1172 lines
25 KiB
ReStructuredText
1172 lines
25 KiB
ReStructuredText
=========
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Reference
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=========
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This is the class and function reference of scikit-learn. Please refer to
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the :ref:`full user guide <user_guide>` for further details, as the class and
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function raw specifications may not be enough to give full guidelines on their
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uses.
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.. _cluster_ref:
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:mod:`sklearn.cluster`: Clustering
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==================================
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.. automodule:: sklearn.cluster
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`clustering` section for further details.
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Classes
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-------
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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cluster.AffinityPropagation
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cluster.DBSCAN
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cluster.KMeans
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cluster.MiniBatchKMeans
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cluster.MeanShift
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cluster.SpectralClustering
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cluster.Ward
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Functions
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---------
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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cluster.estimate_bandwidth
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cluster.k_means
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cluster.ward_tree
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cluster.affinity_propagation
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cluster.dbscan
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cluster.mean_shift
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cluster.spectral_clustering
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.. _bicluster_ref:
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:mod:`sklearn.cluster.bicluster`: Biclustering
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==============================================
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.. automodule:: sklearn.cluster.bicluster
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`biclustering` section for further details.
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Classes
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-------
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.. currentmodule:: sklearn.cluster.bicluster
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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SpectralBiclustering
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SpectralCoclustering
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.. _covariance_ref:
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:mod:`sklearn.covariance`: Covariance Estimators
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================================================
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.. automodule:: sklearn.covariance
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`covariance` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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covariance.EmpiricalCovariance
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covariance.EllipticEnvelope
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covariance.GraphLasso
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covariance.GraphLassoCV
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covariance.LedoitWolf
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covariance.MinCovDet
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covariance.OAS
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covariance.ShrunkCovariance
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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covariance.empirical_covariance
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covariance.ledoit_wolf
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covariance.shrunk_covariance
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covariance.oas
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covariance.graph_lasso
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.. _cross_validation_ref:
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:mod:`sklearn.cross_validation`: Cross Validation
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=================================================
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.. automodule:: sklearn.cross_validation
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`cross_validation` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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cross_validation.Bootstrap
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cross_validation.KFold
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cross_validation.LeaveOneLabelOut
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cross_validation.LeaveOneOut
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cross_validation.LeavePLabelOut
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cross_validation.LeavePOut
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cross_validation.StratifiedKFold
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cross_validation.ShuffleSplit
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cross_validation.StratifiedShuffleSplit
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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cross_validation.train_test_split
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cross_validation.cross_val_score
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cross_validation.permutation_test_score
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cross_validation.check_cv
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.. _datasets_ref:
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:mod:`sklearn.datasets`: Datasets
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=================================
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.. automodule:: sklearn.datasets
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`datasets` section for further details.
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Loaders
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-------
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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datasets.fetch_20newsgroups
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datasets.fetch_20newsgroups_vectorized
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datasets.load_boston
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datasets.load_diabetes
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datasets.load_digits
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datasets.load_files
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datasets.load_iris
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datasets.load_lfw_pairs
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datasets.fetch_lfw_pairs
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datasets.load_lfw_people
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datasets.fetch_lfw_people
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datasets.load_linnerud
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datasets.fetch_mldata
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datasets.fetch_olivetti_faces
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datasets.fetch_california_housing
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datasets.fetch_covtype
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datasets.load_mlcomp
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datasets.load_sample_image
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datasets.load_sample_images
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datasets.load_svmlight_file
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datasets.dump_svmlight_file
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Samples generator
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-----------------
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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datasets.make_blobs
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datasets.make_classification
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datasets.make_circles
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datasets.make_friedman1
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datasets.make_friedman2
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datasets.make_friedman3
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datasets.make_gaussian_quantiles
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datasets.make_hastie_10_2
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datasets.make_low_rank_matrix
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datasets.make_moons
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datasets.make_multilabel_classification
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datasets.make_regression
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datasets.make_s_curve
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datasets.make_sparse_coded_signal
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datasets.make_sparse_spd_matrix
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datasets.make_sparse_uncorrelated
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datasets.make_spd_matrix
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datasets.make_swiss_roll
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datasets.make_biclusters
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datasets.make_checkerboard
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.. _decomposition_ref:
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:mod:`sklearn.decomposition`: Matrix Decomposition
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==================================================
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.. automodule:: sklearn.decomposition
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`decompositions` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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decomposition.PCA
