43. datasets.make_sparse_spd_matrix()
    44. datasets.make_sparse_uncorrelated()
    45. datasets.make_spd_matrix()
    46. datasets.make_swiss_roll()
    47. datasets.mldata_filename()
    48. sklearn.datasets.clear_data_home()
    49. sklearn.datasets.dump_svmlight_file()
    50. sklearn.datasets.fetch_20newsgroups_vectorized()
    51. sklearn.datasets.fetch_20newsgroups()
    52. sklearn.datasets.fetch_california_housing()
    53. sklearn.datasets.fetch_covtype()
    54. sklearn.datasets.fetch_kddcup99()
    55. sklearn.datasets.fetch_lfw_pairs()
    56. sklearn.datasets.fetch_lfw_people()
    57. sklearn.datasets.fetch_mldata()
    58. sklearn.datasets.fetch_olivetti_faces()
    59. sklearn.datasets.fetch_rcv1()
    60. sklearn.datasets.fetch_species_distributions()
    61. sklearn.datasets.get_data_home()
    62. sklearn.datasets.load_boston()
    63. sklearn.datasets.load_breast_cancer()
    64. sklearn.datasets.load_diabetes()
    65. sklearn.datasets.load_digits()
    66. sklearn.datasets.load_files()
    67. sklearn.datasets.load_iris()
    68. sklearn.datasets.load_linnerud()
    69. sklearn.datasets.load_mlcomp()
    70. sklearn.datasets.load_sample_image()
    71. sklearn.datasets.load_sample_images()
    72. sklearn.datasets.load_svmlight_file()
    73. sklearn.datasets.load_svmlight_files()
    74. sklearn.datasets.make_biclusters()
    75. sklearn.datasets.make_blobs()
    76. sklearn.datasets.make_checkerboard()
    77. sklearn.datasets.make_circles()
    78. sklearn.datasets.make_classification()
    79. sklearn.datasets.make_friedman1()
    80. sklearn.datasets.make_friedman2()
    81. sklearn.datasets.make_friedman3()
    82. sklearn.datasets.make_gaussian_quantiles()
    83. sklearn.datasets.make_hastie_10_2()
    84. sklearn.datasets.make_low_rank_matrix()
    85. sklearn.datasets.make_moons()
    86. sklearn.datasets.make_multilabel_classification()
    87. sklearn.datasets.make_regression()
    88. sklearn.datasets.make_s_curve()
    89. sklearn.datasets.make_sparse_coded_signal()
    90. sklearn.datasets.make_sparse_spd_matrix()
    91. sklearn.datasets.make_sparse_uncorrelated()
    92. sklearn.datasets.make_spd_matrix()
    93. sklearn.datasets.make_swiss_roll()
    94. sklearn.datasets.mldata_filename()
  8. decomposition
    1. decomposition.dict_learning_online()
    2. decomposition.dict_learning()
    3. decomposition.DictionaryLearning
    4. decomposition.DictionaryLearning.__init__()
    5. decomposition.DictionaryLearning.fit_transform()
    6. decomposition.DictionaryLearning.fit()
    7. decomposition.DictionaryLearning.get_params()
    8. decomposition.DictionaryLearning.set_params()
    9. decomposition.DictionaryLearning.transform()
    10. decomposition.DictionaryLearning()
    11. decomposition.FactorAnalysis
    12. decomposition.FactorAnalysis.__init__()
    13. decomposition.FactorAnalysis.fit_transform()
    14. decomposition.FactorAnalysis.fit()
    15. decomposition.FactorAnalysis.get_covariance()
    16. decomposition.FactorAnalysis.get_params()
    17. decomposition.FactorAnalysis.get_precision()
    18. decomposition.FactorAnalysis.score_samples()
    19. decomposition.FactorAnalysis.score()
    20. decomposition.FactorAnalysis.set_params()
    21. decomposition.FactorAnalysis.transform()
    22. decomposition.FactorAnalysis()
    23. decomposition.FastICA
    24. decomposition.FastICA.__init__()
    25. decomposition.FastICA.fit_transform()
    26. decomposition.FastICA.fit()
    27. decomposition.FastICA.get_params()
    28. decomposition.FastICA.inverse_transform()
    29. decomposition.FastICA.set_params()
    30. decomposition.FastICA.transform()
    31. decomposition.FastICA()
    32. decomposition.IncrementalPCA
    33. decomposition.IncrementalPCA.__init__()
    34. decomposition.IncrementalPCA.fit_transform()
    35. decomposition.IncrementalPCA.fit()
    36. decomposition.IncrementalPCA.get_covariance()
    37. decomposition.IncrementalPCA.get_params()
    38. decomposition.IncrementalPCA.get_precision()
    39. decomposition.IncrementalPCA.inverse_transform()
    40. decomposition.IncrementalPCA.partial_fit()
    41. decomposition.IncrementalPCA.set_params()
    42. decomposition.IncrementalPCA.transform()
    43. decomposition.IncrementalPCA()
    44. decomposition.KernelPCA
    45. decomposition.KernelPCA.__init__()
    46. decomposition.KernelPCA.fit_transform()
    47. decomposition.KernelPCA.fit()
    48. decomposition.KernelPCA.get_params()
    49. decomposition.KernelPCA.inverse_transform()
    50. decomposition.KernelPCA.set_params()
    51. decomposition.KernelPCA.transform()
    52. decomposition.KernelPCA()
    53. decomposition.LatentDirichletAllocation
    54. decomposition.LatentDirichletAllocation.__init__()
    55. decomposition.LatentDirichletAllocation.fit_transform()
    56. decomposition.LatentDirichletAllocation.fit()
    57. decomposition.LatentDirichletAllocation.get_params()
    58. decomposition.LatentDirichletAllocation.partial_fit()
    59. decomposition.LatentDirichletAllocation.perplexity()
    60. decomposition.LatentDirichletAllocation.score()
    61. decomposition.LatentDirichletAllocation.set_params()
    62. decomposition.LatentDirichletAllocation.transform()
    63. decomposition.LatentDirichletAllocation()
    64. decomposition.MiniBatchDictionaryLearning
    65. decomposition.MiniBatchDictionaryLearning.__init__()
    66. decomposition.MiniBatchDictionaryLearning.fit_transform()
    67. decomposition.MiniBatchDictionaryLearning.fit()
    68. decomposition.MiniBatchDictionaryLearning.get_params()
    69. decomposition.MiniBatchDictionaryLearning.partial_fit()
    70. decomposition.MiniBatchDictionaryLearning.set_params()
    71. decomposition.MiniBatchDictionaryLearning.transform()
    72. decomposition.MiniBatchDictionaryLearning()
    73. decomposition.MiniBatchSparsePCA
    74. decomposition.MiniBatchSparsePCA.__init__()
    75. decomposition.MiniBatchSparsePCA.fit_transform()
    76. decomposition.MiniBatchSparsePCA.fit()
    77. decomposition.MiniBatchSparsePCA.get_params()
    78. decomposition.MiniBatchSparsePCA.set_params()
    79. decomposition.MiniBatchSparsePCA.transform()
    80. decomposition.MiniBatchSparsePCA()
    81. decomposition.NMF
    82. decomposition.NMF.__init__()
    83. decomposition.NMF.fit_transform()
    84. decomposition.NMF.fit()
    85. decomposition.NMF.get_params()
    86. decomposition.NMF.inverse_transform()
    87. decomposition.NMF.set_params()
    88. decomposition.NMF.transform()
    89. decomposition.NMF()
    90. decomposition.PCA
    91. decomposition.PCA.__init__()
    92. decomposition.PCA.fit_transform()
    93. decomposition.PCA.fit()
    94. decomposition.PCA.get_covariance()
    95. decomposition.PCA.get_params()
    96. decomposition.PCA.get_precision()
    97. decomposition.PCA.inverse_transform()
    98. decomposition.PCA.score_samples()
    99. decomposition.PCA.score()
    100. decomposition.PCA.set_params()
    101. decomposition.PCA.transform()
    102. decomposition.PCA()
    103. decomposition.ProjectedGradientNMF
    104. decomposition.ProjectedGradientNMF.__init__()
    105. decomposition.ProjectedGradientNMF.fit_transform()
    106. decomposition.ProjectedGradientNMF.fit()
    107. decomposition.ProjectedGradientNMF.get_params()
    108. decomposition.ProjectedGradientNMF.inverse_transform()
    109. decomposition.ProjectedGradientNMF.set_params()
    110. decomposition.ProjectedGradientNMF.transform()
    111. decomposition.ProjectedGradientNMF()
    112. decomposition.RandomizedPCA
    113. decomposition.RandomizedPCA.__init__()
    114. decomposition.RandomizedPCA.fit_transform()
    115. decomposition.RandomizedPCA.fit()
    116. decomposition.RandomizedPCA.get_params()
    117. decomposition.RandomizedPCA.inverse_transform()
    118. decomposition.RandomizedPCA.set_params()
    119. decomposition.RandomizedPCA.transform()
    120. decomposition.RandomizedPCA()
    121. decomposition.sparse_encode()
    122. decomposition.SparseCoder
    123. decomposition.SparseCoder.__init__()
    124. decomposition.SparseCoder.fit_transform()
    125. decomposition.SparseCoder.fit()
    126. decomposition.SparseCoder.get_params()
    127. decomposition.SparseCoder.set_params()
    128. decomposition.SparseCoder.transform()
    129. decomposition.SparseCoder()
    130. decomposition.SparsePCA
    131. decomposition.SparsePCA.__init__()
    132. decomposition.SparsePCA.fit_transform()
    133. decomposition.SparsePCA.fit()
    134. decomposition.SparsePCA.get_params()
    135. decomposition.SparsePCA.set_params()
    136. decomposition.SparsePCA.transform()
    137. decomposition.SparsePCA()
    138. decomposition.TruncatedSVD
    139. decomposition.TruncatedSVD.__init__()
    140. decomposition.TruncatedSVD.fit_transform()
    141. decomposition.TruncatedSVD.fit()
    142. decomposition.TruncatedSVD.get_params()
    143. decomposition.TruncatedSVD.inverse_transform()
    144. decomposition.TruncatedSVD.set_params()
    145. decomposition.TruncatedSVD.transform()
    146. decomposition.TruncatedSVD()
    147. sklearn.decomposition.dict_learning_online()
    148. sklearn.decomposition.dict_learning()
    149. sklearn.decomposition.sparse_encode()
  9. discriminant_analysis
    1. discriminant_analysis.LinearDiscriminantAnalysis
    2. discriminant_analysis.LinearDiscriminantAnalysis.__init__()
    3. discriminant_analysis.LinearDiscriminantAnalysis.decision_function()
    4. discriminant_analysis.LinearDiscriminantAnalysis.fit_transform()
    5. discriminant_analysis.LinearDiscriminantAnalysis.fit()
    6. discriminant_analysis.LinearDiscriminantAnalysis.get_params()
    7. discriminant_analysis.LinearDiscriminantAnalysis.predict_log_proba()
    8. discriminant_analysis.LinearDiscriminantAnalysis.predict_proba()
    9. discriminant_analysis.LinearDiscriminantAnalysis.predict()
    10. discriminant_analysis.LinearDiscriminantAnalysis.score()
    11. discriminant_analysis.LinearDiscriminantAnalysis.set_params()
    12. discriminant_analysis.LinearDiscriminantAnalysis.transform()
    13. discriminant_analysis.LinearDiscriminantAnalysis()
    14. discriminant_analysis.QuadraticDiscriminantAnalysis
    15. discriminant_analysis.QuadraticDiscriminantAnalysis.__init__()
    16. discriminant_analysis.QuadraticDiscriminantAnalysis.decision_function()
    17. discriminant_analysis.QuadraticDiscriminantAnalysis.fit()
    18. discriminant_analysis.QuadraticDiscriminantAnalysis.get_params()
    19. discriminant_analysis.QuadraticDiscriminantAnalysis.predict_log_proba()
    20. discriminant_analysis.QuadraticDiscriminantAnalysis.predict_proba()
    21. discriminant_analysis.QuadraticDiscriminantAnalysis.predict()
    22. discriminant_analysis.QuadraticDiscriminantAnalysis.score()
    23. discriminant_analysis.QuadraticDiscriminantAnalysis.set_params()
    24. discriminant_analysis.QuadraticDiscriminantAnalysis()
  10. dummy
    1. dummy.DummyClassifier
    2. dummy.DummyClassifier.__init__()
    3. dummy.DummyClassifier.fit()
    4. dummy.DummyClassifier.get_params()
    5. dummy.DummyClassifier.predict_log_proba()
    6. dummy.DummyClassifier.predict_proba()
    7. dummy.DummyClassifier.predict()
    8. dummy.DummyClassifier.score()
    9. dummy.DummyClassifier.set_params()
    10. dummy.DummyClassifier()
    11. dummy.DummyRegressor
    12. dummy.DummyRegressor.__init__()
    13. dummy.DummyRegressor.fit()
    14. dummy.DummyRegressor.get_params()
    15. dummy.DummyRegressor.predict()
    16. dummy.DummyRegressor.score()
    17. dummy.DummyRegressor.set_params()
    18. dummy.DummyRegressor()
  11. ensemble
    1. ensemble.AdaBoostClassifier
    2. ensemble.AdaBoostClassifier.__init__()
    3. ensemble.AdaBoostClassifier.decision_function()
    4. ensemble.AdaBoostClassifier.feature_importances_
    5. ensemble.AdaBoostClassifier.fit()
    6. ensemble.AdaBoostClassifier.get_params()
    7. ensemble.AdaBoostClassifier.predict_log_proba()
    8. ensemble.AdaBoostClassifier.predict_proba()
    9. ensemble.AdaBoostClassifier.predict()
    10. ensemble.AdaBoostClassifier.score()
    11. ensemble.AdaBoostClassifier.set_params()
    12. ensemble.AdaBoostClassifier.staged_decision_function()
    13. ensemble.AdaBoostClassifier.staged_predict_proba()
    14. ensemble.AdaBoostClassifier.staged_predict()
    15. ensemble.AdaBoostClassifier.staged_score()
    16. ensemble.AdaBoostClassifier()
    17. ensemble.AdaBoostRegressor
    18. ensemble.AdaBoostRegressor.__init__()
    19. ensemble.AdaBoostRegressor.feature_importances_
    20. ensemble.AdaBoostRegressor.fit()
    21. ensemble.AdaBoostRegressor.get_params()
    22. ensemble.AdaBoostRegressor.predict()
    23. ensemble.AdaBoostRegressor.score()
    24. ensemble.AdaBoostRegressor.set_params()
    25. ensemble.AdaBoostRegressor.staged_predict()
    26. ensemble.AdaBoostRegressor.staged_score()
    27. ensemble.AdaBoostRegressor()
    28. ensemble.BaggingClassifier
    29. ensemble.BaggingClassifier.__init__()
    30. ensemble.BaggingClassifier.decision_function()
    31. ensemble.BaggingClassifier.estimators_samples_
    32. ensemble.BaggingClassifier.fit()
    33. ensemble.BaggingClassifier.get_params()
    34. ensemble.BaggingClassifier.predict_log_proba()
    35. ensemble.BaggingClassifier.predict_proba()
    36. ensemble.BaggingClassifier.predict()
    37. ensemble.BaggingClassifier.score()
    38. ensemble.BaggingClassifier.set_params()
    39. ensemble.BaggingClassifier()
    40. ensemble.BaggingRegressor
    41. ensemble.BaggingRegressor.__init__()
    42. ensemble.BaggingRegressor.estimators_samples_
    43. ensemble.BaggingRegressor.fit()
    44. ensemble.BaggingRegressor.get_params()
    45. ensemble.BaggingRegressor.predict()
    46. ensemble.BaggingRegressor.score()
    47. ensemble.BaggingRegressor.set_params()
    48. ensemble.BaggingRegressor()
    49. ensemble.ExtraTreesClassifier
    50. ensemble.ExtraTreesClassifier.__init__()
    51. ensemble.ExtraTreesClassifier.apply()
    52. ensemble.ExtraTreesClassifier.decision_path()
    53. ensemble.ExtraTreesClassifier.feature_importances_
    54. ensemble.ExtraTreesClassifier.fit_transform()
    55. ensemble.ExtraTreesClassifier.fit()
    56. ensemble.ExtraTreesClassifier.get_params()
    57. ensemble.ExtraTreesClassifier.predict_log_proba()
    58. ensemble.ExtraTreesClassifier.predict_proba()
    59. ensemble.ExtraTreesClassifier.predict()
    60. ensemble.ExtraTreesClassifier.score()
    61. ensemble.ExtraTreesClassifier.set_params()
    62. ensemble.ExtraTreesClassifier.transform()
    63. ensemble.ExtraTreesClassifier()
    64. ensemble.ExtraTreesRegressor
    65. ensemble.ExtraTreesRegressor.__init__()
    66. ensemble.ExtraTreesRegressor.apply()
    67. ensemble.ExtraTreesRegressor.decision_path()
    68. ensemble.ExtraTreesRegressor.feature_importances_
    69. ensemble.ExtraTreesRegressor.fit_transform()
    70. ensemble.ExtraTreesRegressor.fit()
    71. ensemble.ExtraTreesRegressor.get_params()
    72. ensemble.ExtraTreesRegressor.predict()
    73. ensemble.ExtraTreesRegressor.score()
    74. ensemble.ExtraTreesRegressor.set_params()
    75. ensemble.ExtraTreesRegressor.transform()
    76. ensemble.ExtraTreesRegressor()
    77. ensemble.GradientBoostingClassifier
    78. ensemble.GradientBoostingClassifier.__init__()
    79. ensemble.GradientBoostingClassifier.apply()
    80. ensemble.GradientBoostingClassifier.decision_function()
    81. ensemble.GradientBoostingClassifier.feature_importances_
    82. ensemble.GradientBoostingClassifier.fit_transform()
    83. ensemble.GradientBoostingClassifier.fit()
    84. ensemble.GradientBoostingClassifier.get_params()
    85. ensemble.GradientBoostingClassifier.predict_log_proba()
    86. ensemble.GradientBoostingClassifier.predict_proba()
    87. ensemble.GradientBoostingClassifier.predict()
    88. ensemble.GradientBoostingClassifier.score()
    89. ensemble.GradientBoostingClassifier.set_params()
    90. ensemble.GradientBoostingClassifier.staged_decision_function()
    91. ensemble.GradientBoostingClassifier.staged_predict_proba()
    92. ensemble.GradientBoostingClassifier.staged_predict()
    93. ensemble.GradientBoostingClassifier.transform()
    94. ensemble.GradientBoostingClassifier()
    95. ensemble.GradientBoostingRegressor
    96. ensemble.GradientBoostingRegressor.__init__()
    97. ensemble.GradientBoostingRegressor.apply()
    98. ensemble.GradientBoostingRegressor.decision_function()
    99. ensemble.GradientBoostingRegressor.feature_importances_
    100. ensemble.GradientBoostingRegressor.fit_transform()
    101. ensemble.GradientBoostingRegressor.fit()
    102. ensemble.GradientBoostingRegressor.get_params()
    103. ensemble.GradientBoostingRegressor.predict()
    104. ensemble.GradientBoostingRegressor.score()
    105. ensemble.GradientBoostingRegressor.set_params()
    106. ensemble.GradientBoostingRegressor.staged_decision_function()
    107. ensemble.GradientBoostingRegressor.staged_predict()
    108. ensemble.GradientBoostingRegressor.transform()
    109. ensemble.GradientBoostingRegressor()
    110. ensemble.IsolationForest
    111. ensemble.IsolationForest.__init__()
    112. ensemble.IsolationForest.decision_function()
    113. ensemble.IsolationForest.estimators_samples_
    114. ensemble.IsolationForest.fit()
    115. ensemble.IsolationForest.get_params()
    116. ensemble.IsolationForest.predict()
    117. ensemble.IsolationForest.set_params()
    118. ensemble.IsolationForest()
    119. ensemble.RandomForestClassifier
    120. ensemble.RandomForestClassifier.__init__()
    121. ensemble.RandomForestClassifier.apply()
    122. ensemble.RandomForestClassifier.decision_path()
    123. ensemble.RandomForestClassifier.feature_importances_
    124. ensemble.RandomForestClassifier.fit_transform()
    125. ensemble.RandomForestClassifier.fit()
    126. ensemble.RandomForestClassifier.get_params()
    127. ensemble.RandomForestClassifier.predict_log_proba()
    128. ensemble.RandomForestClassifier.predict_proba()
    129. ensemble.RandomForestClassifier.predict()
    130. ensemble.RandomForestClassifier.score()
    131. ensemble.RandomForestClassifier.set_params()
    132. ensemble.RandomForestClassifier.transform()
    133. ensemble.RandomForestClassifier()
    134. ensemble.RandomForestRegressor
    135. ensemble.RandomForestRegressor.__init__()
    136. ensemble.RandomForestRegressor.apply()
    137. ensemble.RandomForestRegressor.decision_path()
    138. ensemble.RandomForestRegressor.feature_importances_
    139. ensemble.RandomForestRegressor.fit_transform()
    140. ensemble.RandomForestRegressor.fit()
    141. ensemble.RandomForestRegressor.get_params()
    142. ensemble.RandomForestRegressor.predict()
    143. ensemble.RandomForestRegressor.score()
    144. ensemble.RandomForestRegressor.set_params()
    145. ensemble.RandomForestRegressor.transform()
    146. ensemble.RandomForestRegressor()
    147. ensemble.RandomTreesEmbedding
    148. ensemble.RandomTreesEmbedding.__init__()
    149. ensemble.RandomTreesEmbedding.apply()
    150. ensemble.RandomTreesEmbedding.decision_path()
    151. ensemble.RandomTreesEmbedding.feature_importances_
    152. ensemble.RandomTreesEmbedding.fit_transform()
    153. ensemble.RandomTreesEmbedding.fit()
    154. ensemble.RandomTreesEmbedding.get_params()
    155. ensemble.RandomTreesEmbedding.set_params()
    156. ensemble.RandomTreesEmbedding.transform()
    157. ensemble.RandomTreesEmbedding()
    158. ensemble.VotingClassifier
    159. ensemble.VotingClassifier.__init__()
    160. ensemble.VotingClassifier.fit_transform()
    161. ensemble.VotingClassifier.fit()
    162. ensemble.VotingClassifier.get_params()
    163. ensemble.VotingClassifier.predict_proba
    164. ensemble.VotingClassifier.predict()
    165. ensemble.VotingClassifier.score()
    166. ensemble.VotingClassifier.set_params()
    167. ensemble.VotingClassifier.transform()
    168. ensemble.VotingClassifier()
  12. ensemble.partial_dependence
    1. ensemble.partial_dependence.partial_dependence()
    2. ensemble.partial_dependence.plot_partial_dependence()
    3. sklearn.ensemble.partial_dependence.partial_dependence()
    4. sklearn.ensemble.partial_dependence.plot_partial_dependence()
  13. Examples
    1. Example: A demo of K-Means clustering on the handwritten digits data
    2. Example: A demo of structured Ward hierarchical clustering on a raccoon face image
    3. Example: A demo of the mean-shift clustering algorithm
    4. Example: A demo of the Spectral Biclustering algorithm
    5. Example: A demo of the Spectral Co-Clustering algorithm
    6. Example: Adjustment for chance in clustering performance evaluation
    7. Example: Agglomerative clustering with and without structure
    8. Example: Agglomerative clustering with different metrics
    9. Example: Automatic Relevance Determination Regression
    10. Example: Bayesian Ridge Regression
    11. Example: Biclustering documents with the Spectral Co-clustering algorithm
    12. Example: Blind source separation using FastICA
    13. Example: Classification of text documents
    14. Example: Classification of text documents using sparse features
    15. Example: Classifier comparison
    16. Example: Clustering text documents using k-means
    17. Example: Color Quantization using K-Means
    18. Example: Compare BIRCH and MiniBatchKMeans
    19. Example: Compare cross decomposition methods
    20. Example: Compare Stochastic learning strategies for MLPClassifier
    21. Example: Comparing different clustering algorithms on toy datasets
    22. Example: Comparing random forests and the multi-output meta estimator
    23. Example: Comparing randomized search and grid search for hyperparameter estimation
    24. Example: Comparing various online solvers
    25. Example: Comparison of Calibration of Classifiers
    26. Example: Comparison of F-test and mutual information
    27. Example: Comparison of kernel ridge and Gaussian process regression
    28. Example: Comparison of kernel ridge regression and SVR
    29. Example: Comparison of LDA and PCA 2D projection of Iris dataset
    30. Example: Comparison of Manifold Learning methods
    31. Example: Comparison of the K-Means and MiniBatchKMeans clustering algorithms
    32. Example: Compressive sensing
    33. Example: Concatenating multiple feature extraction methods
    34. Example: Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture
    35. Example: Confusion matrix
    36. Example: Cross-validation on diabetes Dataset Exercise
    37. Example: Cross-validation on Digits Dataset Exercise
    38. Example: Decision boundary of label propagation versus SVM on the Iris dataset
    39. Example: Decision Tree Regression
    40. Example: Decision Tree Regression with AdaBoost
    41. Example: Demo of affinity propagation clustering algorithm
    42. Example: Demo of DBSCAN clustering algorithm
    43. Example: Demonstration of k-means assumptions
    44. Example: Density Estimation for a Gaussian mixture
    45. Example: Digits Classification Exercise
    46. Example: Discrete versus Real AdaBoost
    47. Example: Empirical evaluation of the impact of k-means initialization
    48. Example: Explicit feature map approximation for RBF kernels
    49. Example: Face completion with a multi-output estimators
    50. Example: Faces dataset decompositions
    51. Example: Faces recognition example using eigenfaces and SVMs
    52. Example: FastICA on 2D point clouds
    53. Example: Feature agglomeration
    54. Example: Feature agglomeration vs. univariate selection
    55. Example: Feature importances with forests of trees
    56. Example: Feature selection using SelectFromModel and LassoCV
    57. Example: Feature transformations with ensembles of trees
    58. Example: Feature Union with Heterogeneous Data Sources
    59. Example: FeatureHasher and DictVectorizer Comparison
    60. Example: Gaussian Mixture Model Ellipsoids
    61. Example: Gaussian Mixture Model Selection
    62. Example: Gaussian Mixture Model Sine Curve
    63. Example: Gaussian process classification on iris dataset
    64. Example: Gaussian process regression on Mauna Loa CO2 data.
    65. Example: Gaussian process regression with noise-level estimation
    66. Example: Gaussian Processes regression
    67. Example: GMM covariances
    68. Example: Gradient Boosting Out-of-Bag estimates
    69. Example: Gradient Boosting regression
    70. Example: Gradient Boosting regularization
    71. Example: Hashing feature transformation using Totally Random Trees
    72. Example: Hierarchical clustering
    73. Example: HuberRegressor vs Ridge on dataset with strong outliers
    74. Example: Hyper-parameters of Approximate Nearest Neighbors
    75. Example: Illustration of Gaussian process classification on the XOR dataset
    76. Example: Illustration of prior and posterior Gaussian process for different kernels
    77. Example: Image denoising using dictionary learning
    78. Example: Imputing missing values before building an estimator
    79. Example: Incremental PCA
    80. Example: Iso-probability lines for Gaussian Processes classification
    81. Example: IsolationForest example
    82. Example: Isotonic Regression
    83. Example: Joint feature selection with multi-task Lasso
    84. Example: K-means Clustering
    85. Example: Kernel Density Estimate of Species Distributions
    86. Example: Kernel Density Estimation
    87. Example: Kernel PCA
    88. Example: L1 Penalty and Sparsity in Logistic Regression
    89. Example: Label Propagation digits
    90. Example: Label Propagation digits active learning
    91. Example: Label Propagation learning a complex structure
    92. Example: Lasso and Elastic Net
    93. Example: Lasso and Elastic Net for Sparse Signals
    94. Example: Lasso model selection
    95. Example: Lasso on dense and sparse data
    96. Example: Lasso path using LARS
    97. Example: Ledoit-Wolf vs OAS estimation
    98. Example: Libsvm GUI
    99. Example: Linear and Quadratic Discriminant Analysis with confidence ellipsoid
    100. Example: Linear Regression Example
    101. Example: Logistic Regression 3-class Classifier
    102. Example: Logit function
    103. Example: Manifold Learning methods on a severed sphere
    104. Example: Manifold learning on handwritten digits
    105. Example: Model Complexity Influence
    106. Example: Model selection with Probabilistic PCA and Factor Analysis
    107. Example: Multi-class AdaBoosted Decision Trees
    108. Example: Multi-dimensional scaling
    109. Example: Multi-output Decision Tree Regression
    110. Example: Multilabel classification
    111. Example: Nearest Centroid Classification
    112. Example: Nearest Neighbors Classification
    113. Example: Nearest Neighbors regression
    114. Example: Nested versus non-nested cross-validation
    115. Example: Non-linear SVM
    116. Example: Normal and Shrinkage Linear Discriminant Analysis for classification
    117. Example: One-class SVM with non-linear kernel
    118. Example: Online learning of a dictionary of parts of faces
    119. Example: OOB Errors for Random Forests
    120. Example: Ordinary Least Squares and Ridge Regression Variance
    121. Example: Orthogonal Matching Pursuit
    122. Example: Out-of-core classification of text documents
    123. Example: Outlier detection on a real data set
    124. Example: Outlier detection with several methods.
    125. Example: Parameter estimation using grid search with cross-validation
    126. Example: Partial Dependence Plots
    127. Example: Path with L1- Logistic Regression
    128. Example: PCA example with Iris Data-set
    129. Example: Pipeline Anova SVM
    130. Example: Pipelining
    131. Example: Pixel importances with a parallel forest of trees
    132. Example: Plot class probabilities calculated by the VotingClassifier
    133. Example: Plot classification probability
    134. Example: Plot different SVM classifiers in the iris dataset
    135. Example: Plot multi-class SGD on the iris dataset
    136. Example: Plot multinomial and One-vs-Rest Logistic Regression
    137. Example: Plot randomly generated classification dataset
    138. Example: Plot randomly generated multilabel dataset
    139. Example: Plot Ridge coefficients as a function of the L2 regularization
    140. Example: Plot Ridge coefficients as a function of the regularization
    141. Example: Plot the decision boundaries of a VotingClassifier
    142. Example: Plot the decision surface of a decision tree on the iris dataset
    143. Example: Plot the decision surfaces of ensembles of trees on the iris dataset
    144. Example: Plotting Cross-Validated Predictions
    145. Example: Plotting Learning Curves
    146. Example: Plotting Validation Curves
    147. Example: Polynomial interpolation
    148. Example: Precision-Recall
    149. Example: Prediction Intervals for Gradient Boosting Regression
    150. Example: Prediction Latency
    151. Example: Principal components analysis
    152. Example: Probabilistic predictions with Gaussian process classification
    153. Example: Probability Calibration curves
    154. Example: Probability Calibration for 3-class classification
    155. Example: Probability calibration of classifiers
    156. Example: RBF SVM parameters
    157. Example: Receiver Operating Characteristic
    158. Example: Receiver Operating Characteristic with cross validation
    159. Example: Recognizing hand-written digits
    160. Example: Recursive feature elimination
    161. Example: Recursive feature elimination with cross-validation
    162. Example: Restricted Boltzmann Machine features for digit classification
    163. Example: Robust covariance estimation and Mahalanobis distances relevance
    164. Example: Robust linear estimator fitting
    165. Example: Robust linear model estimation using RANSAC
    166. Example: Robust Scaling on Toy Data
    167. Example: Robust vs Empirical covariance estimate
    168. Example: Sample pipeline for text feature extraction and evaluation
    169. Example: Scalability of Approximate Nearest Neighbors
    170. Example: Scaling the regularization parameter for SVCs
    171. Example: Segmenting the picture of a raccoon face in regions
    172. Example: Selecting dimensionality reduction with Pipeline and GridSearchCV
    173. Example: Selecting the number of clusters with silhouette analysis on KMeans clustering
    174. Example: SGD: convex loss functions
    175. Example: SGD: Maximum margin separating hyperplane
    176. Example: SGD: Penalties
    177. Example: SGD: Weighted samples
    178. Example: Shrinkage covariance estimation
    179. Example: Simple 1D Kernel Density Estimation
    180. Example: Single estimator versus bagging
    181. Example: Sparse coding with a precomputed dictionary
    182. Example: Sparse inverse covariance estimation
    183. Example: Sparse recovery
    184. Example: Sparsity Example
    185. Example: Species distribution modeling
    186. Example: Spectral clustering for image segmentation
    187. Example: Support Vector Regression using linear and non-linear kernels
    188. Example: SVM Exercise
    189. Example: SVM Margins Example
    190. Example: SVM with custom kernel
    191. Example: SVM-Anova
    192. Example: SVM-Kernels
    193. Example: SVM: Maximum margin separating hyperplane
    194. Example: SVM: Separating hyperplane for unbalanced classes
    195. Example: SVM: Weighted samples
    196. Example: Swiss Roll reduction with LLE
    197. Example: Test with permutations the significance of a classification score
    198. Example: The Digit Dataset
    199. Example: The Iris Dataset
    200. Example: The Johnson-Lindenstrauss bound for embedding with random projections
    201. Example: Theil-Sen Regression
    202. Example: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation
    203. Example: Train error vs Test error
    204. Example: Two-class AdaBoost
    205. Example: Underfitting vs. Overfitting
    206. Example: Understanding the decision tree structure
    207. Example: Univariate Feature Selection
    208. Example: Using FunctionTransformer to select columns
    209. Example: Various Agglomerative Clustering on a 2D embedding of digits
    210. Example: Varying regularization in Multi-layer Perceptron
    211. Example: Vector Quantization Example
    212. Example: Visualization of MLP weights on MNIST
    213. Example: Visualizing the stock market structure
  14. exceptions
    1. exceptions.ChangedBehaviorWarning
    2. exceptions.ChangedBehaviorWarning
    3. exceptions.ConvergenceWarning
    4. exceptions.ConvergenceWarning
    5. exceptions.DataConversionWarning
    6. exceptions.DataConversionWarning
    7. exceptions.DataDimensionalityWarning
    8. exceptions.DataDimensionalityWarning
    9. exceptions.EfficiencyWarning
    10. exceptions.EfficiencyWarning
    11. exceptions.FitFailedWarning
    12. exceptions.FitFailedWarning
    13. exceptions.NonBLASDotWarning
    14. exceptions.NonBLASDotWarning
    15. exceptions.NotFittedError
    16. exceptions.NotFittedError
    17. exceptions.UndefinedMetricWarning
    18. exceptions.UndefinedMetricWarning
  15. feature_extraction
    1. feature_extraction.DictVectorizer
    2. feature_extraction.DictVectorizer.__init__()
    3. feature_extraction.DictVectorizer.fit_transform()
    4. feature_extraction.DictVectorizer.fit()
    5. feature_extraction.DictVectorizer.get_feature_names()
    6. feature_extraction.DictVectorizer.get_params()
    7. feature_extraction.DictVectorizer.inverse_transform()
    8. feature_extraction.DictVectorizer.restrict()
    9. feature_extraction.DictVectorizer.set_params()
    10. feature_extraction.DictVectorizer.transform()
    11. feature_extraction.DictVectorizer()