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decomposition.ProjectedGradientNMF
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decomposition.RandomizedPCA
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decomposition.KernelPCA
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decomposition.FactorAnalysis
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decomposition.FastICA
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decomposition.TruncatedSVD
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decomposition.NMF
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decomposition.SparsePCA
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decomposition.MiniBatchSparsePCA
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decomposition.SparseCoder
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decomposition.DictionaryLearning
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decomposition.MiniBatchDictionaryLearning
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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decomposition.fastica
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decomposition.dict_learning
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decomposition.dict_learning_online
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decomposition.sparse_encode
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.. _dummy_ref:
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:mod:`sklearn.dummy`: Dummy estimators
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======================================
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.. automodule:: sklearn.dummy
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`model_evaluation` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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dummy.DummyClassifier
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dummy.DummyRegressor
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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.. _ensemble_ref:
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:mod:`sklearn.ensemble`: Ensemble Methods
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=========================================
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.. automodule:: sklearn.ensemble
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`ensemble` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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ensemble.AdaBoostClassifier
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ensemble.AdaBoostRegressor
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ensemble.BaggingClassifier
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ensemble.BaggingRegressor
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ensemble.ExtraTreesClassifier
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ensemble.ExtraTreesRegressor
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ensemble.GradientBoostingClassifier
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ensemble.GradientBoostingRegressor
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ensemble.RandomForestClassifier
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ensemble.RandomTreesEmbedding
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ensemble.RandomForestRegressor
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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partial dependence
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------------------
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.. automodule:: sklearn.ensemble.partial_dependence
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:no-members:
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:no-inherited-members:
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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ensemble.partial_dependence.partial_dependence
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ensemble.partial_dependence.plot_partial_dependence
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.. _feature_extraction_ref:
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:mod:`sklearn.feature_extraction`: Feature Extraction
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=====================================================
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.. automodule:: sklearn.feature_extraction
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`feature_extraction` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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feature_extraction.DictVectorizer
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feature_extraction.FeatureHasher
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From images
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-----------
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.. automodule:: sklearn.feature_extraction.image
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:no-members:
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:no-inherited-members:
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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feature_extraction.image.img_to_graph
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feature_extraction.image.grid_to_graph
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feature_extraction.image.extract_patches_2d
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feature_extraction.image.reconstruct_from_patches_2d
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:template: class.rst
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feature_extraction.image.PatchExtractor
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.. _text_feature_extraction_ref:
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From text
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---------
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.. automodule:: sklearn.feature_extraction.text
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:no-members:
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:no-inherited-members:
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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feature_extraction.text.CountVectorizer
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feature_extraction.text.HashingVectorizer
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feature_extraction.text.TfidfTransformer
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feature_extraction.text.TfidfVectorizer
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.. _feature_selection_ref:
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:mod:`sklearn.feature_selection`: Feature Selection
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===================================================
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.. automodule:: sklearn.feature_selection
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`feature_selection` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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feature_selection.SelectPercentile
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feature_selection.SelectKBest
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feature_selection.SelectFpr
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feature_selection.SelectFdr
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feature_selection.SelectFwe
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feature_selection.RFE
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feature_selection.RFECV
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.. autosummary::
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:toctree: generated/
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:template: function.rst
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feature_selection.chi2
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feature_selection.f_classif
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feature_selection.f_regression
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.. _gaussian_process_ref:
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:mod:`sklearn.gaussian_process`: Gaussian Processes
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===================================================
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.. automodule:: sklearn.gaussian_process
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`gaussian_process` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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gaussian_process.GaussianProcess
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.. autosummary::
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:toctree: generated
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:template: function.rst
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gaussian_process.correlation_models.absolute_exponential
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gaussian_process.correlation_models.squared_exponential
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gaussian_process.correlation_models.generalized_exponential
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gaussian_process.correlation_models.pure_nugget
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gaussian_process.correlation_models.cubic
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gaussian_process.correlation_models.linear
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gaussian_process.regression_models.constant
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gaussian_process.regression_models.linear
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gaussian_process.regression_models.quadratic
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.. _grid_search_ref:
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:mod:`sklearn.grid_search`: Grid Search
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=======================================
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.. automodule:: sklearn.grid_search
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`grid_search` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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grid_search.GridSearchCV
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grid_search.ParameterGrid
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grid_search.ParameterSampler
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grid_search.RandomizedSearchCV
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.. _hmm_ref:
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:mod:`sklearn.hmm`: Hidden Markov Models
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========================================
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.. automodule:: sklearn.hmm
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`hmm` section for further details.
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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hmm.GaussianHMM
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hmm.MultinomialHMM
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hmm.GMMHMM
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.. _isotonic_ref:
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:mod:`sklearn.isotonic`: Isotonic regression
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============================================
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.. automodule:: sklearn.isotonic
|
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`isotonic` section for further details.
|
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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isotonic.IsotonicRegression
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.. autosummary::
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:toctree: generated
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:template: function.rst
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isotonic.isotonic_regression
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.. _kernel_approximation_ref:
|
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:mod:`sklearn.kernel_approximation` Kernel Approximation
|
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========================================================
|
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.. automodule:: sklearn.kernel_approximation
|
|
:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`kernel_approximation` section for further details.
|
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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kernel_approximation.AdditiveChi2Sampler
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kernel_approximation.Nystroem
|
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kernel_approximation.RBFSampler
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kernel_approximation.SkewedChi2Sampler
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:mod:`sklearn.semi_supervised` Semi-Supervised Learning
|
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========================================================
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.. automodule:: sklearn.semi_supervised
|
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:no-members:
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:no-inherited-members:
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**User guide:** See the :ref:`semi_supervised` section for further details.
|
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|
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.. currentmodule:: sklearn
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.. autosummary::
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:toctree: generated/
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:template: class.rst
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semi_supervised.LabelPropagation
|
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semi_supervised.LabelSpreading
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.. _lda_ref:
|
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:mod:`sklearn.lda`: Linear Discriminant Analysis
|
|
================================================
|
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.. automodule:: sklearn.lda
|
|
:no-members:
|
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:no-inherited-members:
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**User guide:** See the :ref:`lda_qda` section for further details.
|
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|
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.. currentmodule:: sklearn
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.. autosummary::
|
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:toctree: generated
|
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:template: class.rst
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lda.LDA
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.. _linear_model_ref:
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:mod:`sklearn.linear_model`: Generalized Linear Models
|
|
======================================================
|
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.. automodule:: sklearn.linear_model
|
|
:no-members:
|
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:no-inherited-members:
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**User guide:** See the :ref:`linear_model` section for further details.
|
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|
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.. currentmodule:: sklearn
|
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.. autosummary::
|
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:toctree: generated/
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:template: class.rst
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linear_model.ARDRegression
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linear_model.BayesianRidge
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linear_model.ElasticNet
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linear_model.ElasticNetCV
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linear_model.Lars
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linear_model.LarsCV
|
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linear_model.Lasso
|
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linear_model.LassoCV
|
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linear_model.LassoLars
|
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linear_model.LassoLarsCV
|
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linear_model.LassoLarsIC
|
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linear_model.LinearRegression
|
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linear_model.LogisticRegression
|
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linear_model.MultiTaskLasso
|
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linear_model.MultiTaskElasticNet
|
|
linear_model.OrthogonalMatchingPursuit
|
|
linear_model.OrthogonalMatchingPursuitCV
|
|
linear_model.PassiveAggressiveClassifier
|
|
linear_model.PassiveAggressiveRegressor
|
|
linear_model.Perceptron
|
|
linear_model.RandomizedLasso
|
|
linear_model.RandomizedLogisticRegression
|
|
linear_model.Ridge
|
|
linear_model.RidgeClassifier
|
|
linear_model.RidgeClassifierCV
|
|
linear_model.RidgeCV
|
|
linear_model.SGDClassifier
|
|
linear_model.SGDRegressor
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
linear_model.lars_path
|
|
linear_model.lasso_path
|
|
linear_model.lasso_stability_path
|
|
linear_model.orthogonal_mp
|
|
linear_model.orthogonal_mp_gram
|
|
|
|
|
|
.. _manifold_ref:
|
|
|
|
:mod:`sklearn.manifold`: Manifold Learning
|
|
==========================================
|
|
|
|
.. automodule:: sklearn.manifold
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`manifold` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: class.rst
|
|
|
|
manifold.LocallyLinearEmbedding
|
|
manifold.Isomap
|
|
manifold.MDS
|
|
manifold.SpectralEmbedding
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: function.rst
|
|
|
|
manifold.locally_linear_embedding
|
|
manifold.spectral_embedding
|
|
|
|
|
|
.. _metrics_ref:
|
|
|
|
:mod:`sklearn.metrics`: Metrics
|
|
===============================
|
|
|
|
See the :ref:`model_evaluation` section and the :ref:`metrics` section of the
|
|
user guide for further details.
|
|
|
|
.. automodule:: sklearn.metrics
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
Model Selection Interface
|
|
-------------------------
|
|
See the :ref:`scoring_parameter` section of the user guide for further
|
|
details.
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.make_scorer
|
|
|
|
Classification metrics
|
|
----------------------
|
|
|
|
See the :ref:`classification_metrics` section of the user guide for further
|
|
details.