    12. feature_extraction.FeatureHasher
    13. feature_extraction.FeatureHasher.__init__()
    14. feature_extraction.FeatureHasher.fit_transform()
    15. feature_extraction.FeatureHasher.fit()
    16. feature_extraction.FeatureHasher.get_params()
    17. feature_extraction.FeatureHasher.set_params()
    18. feature_extraction.FeatureHasher.transform()
    19. feature_extraction.FeatureHasher()
  16. feature_extraction.image
    1. feature_extraction.image.extract_patches_2d()
    2. feature_extraction.image.grid_to_graph()
    3. feature_extraction.image.img_to_graph()
    4. feature_extraction.image.PatchExtractor
    5. feature_extraction.image.PatchExtractor.__init__()
    6. feature_extraction.image.PatchExtractor.fit()
    7. feature_extraction.image.PatchExtractor.get_params()
    8. feature_extraction.image.PatchExtractor.set_params()
    9. feature_extraction.image.PatchExtractor.transform()
    10. feature_extraction.image.PatchExtractor()
    11. feature_extraction.image.reconstruct_from_patches_2d()
    12. sklearn.feature_extraction.image.extract_patches_2d()
    13. sklearn.feature_extraction.image.grid_to_graph()
    14. sklearn.feature_extraction.image.img_to_graph()
    15. sklearn.feature_extraction.image.reconstruct_from_patches_2d()
  17. feature_extraction.text
    1. feature_extraction.text.CountVectorizer
    2. feature_extraction.text.CountVectorizer.__init__()
    3. feature_extraction.text.CountVectorizer.build_analyzer()
    4. feature_extraction.text.CountVectorizer.build_preprocessor()
    5. feature_extraction.text.CountVectorizer.build_tokenizer()
    6. feature_extraction.text.CountVectorizer.decode()
    7. feature_extraction.text.CountVectorizer.fit_transform()
    8. feature_extraction.text.CountVectorizer.fit()
    9. feature_extraction.text.CountVectorizer.get_feature_names()
    10. feature_extraction.text.CountVectorizer.get_params()
    11. feature_extraction.text.CountVectorizer.get_stop_words()
    12. feature_extraction.text.CountVectorizer.inverse_transform()
    13. feature_extraction.text.CountVectorizer.set_params()
    14. feature_extraction.text.CountVectorizer.transform()
    15. feature_extraction.text.CountVectorizer()
    16. feature_extraction.text.HashingVectorizer
    17. feature_extraction.text.HashingVectorizer.__init__()
    18. feature_extraction.text.HashingVectorizer.build_analyzer()
    19. feature_extraction.text.HashingVectorizer.build_preprocessor()
    20. feature_extraction.text.HashingVectorizer.build_tokenizer()
    21. feature_extraction.text.HashingVectorizer.decode()
    22. feature_extraction.text.HashingVectorizer.fit_transform()
    23. feature_extraction.text.HashingVectorizer.fit()
    24. feature_extraction.text.HashingVectorizer.get_params()
    25. feature_extraction.text.HashingVectorizer.get_stop_words()
    26. feature_extraction.text.HashingVectorizer.partial_fit()
    27. feature_extraction.text.HashingVectorizer.set_params()
    28. feature_extraction.text.HashingVectorizer.transform()
    29. feature_extraction.text.HashingVectorizer()
    30. feature_extraction.text.TfidfTransformer
    31. feature_extraction.text.TfidfTransformer.__init__()
    32. feature_extraction.text.TfidfTransformer.fit_transform()
    33. feature_extraction.text.TfidfTransformer.fit()
    34. feature_extraction.text.TfidfTransformer.get_params()
    35. feature_extraction.text.TfidfTransformer.set_params()
    36. feature_extraction.text.TfidfTransformer.transform()
    37. feature_extraction.text.TfidfTransformer()
    38. feature_extraction.text.TfidfVectorizer
    39. feature_extraction.text.TfidfVectorizer.__init__()
    40. feature_extraction.text.TfidfVectorizer.build_analyzer()
    41. feature_extraction.text.TfidfVectorizer.build_preprocessor()
    42. feature_extraction.text.TfidfVectorizer.build_tokenizer()
    43. feature_extraction.text.TfidfVectorizer.decode()
    44. feature_extraction.text.TfidfVectorizer.fit_transform()
    45. feature_extraction.text.TfidfVectorizer.fit()
    46. feature_extraction.text.TfidfVectorizer.get_feature_names()
    47. feature_extraction.text.TfidfVectorizer.get_params()
    48. feature_extraction.text.TfidfVectorizer.get_stop_words()
    49. feature_extraction.text.TfidfVectorizer.inverse_transform()
    50. feature_extraction.text.TfidfVectorizer.set_params()
    51. feature_extraction.text.TfidfVectorizer.transform()
    52. feature_extraction.text.TfidfVectorizer()
  18. feature_selection
    1. feature_selection.chi2()
    2. feature_selection.f_classif()
    3. feature_selection.f_regression()
    4. feature_selection.GenericUnivariateSelect
    5. feature_selection.GenericUnivariateSelect.__init__()
    6. feature_selection.GenericUnivariateSelect.fit_transform()
    7. feature_selection.GenericUnivariateSelect.fit()
    8. feature_selection.GenericUnivariateSelect.get_params()
    9. feature_selection.GenericUnivariateSelect.get_support()
    10. feature_selection.GenericUnivariateSelect.inverse_transform()
    11. feature_selection.GenericUnivariateSelect.set_params()
    12. feature_selection.GenericUnivariateSelect.transform()
    13. feature_selection.GenericUnivariateSelect()
    14. feature_selection.mutual_info_classif()
    15. feature_selection.mutual_info_regression()
    16. feature_selection.RFE
    17. feature_selection.RFE.__init__()
    18. feature_selection.RFE.fit_transform()
    19. feature_selection.RFE.fit()
    20. feature_selection.RFE.get_params()
    21. feature_selection.RFE.get_support()
    22. feature_selection.RFE.inverse_transform()
    23. feature_selection.RFE.predict()
    24. feature_selection.RFE.score()
    25. feature_selection.RFE.set_params()
    26. feature_selection.RFE.transform()
    27. feature_selection.RFE()
    28. feature_selection.RFECV
    29. feature_selection.RFECV.__init__()
    30. feature_selection.RFECV.fit_transform()
    31. feature_selection.RFECV.fit()
    32. feature_selection.RFECV.get_params()
    33. feature_selection.RFECV.get_support()
    34. feature_selection.RFECV.inverse_transform()
    35. feature_selection.RFECV.predict()
    36. feature_selection.RFECV.score()
    37. feature_selection.RFECV.set_params()
    38. feature_selection.RFECV.transform()
    39. feature_selection.RFECV()
    40. feature_selection.SelectFdr
    41. feature_selection.SelectFdr.__init__()
    42. feature_selection.SelectFdr.fit_transform()
    43. feature_selection.SelectFdr.fit()
    44. feature_selection.SelectFdr.get_params()
    45. feature_selection.SelectFdr.get_support()
    46. feature_selection.SelectFdr.inverse_transform()
    47. feature_selection.SelectFdr.set_params()
    48. feature_selection.SelectFdr.transform()
    49. feature_selection.SelectFdr()
    50. feature_selection.SelectFpr
    51. feature_selection.SelectFpr.__init__()
    52. feature_selection.SelectFpr.fit_transform()
    53. feature_selection.SelectFpr.fit()
    54. feature_selection.SelectFpr.get_params()
    55. feature_selection.SelectFpr.get_support()
    56. feature_selection.SelectFpr.inverse_transform()
    57. feature_selection.SelectFpr.set_params()
    58. feature_selection.SelectFpr.transform()
    59. feature_selection.SelectFpr()
    60. feature_selection.SelectFromModel
    61. feature_selection.SelectFromModel.__init__()
    62. feature_selection.SelectFromModel.fit_transform()
    63. feature_selection.SelectFromModel.fit()
    64. feature_selection.SelectFromModel.get_params()
    65. feature_selection.SelectFromModel.get_support()
    66. feature_selection.SelectFromModel.inverse_transform()
    67. feature_selection.SelectFromModel.partial_fit()
    68. feature_selection.SelectFromModel.set_params()
    69. feature_selection.SelectFromModel.transform()
    70. feature_selection.SelectFromModel()
    71. feature_selection.SelectFwe
    72. feature_selection.SelectFwe.__init__()
    73. feature_selection.SelectFwe.fit_transform()
    74. feature_selection.SelectFwe.fit()
    75. feature_selection.SelectFwe.get_params()
    76. feature_selection.SelectFwe.get_support()
    77. feature_selection.SelectFwe.inverse_transform()
    78. feature_selection.SelectFwe.set_params()
    79. feature_selection.SelectFwe.transform()
    80. feature_selection.SelectFwe()
    81. feature_selection.SelectKBest
    82. feature_selection.SelectKBest.__init__()
    83. feature_selection.SelectKBest.fit_transform()
    84. feature_selection.SelectKBest.fit()
    85. feature_selection.SelectKBest.get_params()
    86. feature_selection.SelectKBest.get_support()
    87. feature_selection.SelectKBest.inverse_transform()
    88. feature_selection.SelectKBest.set_params()
    89. feature_selection.SelectKBest.transform()
    90. feature_selection.SelectKBest()
    91. feature_selection.SelectPercentile
    92. feature_selection.SelectPercentile.__init__()
    93. feature_selection.SelectPercentile.fit_transform()
    94. feature_selection.SelectPercentile.fit()
    95. feature_selection.SelectPercentile.get_params()
    96. feature_selection.SelectPercentile.get_support()
    97. feature_selection.SelectPercentile.inverse_transform()
    98. feature_selection.SelectPercentile.set_params()
    99. feature_selection.SelectPercentile.transform()
    100. feature_selection.SelectPercentile()
    101. feature_selection.VarianceThreshold
    102. feature_selection.VarianceThreshold.__init__()
    103. feature_selection.VarianceThreshold.fit_transform()
    104. feature_selection.VarianceThreshold.fit()
    105. feature_selection.VarianceThreshold.get_params()
    106. feature_selection.VarianceThreshold.get_support()
    107. feature_selection.VarianceThreshold.inverse_transform()
    108. feature_selection.VarianceThreshold.set_params()
    109. feature_selection.VarianceThreshold.transform()
    110. feature_selection.VarianceThreshold()
    111. sklearn.feature_selection.chi2()
    112. sklearn.feature_selection.f_classif()
    113. sklearn.feature_selection.f_regression()
    114. sklearn.feature_selection.mutual_info_classif()
    115. sklearn.feature_selection.mutual_info_regression()
  19. gaussian_process
    1. gaussian_process.GaussianProcess
    2. gaussian_process.GaussianProcess.__init__()
    3. gaussian_process.GaussianProcess.fit()
    4. gaussian_process.GaussianProcess.get_params()
    5. gaussian_process.GaussianProcess.predict()
    6. gaussian_process.GaussianProcess.reduced_likelihood_function()
    7. gaussian_process.GaussianProcess.score()
    8. gaussian_process.GaussianProcess.set_params()
    9. gaussian_process.GaussianProcess()
    10. gaussian_process.GaussianProcessClassifier
    11. gaussian_process.GaussianProcessClassifier.__init__()
    12. gaussian_process.GaussianProcessClassifier.fit()
    13. gaussian_process.GaussianProcessClassifier.get_params()
    14. gaussian_process.GaussianProcessClassifier.log_marginal_likelihood()
    15. gaussian_process.GaussianProcessClassifier.predict_proba()
    16. gaussian_process.GaussianProcessClassifier.predict()
    17. gaussian_process.GaussianProcessClassifier.score()
    18. gaussian_process.GaussianProcessClassifier.set_params()
    19. gaussian_process.GaussianProcessClassifier()
    20. gaussian_process.GaussianProcessRegressor
    21. gaussian_process.GaussianProcessRegressor.__init__()
    22. gaussian_process.GaussianProcessRegressor.fit()
    23. gaussian_process.GaussianProcessRegressor.get_params()
    24. gaussian_process.GaussianProcessRegressor.log_marginal_likelihood()
    25. gaussian_process.GaussianProcessRegressor.predict()
    26. gaussian_process.GaussianProcessRegressor.sample_y()
    27. gaussian_process.GaussianProcessRegressor.score()
    28. gaussian_process.GaussianProcessRegressor.set_params()
    29. gaussian_process.GaussianProcessRegressor()
  20. gaussian_process.kernels
    1. gaussian_process.kernels.CompoundKernel
    2. gaussian_process.kernels.CompoundKernel.__init__()
    3. gaussian_process.kernels.CompoundKernel.bounds
    4. gaussian_process.kernels.CompoundKernel.clone_with_theta()
    5. gaussian_process.kernels.CompoundKernel.diag()
    6. gaussian_process.kernels.CompoundKernel.get_params()
    7. gaussian_process.kernels.CompoundKernel.hyperparameters
    8. gaussian_process.kernels.CompoundKernel.is_stationary()
    9. gaussian_process.kernels.CompoundKernel.n_dims
    10. gaussian_process.kernels.CompoundKernel.set_params()
    11. gaussian_process.kernels.CompoundKernel.theta
    12. gaussian_process.kernels.CompoundKernel()
    13. gaussian_process.kernels.ConstantKernel
    14. gaussian_process.kernels.ConstantKernel.__init__()
    15. gaussian_process.kernels.ConstantKernel.bounds
    16. gaussian_process.kernels.ConstantKernel.clone_with_theta()
    17. gaussian_process.kernels.ConstantKernel.diag()
    18. gaussian_process.kernels.ConstantKernel.get_params()
    19. gaussian_process.kernels.ConstantKernel.hyperparameters
    20. gaussian_process.kernels.ConstantKernel.is_stationary()
    21. gaussian_process.kernels.ConstantKernel.n_dims
    22. gaussian_process.kernels.ConstantKernel.set_params()
    23. gaussian_process.kernels.ConstantKernel.theta
    24. gaussian_process.kernels.ConstantKernel()
    25. gaussian_process.kernels.DotProduct
    26. gaussian_process.kernels.DotProduct.__init__()
    27. gaussian_process.kernels.DotProduct.bounds
    28. gaussian_process.kernels.DotProduct.clone_with_theta()
    29. gaussian_process.kernels.DotProduct.diag()
    30. gaussian_process.kernels.DotProduct.get_params()
    31. gaussian_process.kernels.DotProduct.hyperparameters
    32. gaussian_process.kernels.DotProduct.is_stationary()
    33. gaussian_process.kernels.DotProduct.n_dims
    34. gaussian_process.kernels.DotProduct.set_params()
    35. gaussian_process.kernels.DotProduct.theta
    36. gaussian_process.kernels.DotProduct()
    37. gaussian_process.kernels.Exponentiation
    38. gaussian_process.kernels.Exponentiation.__init__()
    39. gaussian_process.kernels.Exponentiation.bounds
    40. gaussian_process.kernels.Exponentiation.clone_with_theta()
    41. gaussian_process.kernels.Exponentiation.diag()
    42. gaussian_process.kernels.Exponentiation.get_params()
    43. gaussian_process.kernels.Exponentiation.hyperparameters
    44. gaussian_process.kernels.Exponentiation.is_stationary()
    45. gaussian_process.kernels.Exponentiation.n_dims
    46. gaussian_process.kernels.Exponentiation.set_params()
    47. gaussian_process.kernels.Exponentiation.theta
    48. gaussian_process.kernels.Exponentiation()
    49. gaussian_process.kernels.ExpSineSquared
    50. gaussian_process.kernels.ExpSineSquared.__init__()
    51. gaussian_process.kernels.ExpSineSquared.bounds
    52. gaussian_process.kernels.ExpSineSquared.clone_with_theta()
    53. gaussian_process.kernels.ExpSineSquared.diag()
    54. gaussian_process.kernels.ExpSineSquared.get_params()
    55. gaussian_process.kernels.ExpSineSquared.hyperparameters
    56. gaussian_process.kernels.ExpSineSquared.is_stationary()
    57. gaussian_process.kernels.ExpSineSquared.n_dims
    58. gaussian_process.kernels.ExpSineSquared.set_params()
    59. gaussian_process.kernels.ExpSineSquared.theta
    60. gaussian_process.kernels.ExpSineSquared()
    61. gaussian_process.kernels.Hyperparameter
    62. gaussian_process.kernels.Hyperparameter
    63. gaussian_process.kernels.Hyperparameter.__init__()
    64. gaussian_process.kernels.Hyperparameter.bounds
    65. gaussian_process.kernels.Hyperparameter.count()
    66. gaussian_process.kernels.Hyperparameter.fixed
    67. gaussian_process.kernels.Hyperparameter.index()
    68. gaussian_process.kernels.Hyperparameter.n_elements
    69. gaussian_process.kernels.Hyperparameter.name
    70. gaussian_process.kernels.Hyperparameter.value_type
    71. gaussian_process.kernels.Kernel
    72. gaussian_process.kernels.Kernel
    73. gaussian_process.kernels.Kernel.__init__()
    74. gaussian_process.kernels.Kernel.bounds
    75. gaussian_process.kernels.Kernel.clone_with_theta()
    76. gaussian_process.kernels.Kernel.diag()
    77. gaussian_process.kernels.Kernel.get_params()
    78. gaussian_process.kernels.Kernel.hyperparameters
    79. gaussian_process.kernels.Kernel.is_stationary()
    80. gaussian_process.kernels.Kernel.n_dims
    81. gaussian_process.kernels.Kernel.set_params()
    82. gaussian_process.kernels.Kernel.theta
    83. gaussian_process.kernels.Matern
    84. gaussian_process.kernels.Matern.__init__()
    85. gaussian_process.kernels.Matern.bounds
    86. gaussian_process.kernels.Matern.clone_with_theta()
    87. gaussian_process.kernels.Matern.diag()
    88. gaussian_process.kernels.Matern.get_params()
    89. gaussian_process.kernels.Matern.hyperparameters
    90. gaussian_process.kernels.Matern.is_stationary()
    91. gaussian_process.kernels.Matern.n_dims
    92. gaussian_process.kernels.Matern.set_params()
    93. gaussian_process.kernels.Matern.theta
    94. gaussian_process.kernels.Matern()
    95. gaussian_process.kernels.PairwiseKernel
    96. gaussian_process.kernels.PairwiseKernel.__init__()
    97. gaussian_process.kernels.PairwiseKernel.bounds
    98. gaussian_process.kernels.PairwiseKernel.clone_with_theta()
    99. gaussian_process.kernels.PairwiseKernel.diag()
    100. gaussian_process.kernels.PairwiseKernel.get_params()
    101. gaussian_process.kernels.PairwiseKernel.hyperparameters
    102. gaussian_process.kernels.PairwiseKernel.is_stationary()
    103. gaussian_process.kernels.PairwiseKernel.n_dims
    104. gaussian_process.kernels.PairwiseKernel.set_params()
    105. gaussian_process.kernels.PairwiseKernel.theta
    106. gaussian_process.kernels.PairwiseKernel()
    107. gaussian_process.kernels.Product
    108. gaussian_process.kernels.Product.__init__()
    109. gaussian_process.kernels.Product.bounds
    110. gaussian_process.kernels.Product.clone_with_theta()
    111. gaussian_process.kernels.Product.diag()
    112. gaussian_process.kernels.Product.get_params()
    113. gaussian_process.kernels.Product.hyperparameters
    114. gaussian_process.kernels.Product.is_stationary()
    115. gaussian_process.kernels.Product.n_dims
    116. gaussian_process.kernels.Product.set_params()
    117. gaussian_process.kernels.Product.theta
    118. gaussian_process.kernels.Product()
    119. gaussian_process.kernels.RationalQuadratic
    120. gaussian_process.kernels.RationalQuadratic.__init__()
    121. gaussian_process.kernels.RationalQuadratic.bounds
    122. gaussian_process.kernels.RationalQuadratic.clone_with_theta()
    123. gaussian_process.kernels.RationalQuadratic.diag()
    124. gaussian_process.kernels.RationalQuadratic.get_params()
    125. gaussian_process.kernels.RationalQuadratic.hyperparameters
    126. gaussian_process.kernels.RationalQuadratic.is_stationary()
    127. gaussian_process.kernels.RationalQuadratic.n_dims
    128. gaussian_process.kernels.RationalQuadratic.set_params()
    129. gaussian_process.kernels.RationalQuadratic.theta
    130. gaussian_process.kernels.RationalQuadratic()
    131. gaussian_process.kernels.RBF
    132. gaussian_process.kernels.RBF.__init__()
    133. gaussian_process.kernels.RBF.bounds
    134. gaussian_process.kernels.RBF.clone_with_theta()
    135. gaussian_process.kernels.RBF.diag()
    136. gaussian_process.kernels.RBF.get_params()
    137. gaussian_process.kernels.RBF.hyperparameters
    138. gaussian_process.kernels.RBF.is_stationary()
    139. gaussian_process.kernels.RBF.n_dims
    140. gaussian_process.kernels.RBF.set_params()
    141. gaussian_process.kernels.RBF.theta
    142. gaussian_process.kernels.RBF()
    143. gaussian_process.kernels.Sum
    144. gaussian_process.kernels.Sum.__init__()
    145. gaussian_process.kernels.Sum.bounds
    146. gaussian_process.kernels.Sum.clone_with_theta()
    147. gaussian_process.kernels.Sum.diag()
    148. gaussian_process.kernels.Sum.get_params()
    149. gaussian_process.kernels.Sum.hyperparameters
    150. gaussian_process.kernels.Sum.is_stationary()
    151. gaussian_process.kernels.Sum.n_dims
    152. gaussian_process.kernels.Sum.set_params()
    153. gaussian_process.kernels.Sum.theta
    154. gaussian_process.kernels.Sum()
    155. gaussian_process.kernels.WhiteKernel
    156. gaussian_process.kernels.WhiteKernel.__init__()
    157. gaussian_process.kernels.WhiteKernel.bounds
    158. gaussian_process.kernels.WhiteKernel.clone_with_theta()
    159. gaussian_process.kernels.WhiteKernel.diag()
    160. gaussian_process.kernels.WhiteKernel.get_params()
    161. gaussian_process.kernels.WhiteKernel.hyperparameters
    162. gaussian_process.kernels.WhiteKernel.is_stationary()
    163. gaussian_process.kernels.WhiteKernel.n_dims
    164. gaussian_process.kernels.WhiteKernel.set_params()
    165. gaussian_process.kernels.WhiteKernel.theta
    166. gaussian_process.kernels.WhiteKernel()
  21. Guide
    1. 1.1. Generalized Linear Models
    2. 1.10. Decision Trees
    3. 1.11. Ensemble methods
    4. 1.12. Multiclass and multilabel algorithms
    5. 1.13. Feature selection
    6. 1.14. Semi-Supervised
    7. 1.15. Isotonic regression
    8. 1.16. Probability calibration
    9. 1.17. Neural network models
    10. 1.2. Linear and Quadratic Discriminant Analysis
    11. 1.3. Kernel ridge regression
    12. 1.4. Support Vector Machines
    13. 1.5. Stochastic Gradient Descent
    14. 1.6. Nearest Neighbors
    15. 1.7. Gaussian Processes
    16. 1.8. Cross decomposition
    17. 1.9. Naive Bayes
    18. 2.1. Gaussian mixture models
    19. 2.2. Manifold learning
    20. 2.3. Clustering
    21. 2.4. Biclustering
    22. 2.5. Decomposing signals in components
    23. 2.6. Covariance estimation
    24. 2.7. Novelty and Outlier Detection
    25. 2.8. Density Estimation
    26. 2.9. Neural network models
    27. 3.1. Cross-validation
    28. 3.2. Tuning the hyper-parameters of an estimator
    29. 3.3. Model evaluation
    30. 3.4. Model persistence
    31. 3.5. Validation curves
    32. 4.1. Pipeline and FeatureUnion
    33. 4.2. Feature extraction
    34. 4.3. Preprocessing data
    35. 4.4. Unsupervised dimensionality reduction
    36. 4.5. Random Projection
    37. 4.6. Kernel Approximation
    38. 4.7. Pairwise metrics, Affinities and Kernels
    39. 4.8. Transforming the prediction target
    40. 5. Dataset loading utilities
    41. 6. Strategies to scale computationally
    42. API Reference
  22. Index
    1. index
  23. isotonic
    1. isotonic.check_increasing()
    2. isotonic.isotonic_regression()
    3. isotonic.IsotonicRegression
    4. isotonic.IsotonicRegression.__init__()
    5. isotonic.IsotonicRegression.fit_transform()
    6. isotonic.IsotonicRegression.fit()
    7. isotonic.IsotonicRegression.get_params()
    8. isotonic.IsotonicRegression.predict()
    9. isotonic.IsotonicRegression.score()
    10. isotonic.IsotonicRegression.set_params()
    11. isotonic.IsotonicRegression.transform()
    12. isotonic.IsotonicRegression.X_
    13. isotonic.IsotonicRegression.y_
    14. isotonic.IsotonicRegression()
    15. sklearn.isotonic.check_increasing()
    16. sklearn.isotonic.isotonic_regression()
  24. kernel_approximation
    1. kernel_approximation.AdditiveChi2Sampler
    2. kernel_approximation.AdditiveChi2Sampler.__init__()
    3. kernel_approximation.AdditiveChi2Sampler.fit_transform()
    4. kernel_approximation.AdditiveChi2Sampler.fit()
    5. kernel_approximation.AdditiveChi2Sampler.get_params()
    6. kernel_approximation.AdditiveChi2Sampler.set_params()
    7. kernel_approximation.AdditiveChi2Sampler.transform()
    8. kernel_approximation.AdditiveChi2Sampler()
    9. kernel_approximation.Nystroem
    10. kernel_approximation.Nystroem.__init__()
    11. kernel_approximation.Nystroem.fit_transform()
    12. kernel_approximation.Nystroem.fit()
    13. kernel_approximation.Nystroem.get_params()
    14. kernel_approximation.Nystroem.set_params()
    15. kernel_approximation.Nystroem.transform()
    16. kernel_approximation.Nystroem()
    17. kernel_approximation.RBFSampler
    18. kernel_approximation.RBFSampler.__init__()
    19. kernel_approximation.RBFSampler.fit_transform()
    20. kernel_approximation.RBFSampler.fit()
    21. kernel_approximation.RBFSampler.get_params()
    22. kernel_approximation.RBFSampler.set_params()
    23. kernel_approximation.RBFSampler.transform()
    24. kernel_approximation.RBFSampler()
    25. kernel_approximation.SkewedChi2Sampler
    26. kernel_approximation.SkewedChi2Sampler.__init__()
    27. kernel_approximation.SkewedChi2Sampler.fit_transform()
    28. kernel_approximation.SkewedChi2Sampler.fit()
    29. kernel_approximation.SkewedChi2Sampler.get_params()
    30. kernel_approximation.SkewedChi2Sampler.set_params()
    31. kernel_approximation.SkewedChi2Sampler.transform()
    32. kernel_approximation.SkewedChi2Sampler()
  25. kernel_ridge
    1. kernel_ridge.KernelRidge
    2. kernel_ridge.KernelRidge.__init__()
    3. kernel_ridge.KernelRidge.fit()
    4. kernel_ridge.KernelRidge.get_params()
    5. kernel_ridge.KernelRidge.predict()
    6. kernel_ridge.KernelRidge.score()
    7. kernel_ridge.KernelRidge.set_params()
    8. kernel_ridge.KernelRidge()
  26. linear_model
    1. linear_model.ARDRegression
    2. linear_model.ARDRegression.__init__()
    3. linear_model.ARDRegression.decision_function()
    4. linear_model.ARDRegression.fit()
    5. linear_model.ARDRegression.get_params()
    6. linear_model.ARDRegression.predict()
    7. linear_model.ARDRegression.score()
    8. linear_model.ARDRegression.set_params()
    9. linear_model.ARDRegression()
    10. linear_model.BayesianRidge
    11. linear_model.BayesianRidge.__init__()
    12. linear_model.BayesianRidge.decision_function()
    13. linear_model.BayesianRidge.fit()
    14. linear_model.BayesianRidge.get_params()
    15. linear_model.BayesianRidge.predict()
    16. linear_model.BayesianRidge.score()
    17. linear_model.BayesianRidge.set_params()
    18. linear_model.BayesianRidge()
    19. linear_model.ElasticNet
    20. linear_model.ElasticNet.__init__()
    21. linear_model.ElasticNet.decision_function()
    22. linear_model.ElasticNet.fit()
    23. linear_model.ElasticNet.get_params()
    24. linear_model.ElasticNet.predict()
    25. linear_model.ElasticNet.score()
    26. linear_model.ElasticNet.set_params()
    27. linear_model.ElasticNet.sparse_coef_
    28. linear_model.ElasticNet()
    29. linear_model.ElasticNetCV
    30. linear_model.ElasticNetCV.__init__()
    31. linear_model.ElasticNetCV.decision_function()
    32. linear_model.ElasticNetCV.fit()
    33. linear_model.ElasticNetCV.get_params()
    34. linear_model.ElasticNetCV.predict()
    35. linear_model.ElasticNetCV.score()
    36. linear_model.ElasticNetCV.set_params()
    37. linear_model.ElasticNetCV()
    38. linear_model.HuberRegressor
    39. linear_model.HuberRegressor.__init__()
    40. linear_model.HuberRegressor.decision_function()
    41. linear_model.HuberRegressor.fit()
    42. linear_model.HuberRegressor.get_params()
    43. linear_model.HuberRegressor.predict()
    44. linear_model.HuberRegressor.score()
    45. linear_model.HuberRegressor.set_params()