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.accuracy_score
|
|
metrics.auc
|
|
metrics.average_precision_score
|
|
metrics.classification_report
|
|
metrics.confusion_matrix
|
|
metrics.f1_score
|
|
metrics.fbeta_score
|
|
metrics.hamming_loss
|
|
metrics.hinge_loss
|
|
metrics.jaccard_similarity_score
|
|
metrics.log_loss
|
|
metrics.matthews_corrcoef
|
|
metrics.precision_recall_curve
|
|
metrics.precision_recall_fscore_support
|
|
metrics.precision_score
|
|
metrics.recall_score
|
|
metrics.roc_auc_score
|
|
metrics.roc_curve
|
|
metrics.zero_one_loss
|
|
|
|
Regression metrics
|
|
------------------
|
|
|
|
See the :ref:`regression_metrics` section of the user guide for further
|
|
details.
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.explained_variance_score
|
|
metrics.mean_absolute_error
|
|
metrics.mean_squared_error
|
|
metrics.r2_score
|
|
|
|
|
|
Clustering metrics
|
|
------------------
|
|
|
|
See the :ref:`clustering_evaluation` section of the user guide for further
|
|
details.
|
|
|
|
.. automodule:: sklearn.metrics.cluster
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.adjusted_mutual_info_score
|
|
metrics.adjusted_rand_score
|
|
metrics.completeness_score
|
|
metrics.homogeneity_completeness_v_measure
|
|
metrics.homogeneity_score
|
|
metrics.mutual_info_score
|
|
metrics.normalized_mutual_info_score
|
|
metrics.silhouette_score
|
|
metrics.silhouette_samples
|
|
metrics.v_measure_score
|
|
|
|
Biclustering metrics
|
|
--------------------
|
|
|
|
See the :ref:`biclustering_evaluation` section of the user guide for
|
|
further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.consensus_score
|
|
|
|
|
|
Pairwise metrics
|
|
----------------
|
|
|
|
.. automodule:: sklearn.metrics.pairwise
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
metrics.pairwise.additive_chi2_kernel
|
|
metrics.pairwise.chi2_kernel
|
|
metrics.pairwise.distance_metrics
|
|
metrics.pairwise.euclidean_distances
|
|
metrics.pairwise.kernel_metrics
|
|
metrics.pairwise.linear_kernel
|
|
metrics.pairwise.manhattan_distances
|
|
metrics.pairwise.pairwise_distances
|
|
metrics.pairwise.pairwise_kernels
|
|
metrics.pairwise.polynomial_kernel
|
|
metrics.pairwise.rbf_kernel
|
|
|
|
|
|
.. _mixture_ref:
|
|
|
|
:mod:`sklearn.mixture`: Gaussian Mixture Models
|
|
===============================================
|
|
|
|
.. automodule:: sklearn.mixture
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`mixture` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
mixture.GMM
|
|
mixture.DPGMM
|
|
mixture.VBGMM
|
|
|
|
|
|
.. _multiclass_ref:
|
|
|
|
:mod:`sklearn.multiclass`: Multiclass and multilabel classification
|
|
===================================================================
|
|
|
|
.. automodule:: sklearn.multiclass
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`multiclass` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: class.rst
|
|
|
|
multiclass.OneVsRestClassifier
|
|
multiclass.OneVsOneClassifier
|
|
multiclass.OutputCodeClassifier
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: function.rst
|
|
|
|
multiclass.fit_ovr
|
|
multiclass.predict_ovr
|
|
multiclass.fit_ovo
|
|
multiclass.predict_ovo
|
|
multiclass.fit_ecoc
|
|
multiclass.predict_ecoc
|
|
|
|
.. _naive_bayes_ref:
|
|
|
|
:mod:`sklearn.naive_bayes`: Naive Bayes
|
|
=======================================
|
|
|
|
.. automodule:: sklearn.naive_bayes
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`naive_bayes` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
naive_bayes.GaussianNB
|
|
naive_bayes.MultinomialNB
|
|
naive_bayes.BernoulliNB
|
|
|
|
|
|
.. _neighbors_ref:
|
|
|
|
:mod:`sklearn.neighbors`: Nearest Neighbors
|
|
===========================================
|
|
|
|
.. automodule:: sklearn.neighbors
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`neighbors` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
neighbors.NearestNeighbors
|
|
neighbors.KNeighborsClassifier
|
|
neighbors.RadiusNeighborsClassifier
|
|
neighbors.KNeighborsRegressor
|
|
neighbors.RadiusNeighborsRegressor
|
|
neighbors.NearestCentroid
|
|
neighbors.BallTree
|
|
neighbors.KDTree
|
|
neighbors.DistanceMetric
|
|
neighbors.KernelDensity
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
neighbors.kneighbors_graph
|
|
neighbors.radius_neighbors_graph
|
|
|
|
.. _neural_network_ref:
|
|
|
|