    46. linear_model.HuberRegressor()
    47. linear_model.Lars
    48. linear_model.lars_path()
    49. linear_model.Lars.__init__()
    50. linear_model.Lars.decision_function()
    51. linear_model.Lars.fit()
    52. linear_model.Lars.get_params()
    53. linear_model.Lars.predict()
    54. linear_model.Lars.score()
    55. linear_model.Lars.set_params()
    56. linear_model.Lars()
    57. linear_model.LarsCV
    58. linear_model.LarsCV.__init__()
    59. linear_model.LarsCV.decision_function()
    60. linear_model.LarsCV.fit()
    61. linear_model.LarsCV.get_params()
    62. linear_model.LarsCV.predict()
    63. linear_model.LarsCV.score()
    64. linear_model.LarsCV.set_params()
    65. linear_model.LarsCV()
    66. linear_model.Lasso
    67. linear_model.lasso_path()
    68. linear_model.lasso_stability_path()
    69. linear_model.Lasso.__init__()
    70. linear_model.Lasso.decision_function()
    71. linear_model.Lasso.fit()
    72. linear_model.Lasso.get_params()
    73. linear_model.Lasso.predict()
    74. linear_model.Lasso.score()
    75. linear_model.Lasso.set_params()
    76. linear_model.Lasso.sparse_coef_
    77. linear_model.Lasso()
    78. linear_model.LassoCV
    79. linear_model.LassoCV.__init__()
    80. linear_model.LassoCV.decision_function()
    81. linear_model.LassoCV.fit()
    82. linear_model.LassoCV.get_params()
    83. linear_model.LassoCV.predict()
    84. linear_model.LassoCV.score()
    85. linear_model.LassoCV.set_params()
    86. linear_model.LassoCV()
    87. linear_model.LassoLars
    88. linear_model.LassoLars.__init__()
    89. linear_model.LassoLars.decision_function()
    90. linear_model.LassoLars.fit()
    91. linear_model.LassoLars.get_params()
    92. linear_model.LassoLars.predict()
    93. linear_model.LassoLars.score()
    94. linear_model.LassoLars.set_params()
    95. linear_model.LassoLars()
    96. linear_model.LassoLarsCV
    97. linear_model.LassoLarsCV.__init__()
    98. linear_model.LassoLarsCV.decision_function()
    99. linear_model.LassoLarsCV.fit()
    100. linear_model.LassoLarsCV.get_params()
    101. linear_model.LassoLarsCV.predict()
    102. linear_model.LassoLarsCV.score()
    103. linear_model.LassoLarsCV.set_params()
    104. linear_model.LassoLarsCV()
    105. linear_model.LassoLarsIC
    106. linear_model.LassoLarsIC.__init__()
    107. linear_model.LassoLarsIC.decision_function()
    108. linear_model.LassoLarsIC.fit()
    109. linear_model.LassoLarsIC.get_params()
    110. linear_model.LassoLarsIC.predict()
    111. linear_model.LassoLarsIC.score()
    112. linear_model.LassoLarsIC.set_params()
    113. linear_model.LassoLarsIC()
    114. linear_model.LinearRegression
    115. linear_model.LinearRegression.__init__()
    116. linear_model.LinearRegression.decision_function()
    117. linear_model.LinearRegression.fit()
    118. linear_model.LinearRegression.get_params()
    119. linear_model.LinearRegression.predict()
    120. linear_model.LinearRegression.residues_
    121. linear_model.LinearRegression.score()
    122. linear_model.LinearRegression.set_params()
    123. linear_model.LinearRegression()
    124. linear_model.logistic_regression_path()
    125. linear_model.LogisticRegression
    126. linear_model.LogisticRegression.__init__()
    127. linear_model.LogisticRegression.decision_function()
    128. linear_model.LogisticRegression.densify()
    129. linear_model.LogisticRegression.fit_transform()
    130. linear_model.LogisticRegression.fit()
    131. linear_model.LogisticRegression.get_params()
    132. linear_model.LogisticRegression.predict_log_proba()
    133. linear_model.LogisticRegression.predict_proba()
    134. linear_model.LogisticRegression.predict()
    135. linear_model.LogisticRegression.score()
    136. linear_model.LogisticRegression.set_params()
    137. linear_model.LogisticRegression.sparsify()
    138. linear_model.LogisticRegression.transform()
    139. linear_model.LogisticRegression()
    140. linear_model.LogisticRegressionCV
    141. linear_model.LogisticRegressionCV.__init__()
    142. linear_model.LogisticRegressionCV.decision_function()
    143. linear_model.LogisticRegressionCV.densify()
    144. linear_model.LogisticRegressionCV.fit_transform()
    145. linear_model.LogisticRegressionCV.fit()
    146. linear_model.LogisticRegressionCV.get_params()
    147. linear_model.LogisticRegressionCV.predict_log_proba()
    148. linear_model.LogisticRegressionCV.predict_proba()
    149. linear_model.LogisticRegressionCV.predict()
    150. linear_model.LogisticRegressionCV.score()
    151. linear_model.LogisticRegressionCV.set_params()
    152. linear_model.LogisticRegressionCV.sparsify()
    153. linear_model.LogisticRegressionCV.transform()
    154. linear_model.LogisticRegressionCV()
    155. linear_model.MultiTaskElasticNet
    156. linear_model.MultiTaskElasticNet.__init__()
    157. linear_model.MultiTaskElasticNet.decision_function()
    158. linear_model.MultiTaskElasticNet.fit()
    159. linear_model.MultiTaskElasticNet.get_params()
    160. linear_model.MultiTaskElasticNet.path()
    161. linear_model.MultiTaskElasticNet.predict()
    162. linear_model.MultiTaskElasticNet.score()
    163. linear_model.MultiTaskElasticNet.set_params()
    164. linear_model.MultiTaskElasticNet.sparse_coef_
    165. linear_model.MultiTaskElasticNet()
    166. linear_model.MultiTaskElasticNetCV
    167. linear_model.MultiTaskElasticNetCV.__init__()
    168. linear_model.MultiTaskElasticNetCV.decision_function()
    169. linear_model.MultiTaskElasticNetCV.fit()
    170. linear_model.MultiTaskElasticNetCV.get_params()
    171. linear_model.MultiTaskElasticNetCV.predict()
    172. linear_model.MultiTaskElasticNetCV.score()
    173. linear_model.MultiTaskElasticNetCV.set_params()
    174. linear_model.MultiTaskElasticNetCV()
    175. linear_model.MultiTaskLasso
    176. linear_model.MultiTaskLasso.__init__()
    177. linear_model.MultiTaskLasso.decision_function()
    178. linear_model.MultiTaskLasso.fit()
    179. linear_model.MultiTaskLasso.get_params()
    180. linear_model.MultiTaskLasso.path()
    181. linear_model.MultiTaskLasso.predict()
    182. linear_model.MultiTaskLasso.score()
    183. linear_model.MultiTaskLasso.set_params()
    184. linear_model.MultiTaskLasso.sparse_coef_
    185. linear_model.MultiTaskLasso()
    186. linear_model.MultiTaskLassoCV
    187. linear_model.MultiTaskLassoCV.__init__()
    188. linear_model.MultiTaskLassoCV.decision_function()
    189. linear_model.MultiTaskLassoCV.fit()
    190. linear_model.MultiTaskLassoCV.get_params()
    191. linear_model.MultiTaskLassoCV.predict()
    192. linear_model.MultiTaskLassoCV.score()
    193. linear_model.MultiTaskLassoCV.set_params()
    194. linear_model.MultiTaskLassoCV()
    195. linear_model.orthogonal_mp_gram()
    196. linear_model.orthogonal_mp()
    197. linear_model.OrthogonalMatchingPursuit
    198. linear_model.OrthogonalMatchingPursuit.__init__()
    199. linear_model.OrthogonalMatchingPursuit.decision_function()
    200. linear_model.OrthogonalMatchingPursuit.fit()
    201. linear_model.OrthogonalMatchingPursuit.get_params()
    202. linear_model.OrthogonalMatchingPursuit.predict()
    203. linear_model.OrthogonalMatchingPursuit.score()
    204. linear_model.OrthogonalMatchingPursuit.set_params()
    205. linear_model.OrthogonalMatchingPursuit()
    206. linear_model.OrthogonalMatchingPursuitCV
    207. linear_model.OrthogonalMatchingPursuitCV.__init__()
    208. linear_model.OrthogonalMatchingPursuitCV.decision_function()
    209. linear_model.OrthogonalMatchingPursuitCV.fit()
    210. linear_model.OrthogonalMatchingPursuitCV.get_params()
    211. linear_model.OrthogonalMatchingPursuitCV.predict()
    212. linear_model.OrthogonalMatchingPursuitCV.score()
    213. linear_model.OrthogonalMatchingPursuitCV.set_params()
    214. linear_model.OrthogonalMatchingPursuitCV()
    215. linear_model.PassiveAggressiveClassifier
    216. linear_model.PassiveAggressiveClassifier.__init__()
    217. linear_model.PassiveAggressiveClassifier.decision_function()
    218. linear_model.PassiveAggressiveClassifier.densify()
    219. linear_model.PassiveAggressiveClassifier.fit()
    220. linear_model.PassiveAggressiveClassifier.get_params()
    221. linear_model.PassiveAggressiveClassifier.partial_fit()
    222. linear_model.PassiveAggressiveClassifier.predict()
    223. linear_model.PassiveAggressiveClassifier.score()
    224. linear_model.PassiveAggressiveClassifier.sparsify()
    225. linear_model.PassiveAggressiveClassifier()
    226. linear_model.PassiveAggressiveRegressor
    227. linear_model.PassiveAggressiveRegressor.__init__()
    228. linear_model.PassiveAggressiveRegressor.decision_function()
    229. linear_model.PassiveAggressiveRegressor.densify()
    230. linear_model.PassiveAggressiveRegressor.fit()
    231. linear_model.PassiveAggressiveRegressor.get_params()
    232. linear_model.PassiveAggressiveRegressor.partial_fit()
    233. linear_model.PassiveAggressiveRegressor.predict()
    234. linear_model.PassiveAggressiveRegressor.score()
    235. linear_model.PassiveAggressiveRegressor.sparsify()
    236. linear_model.PassiveAggressiveRegressor()
    237. linear_model.Perceptron
    238. linear_model.Perceptron.__init__()
    239. linear_model.Perceptron.decision_function()
    240. linear_model.Perceptron.densify()
    241. linear_model.Perceptron.fit_transform()
    242. linear_model.Perceptron.fit()
    243. linear_model.Perceptron.get_params()
    244. linear_model.Perceptron.partial_fit()
    245. linear_model.Perceptron.predict()
    246. linear_model.Perceptron.score()
    247. linear_model.Perceptron.sparsify()
    248. linear_model.Perceptron.transform()
    249. linear_model.Perceptron()
    250. linear_model.RandomizedLasso
    251. linear_model.RandomizedLasso.__init__()
    252. linear_model.RandomizedLasso.fit_transform()
    253. linear_model.RandomizedLasso.fit()
    254. linear_model.RandomizedLasso.get_params()
    255. linear_model.RandomizedLasso.get_support()
    256. linear_model.RandomizedLasso.inverse_transform()
    257. linear_model.RandomizedLasso.set_params()
    258. linear_model.RandomizedLasso.transform()
    259. linear_model.RandomizedLasso()
    260. linear_model.RandomizedLogisticRegression
    261. linear_model.RandomizedLogisticRegression.__init__()
    262. linear_model.RandomizedLogisticRegression.fit_transform()
    263. linear_model.RandomizedLogisticRegression.fit()
    264. linear_model.RandomizedLogisticRegression.get_params()
    265. linear_model.RandomizedLogisticRegression.get_support()
    266. linear_model.RandomizedLogisticRegression.inverse_transform()
    267. linear_model.RandomizedLogisticRegression.set_params()
    268. linear_model.RandomizedLogisticRegression.transform()
    269. linear_model.RandomizedLogisticRegression()
    270. linear_model.RANSACRegressor
    271. linear_model.RANSACRegressor.__init__()
    272. linear_model.RANSACRegressor.fit()
    273. linear_model.RANSACRegressor.get_params()
    274. linear_model.RANSACRegressor.predict()
    275. linear_model.RANSACRegressor.score()
    276. linear_model.RANSACRegressor.set_params()
    277. linear_model.RANSACRegressor()
    278. linear_model.Ridge
    279. linear_model.Ridge.__init__()
    280. linear_model.Ridge.decision_function()
    281. linear_model.Ridge.fit()
    282. linear_model.Ridge.get_params()
    283. linear_model.Ridge.predict()
    284. linear_model.Ridge.score()
    285. linear_model.Ridge.set_params()
    286. linear_model.Ridge()
    287. linear_model.RidgeClassifier
    288. linear_model.RidgeClassifier.__init__()
    289. linear_model.RidgeClassifier.decision_function()
    290. linear_model.RidgeClassifier.fit()
    291. linear_model.RidgeClassifier.get_params()
    292. linear_model.RidgeClassifier.predict()
    293. linear_model.RidgeClassifier.score()
    294. linear_model.RidgeClassifier.set_params()
    295. linear_model.RidgeClassifier()
    296. linear_model.RidgeClassifierCV
    297. linear_model.RidgeClassifierCV.__init__()
    298. linear_model.RidgeClassifierCV.decision_function()
    299. linear_model.RidgeClassifierCV.fit()
    300. linear_model.RidgeClassifierCV.get_params()
    301. linear_model.RidgeClassifierCV.predict()
    302. linear_model.RidgeClassifierCV.score()
    303. linear_model.RidgeClassifierCV.set_params()
    304. linear_model.RidgeClassifierCV()
    305. linear_model.RidgeCV
    306. linear_model.RidgeCV.__init__()
    307. linear_model.RidgeCV.decision_function()
    308. linear_model.RidgeCV.fit()
    309. linear_model.RidgeCV.get_params()
    310. linear_model.RidgeCV.predict()
    311. linear_model.RidgeCV.score()
    312. linear_model.RidgeCV.set_params()
    313. linear_model.RidgeCV()
    314. linear_model.SGDClassifier
    315. linear_model.SGDClassifier.__init__()
    316. linear_model.SGDClassifier.decision_function()
    317. linear_model.SGDClassifier.densify()
    318. linear_model.SGDClassifier.fit_transform()
    319. linear_model.SGDClassifier.fit()
    320. linear_model.SGDClassifier.get_params()
    321. linear_model.SGDClassifier.partial_fit()
    322. linear_model.SGDClassifier.predict_log_proba
    323. linear_model.SGDClassifier.predict_proba
    324. linear_model.SGDClassifier.predict()
    325. linear_model.SGDClassifier.score()
    326. linear_model.SGDClassifier.sparsify()
    327. linear_model.SGDClassifier.transform()
    328. linear_model.SGDClassifier()
    329. linear_model.SGDRegressor
    330. linear_model.SGDRegressor.__init__()
    331. linear_model.SGDRegressor.decision_function()
    332. linear_model.SGDRegressor.densify()
    333. linear_model.SGDRegressor.fit_transform()
    334. linear_model.SGDRegressor.fit()
    335. linear_model.SGDRegressor.get_params()
    336. linear_model.SGDRegressor.partial_fit()
    337. linear_model.SGDRegressor.predict()
    338. linear_model.SGDRegressor.score()
    339. linear_model.SGDRegressor.sparsify()
    340. linear_model.SGDRegressor.transform()
    341. linear_model.SGDRegressor()
    342. linear_model.TheilSenRegressor
    343. linear_model.TheilSenRegressor.__init__()
    344. linear_model.TheilSenRegressor.decision_function()
    345. linear_model.TheilSenRegressor.fit()
    346. linear_model.TheilSenRegressor.get_params()
    347. linear_model.TheilSenRegressor.predict()
    348. linear_model.TheilSenRegressor.score()
    349. linear_model.TheilSenRegressor.set_params()
    350. linear_model.TheilSenRegressor()
    351. sklearn.linear_model.lars_path()
    352. sklearn.linear_model.lasso_path()
    353. sklearn.linear_model.lasso_stability_path()
    354. sklearn.linear_model.logistic_regression_path()
    355. sklearn.linear_model.orthogonal_mp_gram()
    356. sklearn.linear_model.orthogonal_mp()
  27. manifold
    1. manifold.Isomap
    2. manifold.Isomap.__init__()
    3. manifold.Isomap.fit_transform()
    4. manifold.Isomap.fit()
    5. manifold.Isomap.get_params()
    6. manifold.Isomap.reconstruction_error()
    7. manifold.Isomap.set_params()
    8. manifold.Isomap.transform()
    9. manifold.Isomap()
    10. manifold.locally_linear_embedding()
    11. manifold.LocallyLinearEmbedding
    12. manifold.LocallyLinearEmbedding.__init__()
    13. manifold.LocallyLinearEmbedding.fit_transform()
    14. manifold.LocallyLinearEmbedding.fit()
    15. manifold.LocallyLinearEmbedding.get_params()
    16. manifold.LocallyLinearEmbedding.set_params()
    17. manifold.LocallyLinearEmbedding.transform()
    18. manifold.LocallyLinearEmbedding()
    19. manifold.MDS
    20. manifold.MDS.__init__()
    21. manifold.MDS.fit_transform()
    22. manifold.MDS.fit()
    23. manifold.MDS.get_params()
    24. manifold.MDS.set_params()
    25. manifold.MDS()
    26. manifold.spectral_embedding()
    27. manifold.SpectralEmbedding
    28. manifold.SpectralEmbedding.__init__()
    29. manifold.SpectralEmbedding.fit_transform()
    30. manifold.SpectralEmbedding.fit()
    31. manifold.SpectralEmbedding.get_params()
    32. manifold.SpectralEmbedding.set_params()
    33. manifold.SpectralEmbedding()
    34. manifold.TSNE
    35. manifold.TSNE.__init__()
    36. manifold.TSNE.fit_transform()
    37. manifold.TSNE.fit()
    38. manifold.TSNE.get_params()
    39. manifold.TSNE.set_params()
    40. manifold.TSNE()
    41. sklearn.manifold.locally_linear_embedding()
    42. sklearn.manifold.spectral_embedding()
  28. metrics
    1. metrics.accuracy_score()
    2. metrics.adjusted_mutual_info_score()
    3. metrics.adjusted_rand_score()
    4. metrics.auc()
    5. metrics.average_precision_score()
    6. metrics.brier_score_loss()
    7. metrics.calinski_harabaz_score()
    8. metrics.classification_report()
    9. metrics.cohen_kappa_score()
    10. metrics.completeness_score()
    11. metrics.confusion_matrix()
    12. metrics.consensus_score()
    13. metrics.coverage_error()
    14. metrics.explained_variance_score()
    15. metrics.f1_score()
    16. metrics.fbeta_score()
    17. metrics.fowlkes_mallows_score()
    18. metrics.get_scorer()
    19. metrics.hamming_loss()
    20. metrics.hinge_loss()
    21. metrics.homogeneity_completeness_v_measure()
    22. metrics.homogeneity_score()
    23. metrics.jaccard_similarity_score()
    24. metrics.label_ranking_average_precision_score()
    25. metrics.label_ranking_loss()
    26. metrics.log_loss()
    27. metrics.make_scorer()
    28. metrics.matthews_corrcoef()
    29. metrics.mean_absolute_error()
    30. metrics.mean_squared_error()
    31. metrics.median_absolute_error()
    32. metrics.mutual_info_score()
    33. metrics.normalized_mutual_info_score()
    34. metrics.pairwise_distances_argmin_min()
    35. metrics.pairwise_distances_argmin()
    36. metrics.pairwise_distances()
    37. metrics.precision_recall_curve()
    38. metrics.precision_recall_fscore_support()
    39. metrics.precision_score()
    40. metrics.r2_score()
    41. metrics.recall_score()
    42. metrics.roc_auc_score()
    43. metrics.roc_curve()
    44. metrics.silhouette_samples()
    45. metrics.silhouette_score()
    46. metrics.v_measure_score()
    47. metrics.zero_one_loss()
    48. sklearn.metrics.accuracy_score()
    49. sklearn.metrics.adjusted_mutual_info_score()
    50. sklearn.metrics.adjusted_rand_score()
    51. sklearn.metrics.auc()
    52. sklearn.metrics.average_precision_score()
    53. sklearn.metrics.brier_score_loss()
    54. sklearn.metrics.calinski_harabaz_score()
    55. sklearn.metrics.classification_report()
    56. sklearn.metrics.cohen_kappa_score()
    57. sklearn.metrics.completeness_score()
    58. sklearn.metrics.confusion_matrix()
    59. sklearn.metrics.consensus_score()
    60. sklearn.metrics.coverage_error()
    61. sklearn.metrics.explained_variance_score()
    62. sklearn.metrics.f1_score()
    63. sklearn.metrics.fbeta_score()
    64. sklearn.metrics.fowlkes_mallows_score()
    65. sklearn.metrics.get_scorer()
    66. sklearn.metrics.hamming_loss()
    67. sklearn.metrics.hinge_loss()
    68. sklearn.metrics.homogeneity_completeness_v_measure()
    69. sklearn.metrics.homogeneity_score()
    70. sklearn.metrics.jaccard_similarity_score()
    71. sklearn.metrics.label_ranking_average_precision_score()
    72. sklearn.metrics.label_ranking_loss()
    73. sklearn.metrics.log_loss()
    74. sklearn.metrics.make_scorer()
    75. sklearn.metrics.matthews_corrcoef()
    76. sklearn.metrics.mean_absolute_error()
    77. sklearn.metrics.mean_squared_error()
    78. sklearn.metrics.median_absolute_error()
    79. sklearn.metrics.mutual_info_score()
    80. sklearn.metrics.normalized_mutual_info_score()
    81. sklearn.metrics.pairwise_distances_argmin_min()
    82. sklearn.metrics.pairwise_distances_argmin()
    83. sklearn.metrics.pairwise_distances()
    84. sklearn.metrics.precision_recall_curve()
    85. sklearn.metrics.precision_recall_fscore_support()
    86. sklearn.metrics.precision_score()
    87. sklearn.metrics.r2_score()
    88. sklearn.metrics.recall_score()
    89. sklearn.metrics.roc_auc_score()
    90. sklearn.metrics.roc_curve()
    91. sklearn.metrics.silhouette_samples()
    92. sklearn.metrics.silhouette_score()
    93. sklearn.metrics.v_measure_score()
    94. sklearn.metrics.zero_one_loss()
  29. metrics.pairwise
    1. metrics.pairwise.additive_chi2_kernel()
    2. metrics.pairwise.chi2_kernel()
    3. metrics.pairwise.cosine_distances()
    4. metrics.pairwise.cosine_similarity()
    5. metrics.pairwise.distance_metrics()
    6. metrics.pairwise.euclidean_distances()
    7. metrics.pairwise.kernel_metrics()
    8. metrics.pairwise.laplacian_kernel()
    9. metrics.pairwise.linear_kernel()
    10. metrics.pairwise.manhattan_distances()
    11. metrics.pairwise.paired_cosine_distances()
    12. metrics.pairwise.paired_distances()
    13. metrics.pairwise.paired_euclidean_distances()
    14. metrics.pairwise.paired_manhattan_distances()
    15. metrics.pairwise.pairwise_distances()
    16. metrics.pairwise.pairwise_kernels()
    17. metrics.pairwise.polynomial_kernel()
    18. metrics.pairwise.rbf_kernel()
    19. metrics.pairwise.sigmoid_kernel()
    20. sklearn.metrics.pairwise.additive_chi2_kernel()
    21. sklearn.metrics.pairwise.chi2_kernel()
    22. sklearn.metrics.pairwise.cosine_distances()
    23. sklearn.metrics.pairwise.cosine_similarity()
    24. sklearn.metrics.pairwise.distance_metrics()
    25. sklearn.metrics.pairwise.euclidean_distances()
    26. sklearn.metrics.pairwise.kernel_metrics()
    27. sklearn.metrics.pairwise.laplacian_kernel()
    28. sklearn.metrics.pairwise.linear_kernel()
    29. sklearn.metrics.pairwise.manhattan_distances()
    30. sklearn.metrics.pairwise.paired_cosine_distances()
    31. sklearn.metrics.pairwise.paired_distances()
    32. sklearn.metrics.pairwise.paired_euclidean_distances()
    33. sklearn.metrics.pairwise.paired_manhattan_distances()
    34. sklearn.metrics.pairwise.pairwise_distances()
    35. sklearn.metrics.pairwise.pairwise_kernels()
    36. sklearn.metrics.pairwise.polynomial_kernel()
    37. sklearn.metrics.pairwise.rbf_kernel()
    38. sklearn.metrics.pairwise.sigmoid_kernel()
  30. mixture
    1. mixture.BayesianGaussianMixture
    2. mixture.BayesianGaussianMixture.__init__()
    3. mixture.BayesianGaussianMixture.fit()
    4. mixture.BayesianGaussianMixture.get_params()
    5. mixture.BayesianGaussianMixture.predict_proba()
    6. mixture.BayesianGaussianMixture.predict()
    7. mixture.BayesianGaussianMixture.sample()
    8. mixture.BayesianGaussianMixture.score_samples()
    9. mixture.BayesianGaussianMixture.score()
    10. mixture.BayesianGaussianMixture.set_params()
    11. mixture.BayesianGaussianMixture()
    12. mixture.DPGMM
    13. mixture.DPGMM.__init__()
    14. mixture.DPGMM.aic()
    15. mixture.DPGMM.bic()
    16. mixture.DPGMM.fit_predict()
    17. mixture.DPGMM.fit()
    18. mixture.DPGMM.get_params()
    19. mixture.DPGMM.lower_bound()
    20. mixture.DPGMM.predict_proba()
    21. mixture.DPGMM.predict()
    22. mixture.DPGMM.sample()
    23. mixture.DPGMM.score_samples()
    24. mixture.DPGMM.score()
    25. mixture.DPGMM.set_params()
    26. mixture.DPGMM()
    27. mixture.GaussianMixture
    28. mixture.GaussianMixture.__init__()
    29. mixture.GaussianMixture.aic()
    30. mixture.GaussianMixture.bic()
    31. mixture.GaussianMixture.fit()
    32. mixture.GaussianMixture.get_params()
    33. mixture.GaussianMixture.predict_proba()
    34. mixture.GaussianMixture.predict()
    35. mixture.GaussianMixture.sample()
    36. mixture.GaussianMixture.score_samples()
    37. mixture.GaussianMixture.score()
    38. mixture.GaussianMixture.set_params()
    39. mixture.GaussianMixture()
  31. model_selection
    1. model_selection.cross_val_predict()
    2. model_selection.cross_val_score()
    3. model_selection.GridSearchCV
    4. model_selection.GridSearchCV.__init__()
    5. model_selection.GridSearchCV.decision_function()
    6. model_selection.GridSearchCV.fit()
    7. model_selection.GridSearchCV.get_params()
    8. model_selection.GridSearchCV.inverse_transform()
    9. model_selection.GridSearchCV.predict_log_proba()
    10. model_selection.GridSearchCV.predict_proba()
    11. model_selection.GridSearchCV.predict()
    12. model_selection.GridSearchCV.score()
    13. model_selection.GridSearchCV.set_params()
    14. model_selection.GridSearchCV.transform()
    15. model_selection.GridSearchCV()
    16. model_selection.GroupKFold
    17. model_selection.GroupKFold.__init__()
    18. model_selection.GroupKFold.get_n_splits()
    19. model_selection.GroupKFold.split()
    20. model_selection.GroupKFold()
    21. model_selection.GroupShuffleSplit
    22. model_selection.GroupShuffleSplit.__init__()
    23. model_selection.GroupShuffleSplit.get_n_splits()
    24. model_selection.GroupShuffleSplit.split()
    25. model_selection.GroupShuffleSplit()
    26. model_selection.KFold
    27. model_selection.KFold.__init__()
    28. model_selection.KFold.get_n_splits()
    29. model_selection.KFold.split()
    30. model_selection.KFold()
    31. model_selection.learning_curve()
    32. model_selection.LeaveOneGroupOut
    33. model_selection.LeaveOneGroupOut
    34. model_selection.LeaveOneGroupOut.__init__()
    35. model_selection.LeaveOneGroupOut.get_n_splits()
    36. model_selection.LeaveOneGroupOut.split()
    37. model_selection.LeaveOneOut
    38. model_selection.LeaveOneOut
    39. model_selection.LeaveOneOut.__init__()
    40. model_selection.LeaveOneOut.get_n_splits()
    41. model_selection.LeaveOneOut.split()
    42. model_selection.LeavePGroupsOut
    43. model_selection.LeavePGroupsOut.__init__()
    44. model_selection.LeavePGroupsOut.get_n_splits()
    45. model_selection.LeavePGroupsOut.split()
    46. model_selection.LeavePGroupsOut()
    47. model_selection.LeavePOut
    48. model_selection.LeavePOut.__init__()
    49. model_selection.LeavePOut.get_n_splits()
    50. model_selection.LeavePOut.split()
    51. model_selection.LeavePOut()
    52. model_selection.ParameterGrid
    53. model_selection.ParameterGrid()
    54. model_selection.ParameterSampler
    55. model_selection.ParameterSampler()
    56. model_selection.permutation_test_score()
    57. model_selection.PredefinedSplit
    58. model_selection.PredefinedSplit.__init__()
    59. model_selection.PredefinedSplit.get_n_splits()
    60. model_selection.PredefinedSplit.split()
    61. model_selection.PredefinedSplit()
    62. model_selection.RandomizedSearchCV
    63. model_selection.RandomizedSearchCV.__init__()
    64. model_selection.RandomizedSearchCV.decision_function()
    65. model_selection.RandomizedSearchCV.fit()
    66. model_selection.RandomizedSearchCV.get_params()
    67. model_selection.RandomizedSearchCV.inverse_transform()
    68. model_selection.RandomizedSearchCV.predict_log_proba()
    69. model_selection.RandomizedSearchCV.predict_proba()
    70. model_selection.RandomizedSearchCV.predict()
    71. model_selection.RandomizedSearchCV.score()
    72. model_selection.RandomizedSearchCV.set_params()
    73. model_selection.RandomizedSearchCV.transform()
    74. model_selection.RandomizedSearchCV()