:mod:`sklearn.neural_network`: Neural network models
|
|
=====================================================
|
|
|
|
.. automodule:: sklearn.neural_network
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`neural_network` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
neural_network.BernoulliRBM
|
|
|
|
|
|
.. _cross_decomposition_ref:
|
|
|
|
:mod:`sklearn.cross_decomposition`: Cross decomposition
|
|
=======================================================
|
|
|
|
.. automodule:: sklearn.cross_decomposition
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`cross_decomposition` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
cross_decomposition.PLSRegression
|
|
cross_decomposition.PLSCanonical
|
|
cross_decomposition.CCA
|
|
cross_decomposition.PLSSVD
|
|
|
|
|
|
.. _pipeline_ref:
|
|
|
|
:mod:`sklearn.pipeline`: Pipeline
|
|
=================================
|
|
|
|
.. automodule:: sklearn.pipeline
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
pipeline.Pipeline
|
|
pipeline.FeatureUnion
|
|
|
|
|
|
.. _preprocessing_ref:
|
|
|
|
:mod:`sklearn.preprocessing`: Preprocessing and Normalization
|
|
=============================================================
|
|
|
|
.. automodule:: sklearn.preprocessing
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`preprocessing` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
preprocessing.Binarizer
|
|
preprocessing.Imputer
|
|
preprocessing.KernelCenterer
|
|
preprocessing.LabelBinarizer
|
|
preprocessing.LabelEncoder
|
|
preprocessing.MinMaxScaler
|
|
preprocessing.Normalizer
|
|
preprocessing.OneHotEncoder
|
|
preprocessing.StandardScaler
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
preprocessing.add_dummy_feature
|
|
preprocessing.binarize
|
|
preprocessing.label_binarize
|
|
preprocessing.normalize
|
|
preprocessing.scale
|
|
|
|
|
|
:mod:`sklearn.qda`: Quadratic Discriminant Analysis
|
|
===================================================
|
|
|
|
.. automodule:: sklearn.qda
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`lda_qda` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: class.rst
|
|
|
|
qda.QDA
|
|
|
|
.. _random_projection_ref:
|
|
|
|
:mod:`sklearn.random_projection`: Random projection
|
|
===================================================
|
|
|
|
.. automodule:: sklearn.random_projection
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`random_projection` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
random_projection.GaussianRandomProjection
|
|
random_projection.SparseRandomProjection
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
random_projection.johnson_lindenstrauss_min_dim
|
|
|
|
|
|
.. _svm_ref:
|
|
|
|
:mod:`sklearn.svm`: Support Vector Machines
|
|
===========================================
|
|
|
|
.. automodule:: sklearn.svm
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`svm` section for further details.
|
|
|
|
Estimators
|
|
----------
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
svm.SVC
|
|
svm.LinearSVC
|
|
svm.NuSVC
|
|
svm.SVR
|
|
svm.NuSVR
|
|
svm.OneClassSVM
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
svm.l1_min_c
|
|
|
|
Low-level methods
|
|
-----------------
|
|
|
|
.. autosummary::
|
|
:toctree: generated
|
|
:template: function.rst
|
|
|
|
svm.libsvm.fit
|
|
svm.libsvm.decision_function
|
|
svm.libsvm.predict
|
|
svm.libsvm.predict_proba
|
|
svm.libsvm.cross_validation
|
|
|
|
|
|
.. _tree_ref:
|
|
|
|
:mod:`sklearn.tree`: Decision Trees
|
|
===================================
|
|
|
|
.. automodule:: sklearn.tree
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**User guide:** See the :ref:`tree` section for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: class.rst
|
|
|
|
tree.DecisionTreeClassifier
|
|
tree.DecisionTreeRegressor
|
|
tree.ExtraTreeClassifier
|
|
tree.ExtraTreeRegressor
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
tree.export_graphviz
|
|
|
|
|
|
.. _utils_ref:
|
|
|
|
:mod:`sklearn.utils`: Utilities
|
|
===============================
|
|
|
|
.. automodule:: sklearn.utils
|
|
:no-members:
|
|
:no-inherited-members:
|
|
|
|
**Developer guide:** See the :ref:`developers-utils` page for further details.
|
|
|
|
.. currentmodule:: sklearn
|
|
|
|
.. autosummary::
|
|
:toctree: generated/
|
|
:template: function.rst
|
|
|
|
utils.check_random_state
|
|
utils.resample
|
|
utils.shuffle
|