    75. model_selection.ShuffleSplit
    76. model_selection.ShuffleSplit.__init__()
    77. model_selection.ShuffleSplit.get_n_splits()
    78. model_selection.ShuffleSplit.split()
    79. model_selection.ShuffleSplit()
    80. model_selection.StratifiedKFold
    81. model_selection.StratifiedKFold.__init__()
    82. model_selection.StratifiedKFold.get_n_splits()
    83. model_selection.StratifiedKFold.split()
    84. model_selection.StratifiedKFold()
    85. model_selection.StratifiedShuffleSplit
    86. model_selection.StratifiedShuffleSplit.__init__()
    87. model_selection.StratifiedShuffleSplit.get_n_splits()
    88. model_selection.StratifiedShuffleSplit.split()
    89. model_selection.StratifiedShuffleSplit()
    90. model_selection.TimeSeriesSplit
    91. model_selection.TimeSeriesSplit.__init__()
    92. model_selection.TimeSeriesSplit.get_n_splits()
    93. model_selection.TimeSeriesSplit.split()
    94. model_selection.TimeSeriesSplit()
    95. model_selection.train_test_split()
    96. model_selection.validation_curve()
    97. sklearn.model_selection.cross_val_predict()
    98. sklearn.model_selection.cross_val_score()
    99. sklearn.model_selection.learning_curve()
    100. sklearn.model_selection.permutation_test_score()
    101. sklearn.model_selection.train_test_split()
    102. sklearn.model_selection.validation_curve()
  32. multiclass
    1. multiclass.OneVsOneClassifier
    2. multiclass.OneVsOneClassifier.__init__()
    3. multiclass.OneVsOneClassifier.decision_function()
    4. multiclass.OneVsOneClassifier.fit()
    5. multiclass.OneVsOneClassifier.get_params()
    6. multiclass.OneVsOneClassifier.partial_fit()
    7. multiclass.OneVsOneClassifier.predict()
    8. multiclass.OneVsOneClassifier.score()
    9. multiclass.OneVsOneClassifier.set_params()
    10. multiclass.OneVsOneClassifier()
    11. multiclass.OneVsRestClassifier
    12. multiclass.OneVsRestClassifier.__init__()
    13. multiclass.OneVsRestClassifier.decision_function()
    14. multiclass.OneVsRestClassifier.fit()
    15. multiclass.OneVsRestClassifier.get_params()
    16. multiclass.OneVsRestClassifier.multilabel_
    17. multiclass.OneVsRestClassifier.partial_fit()
    18. multiclass.OneVsRestClassifier.predict_proba()
    19. multiclass.OneVsRestClassifier.predict()
    20. multiclass.OneVsRestClassifier.score()
    21. multiclass.OneVsRestClassifier.set_params()
    22. multiclass.OneVsRestClassifier()
    23. multiclass.OutputCodeClassifier
    24. multiclass.OutputCodeClassifier.__init__()
    25. multiclass.OutputCodeClassifier.fit()
    26. multiclass.OutputCodeClassifier.get_params()
    27. multiclass.OutputCodeClassifier.predict()
    28. multiclass.OutputCodeClassifier.score()
    29. multiclass.OutputCodeClassifier.set_params()
    30. multiclass.OutputCodeClassifier()
  33. multioutput
    1. multioutput.MultiOutputClassifier
    2. multioutput.MultiOutputClassifier.__init__()
    3. multioutput.MultiOutputClassifier.fit()
    4. multioutput.MultiOutputClassifier.get_params()
    5. multioutput.MultiOutputClassifier.predict_proba()
    6. multioutput.MultiOutputClassifier.predict()
    7. multioutput.MultiOutputClassifier.score()
    8. multioutput.MultiOutputClassifier.set_params()
    9. multioutput.MultiOutputClassifier()
    10. multioutput.MultiOutputRegressor
    11. multioutput.MultiOutputRegressor.__init__()
    12. multioutput.MultiOutputRegressor.fit()
    13. multioutput.MultiOutputRegressor.get_params()
    14. multioutput.MultiOutputRegressor.predict()
    15. multioutput.MultiOutputRegressor.score()
    16. multioutput.MultiOutputRegressor.set_params()
    17. multioutput.MultiOutputRegressor()
  34. naive_bayes
    1. naive_bayes.BernoulliNB
    2. naive_bayes.BernoulliNB.__init__()
    3. naive_bayes.BernoulliNB.fit()
    4. naive_bayes.BernoulliNB.get_params()
    5. naive_bayes.BernoulliNB.partial_fit()
    6. naive_bayes.BernoulliNB.predict_log_proba()
    7. naive_bayes.BernoulliNB.predict_proba()
    8. naive_bayes.BernoulliNB.predict()
    9. naive_bayes.BernoulliNB.score()
    10. naive_bayes.BernoulliNB.set_params()
    11. naive_bayes.BernoulliNB()
    12. naive_bayes.GaussianNB
    13. naive_bayes.GaussianNB.__init__()
    14. naive_bayes.GaussianNB.fit()
    15. naive_bayes.GaussianNB.get_params()
    16. naive_bayes.GaussianNB.partial_fit()
    17. naive_bayes.GaussianNB.predict_log_proba()
    18. naive_bayes.GaussianNB.predict_proba()
    19. naive_bayes.GaussianNB.predict()
    20. naive_bayes.GaussianNB.score()
    21. naive_bayes.GaussianNB.set_params()
    22. naive_bayes.GaussianNB()
    23. naive_bayes.MultinomialNB
    24. naive_bayes.MultinomialNB.__init__()
    25. naive_bayes.MultinomialNB.fit()
    26. naive_bayes.MultinomialNB.get_params()
    27. naive_bayes.MultinomialNB.partial_fit()
    28. naive_bayes.MultinomialNB.predict_log_proba()
    29. naive_bayes.MultinomialNB.predict_proba()
    30. naive_bayes.MultinomialNB.predict()
    31. naive_bayes.MultinomialNB.score()
    32. naive_bayes.MultinomialNB.set_params()
    33. naive_bayes.MultinomialNB()
  35. neighbors
    1. neighbors.BallTree
    2. neighbors.BallTree
    3. neighbors.BallTree.__init__()
    4. neighbors.BallTree.kernel_density()
    5. neighbors.BallTree.query_radius()
    6. neighbors.BallTree.query()
    7. neighbors.BallTree.two_point_correlation()
    8. neighbors.DistanceMetric
    9. neighbors.DistanceMetric
    10. neighbors.DistanceMetric.__init__()
    11. neighbors.DistanceMetric.dist_to_rdist()
    12. neighbors.DistanceMetric.get_metric()
    13. neighbors.DistanceMetric.pairwise()
    14. neighbors.DistanceMetric.rdist_to_dist()
    15. neighbors.KDTree
    16. neighbors.KDTree
    17. neighbors.KDTree.__init__()
    18. neighbors.KDTree.kernel_density()
    19. neighbors.KDTree.query_radius()
    20. neighbors.KDTree.query()
    21. neighbors.KDTree.two_point_correlation()
    22. neighbors.KernelDensity
    23. neighbors.KernelDensity.__init__()
    24. neighbors.KernelDensity.fit()
    25. neighbors.KernelDensity.get_params()
    26. neighbors.KernelDensity.sample()
    27. neighbors.KernelDensity.score_samples()
    28. neighbors.KernelDensity.score()
    29. neighbors.KernelDensity.set_params()
    30. neighbors.KernelDensity()
    31. neighbors.kneighbors_graph()
    32. neighbors.KNeighborsClassifier
    33. neighbors.KNeighborsClassifier.__init__()
    34. neighbors.KNeighborsClassifier.fit()
    35. neighbors.KNeighborsClassifier.get_params()
    36. neighbors.KNeighborsClassifier.kneighbors_graph()
    37. neighbors.KNeighborsClassifier.kneighbors()
    38. neighbors.KNeighborsClassifier.predict_proba()
    39. neighbors.KNeighborsClassifier.predict()
    40. neighbors.KNeighborsClassifier.score()
    41. neighbors.KNeighborsClassifier.set_params()
    42. neighbors.KNeighborsClassifier()
    43. neighbors.KNeighborsRegressor
    44. neighbors.KNeighborsRegressor.__init__()
    45. neighbors.KNeighborsRegressor.fit()
    46. neighbors.KNeighborsRegressor.get_params()
    47. neighbors.KNeighborsRegressor.kneighbors_graph()
    48. neighbors.KNeighborsRegressor.kneighbors()
    49. neighbors.KNeighborsRegressor.predict()
    50. neighbors.KNeighborsRegressor.score()
    51. neighbors.KNeighborsRegressor.set_params()
    52. neighbors.KNeighborsRegressor()
    53. neighbors.LSHForest
    54. neighbors.LSHForest.__init__()
    55. neighbors.LSHForest.fit()
    56. neighbors.LSHForest.get_params()
    57. neighbors.LSHForest.kneighbors_graph()
    58. neighbors.LSHForest.kneighbors()
    59. neighbors.LSHForest.partial_fit()
    60. neighbors.LSHForest.radius_neighbors_graph()
    61. neighbors.LSHForest.radius_neighbors()
    62. neighbors.LSHForest.set_params()
    63. neighbors.LSHForest()
    64. neighbors.NearestCentroid
    65. neighbors.NearestCentroid.__init__()
    66. neighbors.NearestCentroid.fit()
    67. neighbors.NearestCentroid.get_params()
    68. neighbors.NearestCentroid.predict()
    69. neighbors.NearestCentroid.score()
    70. neighbors.NearestCentroid.set_params()
    71. neighbors.NearestCentroid()
    72. neighbors.NearestNeighbors
    73. neighbors.NearestNeighbors.__init__()
    74. neighbors.NearestNeighbors.fit()
    75. neighbors.NearestNeighbors.get_params()
    76. neighbors.NearestNeighbors.kneighbors_graph()
    77. neighbors.NearestNeighbors.kneighbors()
    78. neighbors.NearestNeighbors.radius_neighbors_graph()
    79. neighbors.NearestNeighbors.radius_neighbors()
    80. neighbors.NearestNeighbors.set_params()
    81. neighbors.NearestNeighbors()
    82. neighbors.radius_neighbors_graph()
    83. neighbors.RadiusNeighborsClassifier
    84. neighbors.RadiusNeighborsClassifier.__init__()
    85. neighbors.RadiusNeighborsClassifier.fit()
    86. neighbors.RadiusNeighborsClassifier.get_params()
    87. neighbors.RadiusNeighborsClassifier.predict()
    88. neighbors.RadiusNeighborsClassifier.radius_neighbors_graph()
    89. neighbors.RadiusNeighborsClassifier.radius_neighbors()
    90. neighbors.RadiusNeighborsClassifier.score()
    91. neighbors.RadiusNeighborsClassifier.set_params()
    92. neighbors.RadiusNeighborsClassifier()
    93. neighbors.RadiusNeighborsRegressor
    94. neighbors.RadiusNeighborsRegressor.__init__()
    95. neighbors.RadiusNeighborsRegressor.fit()
    96. neighbors.RadiusNeighborsRegressor.get_params()
    97. neighbors.RadiusNeighborsRegressor.predict()
    98. neighbors.RadiusNeighborsRegressor.radius_neighbors_graph()
    99. neighbors.RadiusNeighborsRegressor.radius_neighbors()
    100. neighbors.RadiusNeighborsRegressor.score()
    101. neighbors.RadiusNeighborsRegressor.set_params()
    102. neighbors.RadiusNeighborsRegressor()
    103. sklearn.neighbors.kneighbors_graph()
    104. sklearn.neighbors.radius_neighbors_graph()
  36. neural_network
    1. neural_network.BernoulliRBM
    2. neural_network.BernoulliRBM.__init__()
    3. neural_network.BernoulliRBM.fit_transform()
    4. neural_network.BernoulliRBM.fit()
    5. neural_network.BernoulliRBM.get_params()
    6. neural_network.BernoulliRBM.gibbs()
    7. neural_network.BernoulliRBM.partial_fit()
    8. neural_network.BernoulliRBM.score_samples()
    9. neural_network.BernoulliRBM.set_params()
    10. neural_network.BernoulliRBM.transform()
    11. neural_network.BernoulliRBM()
    12. neural_network.MLPClassifier
    13. neural_network.MLPClassifier.__init__()
    14. neural_network.MLPClassifier.fit()
    15. neural_network.MLPClassifier.get_params()
    16. neural_network.MLPClassifier.partial_fit
    17. neural_network.MLPClassifier.predict_log_proba()
    18. neural_network.MLPClassifier.predict_proba()
    19. neural_network.MLPClassifier.predict()
    20. neural_network.MLPClassifier.score()
    21. neural_network.MLPClassifier.set_params()
    22. neural_network.MLPClassifier()
    23. neural_network.MLPRegressor
    24. neural_network.MLPRegressor.__init__()
    25. neural_network.MLPRegressor.fit()
    26. neural_network.MLPRegressor.get_params()
    27. neural_network.MLPRegressor.partial_fit
    28. neural_network.MLPRegressor.predict()
    29. neural_network.MLPRegressor.score()
    30. neural_network.MLPRegressor.set_params()
    31. neural_network.MLPRegressor()
  37. pipeline
    1. pipeline.FeatureUnion
    2. pipeline.FeatureUnion.__init__()
    3. pipeline.FeatureUnion.fit_transform()
    4. pipeline.FeatureUnion.fit()
    5. pipeline.FeatureUnion.get_feature_names()
    6. pipeline.FeatureUnion.get_params()
    7. pipeline.FeatureUnion.set_params()
    8. pipeline.FeatureUnion.transform()
    9. pipeline.FeatureUnion()
    10. pipeline.make_pipeline()
    11. pipeline.make_union()
    12. pipeline.Pipeline
    13. pipeline.Pipeline.__init__()
    14. pipeline.Pipeline.decision_function()
    15. pipeline.Pipeline.fit_predict()
    16. pipeline.Pipeline.fit_transform()
    17. pipeline.Pipeline.fit()
    18. pipeline.Pipeline.get_params()
    19. pipeline.Pipeline.inverse_transform
    20. pipeline.Pipeline.predict_log_proba()
    21. pipeline.Pipeline.predict_proba()
    22. pipeline.Pipeline.predict()
    23. pipeline.Pipeline.score()
    24. pipeline.Pipeline.set_params()
    25. pipeline.Pipeline.transform
    26. pipeline.Pipeline()
    27. sklearn.pipeline.make_pipeline()
    28. sklearn.pipeline.make_union()
  38. preprocessing
    1. preprocessing.add_dummy_feature()
    2. preprocessing.binarize()
    3. preprocessing.Binarizer
    4. preprocessing.Binarizer.__init__()
    5. preprocessing.Binarizer.fit_transform()
    6. preprocessing.Binarizer.fit()
    7. preprocessing.Binarizer.get_params()
    8. preprocessing.Binarizer.set_params()
    9. preprocessing.Binarizer.transform()
    10. preprocessing.Binarizer()
    11. preprocessing.FunctionTransformer
    12. preprocessing.FunctionTransformer.__init__()
    13. preprocessing.FunctionTransformer.fit_transform()
    14. preprocessing.FunctionTransformer.get_params()
    15. preprocessing.FunctionTransformer.set_params()
    16. preprocessing.FunctionTransformer()
    17. preprocessing.Imputer
    18. preprocessing.Imputer.__init__()
    19. preprocessing.Imputer.fit_transform()
    20. preprocessing.Imputer.fit()
    21. preprocessing.Imputer.get_params()
    22. preprocessing.Imputer.set_params()
    23. preprocessing.Imputer.transform()
    24. preprocessing.Imputer()
    25. preprocessing.KernelCenterer
    26. preprocessing.KernelCenterer
    27. preprocessing.KernelCenterer.__init__()
    28. preprocessing.KernelCenterer.fit_transform()
    29. preprocessing.KernelCenterer.fit()
    30. preprocessing.KernelCenterer.get_params()
    31. preprocessing.KernelCenterer.set_params()
    32. preprocessing.KernelCenterer.transform()
    33. preprocessing.label_binarize()
    34. preprocessing.LabelBinarizer
    35. preprocessing.LabelBinarizer.__init__()
    36. preprocessing.LabelBinarizer.fit_transform()
    37. preprocessing.LabelBinarizer.fit()
    38. preprocessing.LabelBinarizer.get_params()
    39. preprocessing.LabelBinarizer.inverse_transform()
    40. preprocessing.LabelBinarizer.set_params()
    41. preprocessing.LabelBinarizer.transform()
    42. preprocessing.LabelBinarizer()
    43. preprocessing.LabelEncoder
    44. preprocessing.LabelEncoder
    45. preprocessing.LabelEncoder.__init__()
    46. preprocessing.LabelEncoder.fit_transform()
    47. preprocessing.LabelEncoder.fit()
    48. preprocessing.LabelEncoder.get_params()
    49. preprocessing.LabelEncoder.inverse_transform()
    50. preprocessing.LabelEncoder.set_params()
    51. preprocessing.LabelEncoder.transform()
    52. preprocessing.maxabs_scale()
    53. preprocessing.MaxAbsScaler
    54. preprocessing.MaxAbsScaler.__init__()
    55. preprocessing.MaxAbsScaler.fit_transform()
    56. preprocessing.MaxAbsScaler.fit()
    57. preprocessing.MaxAbsScaler.get_params()
    58. preprocessing.MaxAbsScaler.inverse_transform()
    59. preprocessing.MaxAbsScaler.partial_fit()
    60. preprocessing.MaxAbsScaler.set_params()
    61. preprocessing.MaxAbsScaler.transform()
    62. preprocessing.MaxAbsScaler()
    63. preprocessing.minmax_scale()
    64. preprocessing.MinMaxScaler
    65. preprocessing.MinMaxScaler.__init__()
    66. preprocessing.MinMaxScaler.data_min
    67. preprocessing.MinMaxScaler.data_range
    68. preprocessing.MinMaxScaler.fit_transform()
    69. preprocessing.MinMaxScaler.fit()
    70. preprocessing.MinMaxScaler.get_params()
    71. preprocessing.MinMaxScaler.inverse_transform()
    72. preprocessing.MinMaxScaler.partial_fit()
    73. preprocessing.MinMaxScaler.set_params()
    74. preprocessing.MinMaxScaler.transform()
    75. preprocessing.MinMaxScaler()
    76. preprocessing.MultiLabelBinarizer
    77. preprocessing.MultiLabelBinarizer.__init__()
    78. preprocessing.MultiLabelBinarizer.fit_transform()
    79. preprocessing.MultiLabelBinarizer.fit()
    80. preprocessing.MultiLabelBinarizer.get_params()
    81. preprocessing.MultiLabelBinarizer.inverse_transform()
    82. preprocessing.MultiLabelBinarizer.set_params()
    83. preprocessing.MultiLabelBinarizer.transform()
    84. preprocessing.MultiLabelBinarizer()
    85. preprocessing.normalize()
    86. preprocessing.Normalizer
    87. preprocessing.Normalizer.__init__()
    88. preprocessing.Normalizer.fit_transform()
    89. preprocessing.Normalizer.fit()
    90. preprocessing.Normalizer.get_params()
    91. preprocessing.Normalizer.set_params()
    92. preprocessing.Normalizer.transform()
    93. preprocessing.Normalizer()
    94. preprocessing.OneHotEncoder
    95. preprocessing.OneHotEncoder.__init__()
    96. preprocessing.OneHotEncoder.fit_transform()
    97. preprocessing.OneHotEncoder.fit()
    98. preprocessing.OneHotEncoder.get_params()
    99. preprocessing.OneHotEncoder.set_params()
    100. preprocessing.OneHotEncoder.transform()
    101. preprocessing.OneHotEncoder()
    102. preprocessing.PolynomialFeatures
    103. preprocessing.PolynomialFeatures.__init__()
    104. preprocessing.PolynomialFeatures.fit_transform()
    105. preprocessing.PolynomialFeatures.fit()
    106. preprocessing.PolynomialFeatures.get_feature_names()
    107. preprocessing.PolynomialFeatures.get_params()
    108. preprocessing.PolynomialFeatures.set_params()
    109. preprocessing.PolynomialFeatures.transform()
    110. preprocessing.PolynomialFeatures()
    111. preprocessing.robust_scale()
    112. preprocessing.RobustScaler
    113. preprocessing.RobustScaler.__init__()
    114. preprocessing.RobustScaler.fit_transform()
    115. preprocessing.RobustScaler.fit()
    116. preprocessing.RobustScaler.get_params()
    117. preprocessing.RobustScaler.inverse_transform()
    118. preprocessing.RobustScaler.set_params()
    119. preprocessing.RobustScaler.transform()
    120. preprocessing.RobustScaler()
    121. preprocessing.scale()
    122. preprocessing.StandardScaler
    123. preprocessing.StandardScaler.__init__()
    124. preprocessing.StandardScaler.fit_transform()
    125. preprocessing.StandardScaler.fit()
    126. preprocessing.StandardScaler.get_params()
    127. preprocessing.StandardScaler.inverse_transform()
    128. preprocessing.StandardScaler.partial_fit()
    129. preprocessing.StandardScaler.set_params()
    130. preprocessing.StandardScaler.std_
    131. preprocessing.StandardScaler.transform()
    132. preprocessing.StandardScaler()
    133. sklearn.preprocessing.add_dummy_feature()
    134. sklearn.preprocessing.binarize()
    135. sklearn.preprocessing.label_binarize()
    136. sklearn.preprocessing.maxabs_scale()
    137. sklearn.preprocessing.minmax_scale()
    138. sklearn.preprocessing.normalize()
    139. sklearn.preprocessing.robust_scale()
    140. sklearn.preprocessing.scale()
  39. random_projection
    1. random_projection.GaussianRandomProjection
    2. random_projection.GaussianRandomProjection.__init__()
    3. random_projection.GaussianRandomProjection.fit_transform()
    4. random_projection.GaussianRandomProjection.fit()
    5. random_projection.GaussianRandomProjection.get_params()
    6. random_projection.GaussianRandomProjection.set_params()
    7. random_projection.GaussianRandomProjection.transform()
    8. random_projection.GaussianRandomProjection()
    9. random_projection.johnson_lindenstrauss_min_dim()
    10. random_projection.SparseRandomProjection
    11. random_projection.SparseRandomProjection.__init__()
    12. random_projection.SparseRandomProjection.fit_transform()
    13. random_projection.SparseRandomProjection.fit()
    14. random_projection.SparseRandomProjection.get_params()
    15. random_projection.SparseRandomProjection.set_params()
    16. random_projection.SparseRandomProjection.transform()
    17. random_projection.SparseRandomProjection()
    18. sklearn.random_projection.johnson_lindenstrauss_min_dim()
  40. semi_supervised
    1. semi_supervised.LabelPropagation
    2. semi_supervised.LabelPropagation.__init__()
    3. semi_supervised.LabelPropagation.fit()
    4. semi_supervised.LabelPropagation.get_params()
    5. semi_supervised.LabelPropagation.predict_proba()
    6. semi_supervised.LabelPropagation.predict()
    7. semi_supervised.LabelPropagation.score()
    8. semi_supervised.LabelPropagation.set_params()
    9. semi_supervised.LabelPropagation()
    10. semi_supervised.LabelSpreading
    11. semi_supervised.LabelSpreading.__init__()
    12. semi_supervised.LabelSpreading.fit()
    13. semi_supervised.LabelSpreading.get_params()
    14. semi_supervised.LabelSpreading.predict_proba()
    15. semi_supervised.LabelSpreading.predict()
    16. semi_supervised.LabelSpreading.score()
    17. semi_supervised.LabelSpreading.set_params()
    18. semi_supervised.LabelSpreading()
  41. svm
    1. sklearn.svm.l1_min_c()
    2. svm.l1_min_c()
    3. svm.LinearSVC
    4. svm.LinearSVC.__init__()
    5. svm.LinearSVC.decision_function()
    6. svm.LinearSVC.densify()
    7. svm.LinearSVC.fit_transform()
    8. svm.LinearSVC.fit()
    9. svm.LinearSVC.get_params()
    10. svm.LinearSVC.predict()
    11. svm.LinearSVC.score()
    12. svm.LinearSVC.set_params()
    13. svm.LinearSVC.sparsify()
    14. svm.LinearSVC.transform()
    15. svm.LinearSVC()
    16. svm.LinearSVR
    17. svm.LinearSVR.__init__()
    18. svm.LinearSVR.decision_function()
    19. svm.LinearSVR.fit()
    20. svm.LinearSVR.get_params()
    21. svm.LinearSVR.predict()
    22. svm.LinearSVR.score()
    23. svm.LinearSVR.set_params()
    24. svm.LinearSVR()
    25. svm.NuSVC
    26. svm.NuSVC.__init__()
    27. svm.NuSVC.decision_function()
    28. svm.NuSVC.fit()
    29. svm.NuSVC.get_params()
    30. svm.NuSVC.predict_log_proba
    31. svm.NuSVC.predict_proba
    32. svm.NuSVC.predict()
    33. svm.NuSVC.score()
    34. svm.NuSVC.set_params()
    35. svm.NuSVC()
    36. svm.NuSVR
    37. svm.NuSVR.__init__()
    38. svm.NuSVR.decision_function()
    39. svm.NuSVR.fit()
    40. svm.NuSVR.get_params()
    41. svm.NuSVR.predict()
    42. svm.NuSVR.score()
    43. svm.NuSVR.set_params()
    44. svm.NuSVR()
    45. svm.OneClassSVM
    46. svm.OneClassSVM.__init__()
    47. svm.OneClassSVM.decision_function()
    48. svm.OneClassSVM.fit()
    49. svm.OneClassSVM.get_params()
    50. svm.OneClassSVM.predict()
    51. svm.OneClassSVM.set_params()
    52. svm.OneClassSVM()
    53. svm.SVC
    54. svm.SVC.__init__()
    55. svm.SVC.decision_function()
    56. svm.SVC.fit()
    57. svm.SVC.get_params()
    58. svm.SVC.predict_log_proba
    59. svm.SVC.predict_proba
    60. svm.SVC.predict()
    61. svm.SVC.score()
    62. svm.SVC.set_params()
    63. svm.SVC()
    64. svm.SVR
    65. svm.SVR.__init__()
    66. svm.SVR.decision_function()
    67. svm.SVR.fit()
    68. svm.SVR.get_params()
    69. svm.SVR.predict()
    70. svm.SVR.score()
    71. svm.SVR.set_params()
    72. svm.SVR()
  42. svm.libsvm
    1. sklearn.svm.libsvm.cross_validation()
    2. sklearn.svm.libsvm.decision_function()
    3. sklearn.svm.libsvm.fit()
    4. sklearn.svm.libsvm.predict_proba()
    5. sklearn.svm.libsvm.predict()
    6. svm.libsvm.cross_validation()
    7. svm.libsvm.decision_function()
    8. svm.libsvm.fit()
    9. svm.libsvm.predict_proba()
    10. svm.libsvm.predict()
  43. tree
    1. sklearn.tree.export_graphviz()
    2. tree.DecisionTreeClassifier
    3. tree.DecisionTreeClassifier.__init__()
    4. tree.DecisionTreeClassifier.apply()
    5. tree.DecisionTreeClassifier.decision_path()
    6. tree.DecisionTreeClassifier.feature_importances_
    7. tree.DecisionTreeClassifier.fit_transform()
    8. tree.DecisionTreeClassifier.fit()
    9. tree.DecisionTreeClassifier.get_params()
    10. tree.DecisionTreeClassifier.predict_log_proba()
    11. tree.DecisionTreeClassifier.predict_proba()
    12. tree.DecisionTreeClassifier.predict()
    13. tree.DecisionTreeClassifier.score()
    14. tree.DecisionTreeClassifier.set_params()
    15. tree.DecisionTreeClassifier.transform()
    16. tree.DecisionTreeClassifier()
    17. tree.DecisionTreeRegressor
    18. tree.DecisionTreeRegressor.__init__()
    19. tree.DecisionTreeRegressor.apply()
    20. tree.DecisionTreeRegressor.decision_path()
    21. tree.DecisionTreeRegressor.feature_importances_
    22. tree.DecisionTreeRegressor.fit_transform()
    23. tree.DecisionTreeRegressor.fit()
    24. tree.DecisionTreeRegressor.get_params()
    25. tree.DecisionTreeRegressor.predict()
    26. tree.DecisionTreeRegressor.score()
    27. tree.DecisionTreeRegressor.set_params()
    28. tree.DecisionTreeRegressor.transform()
    29. tree.DecisionTreeRegressor()
    30. tree.export_graphviz()
    31. tree.ExtraTreeClassifier
    32. tree.ExtraTreeClassifier.__init__()
    33. tree.ExtraTreeClassifier.apply()
    34. tree.ExtraTreeClassifier.decision_path()
    35. tree.ExtraTreeClassifier.feature_importances_
    36. tree.ExtraTreeClassifier.fit_transform()
    37. tree.ExtraTreeClassifier.fit()
    38. tree.ExtraTreeClassifier.get_params()
    39. tree.ExtraTreeClassifier.predict_log_proba()
    40. tree.ExtraTreeClassifier.predict_proba()
    41. tree.ExtraTreeClassifier.predict()
    42. tree.ExtraTreeClassifier.score()
    43. tree.ExtraTreeClassifier.set_params()
    44. tree.ExtraTreeClassifier.transform()
    45. tree.ExtraTreeClassifier()
    46. tree.ExtraTreeRegressor
    47. tree.ExtraTreeRegressor.__init__()
    48. tree.ExtraTreeRegressor.apply()
    49. tree.ExtraTreeRegressor.decision_path()
    50. tree.ExtraTreeRegressor.feature_importances_
    51. tree.ExtraTreeRegressor.fit_transform()
    52. tree.ExtraTreeRegressor.fit()
    53. tree.ExtraTreeRegressor.get_params()
    54. tree.ExtraTreeRegressor.predict()
    55. tree.ExtraTreeRegressor.score()
    56. tree.ExtraTreeRegressor.set_params()
    57. tree.ExtraTreeRegressor.transform()
    58. tree.ExtraTreeRegressor()
  44. Tutorials
    1. Tutorial: A tutorial on statistical-learning for scientific data processing
    2. Tutorial: An introduction to machine learning with scikit-learn
    3. Tutorial: Choosing the right estimator
    4. Tutorial: Model selection
    5. Tutorial: Putting it all together
    6. Tutorial: scikit-learn Tutorials
    7. Tutorial: Statistical learning
    8. Tutorial: Supervised learning
    9. Tutorial: Unsupervised learning
    10. Tutorial: Working With Text Data
  45. utils
    1. sklearn.utils.check_random_state()
    2. sklearn.utils.resample()
    3. sklearn.utils.shuffle()
    4. utils.check_random_state()
    5. utils.resample()
    6. utils.shuffle()
  46. utils.estimator_checks
    1. sklearn.utils.estimator_checks.check_estimator()
    2. utils.estimator_checks.check_estimator()
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sklearn.datasets.make_multilabel_classification()

sklearn.datasets.make_multilabel_classification

sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50, allow_unlabeled=True, sparse=False, return_indicator='dense', return_distributions=False, random_state=None) [source]

Generate a random multilabel classification problem.

For each sample, the generative process is:
  • pick the number of labels: n ~ Poisson(n_labels)
  • n times, choose a class c: c ~ Multinomial(theta)
  • pick the document length: k ~ Poisson(length