42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
"""
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The :mod:`sklearn.decomposition` module includes matrix decomposition
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algorithms, including among others PCA, NMF or ICA. Most of the algorithms of
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this module can be regarded as dimensionality reduction techniques.
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"""
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from ._nmf import NMF, non_negative_factorization
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from ._pca import PCA
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from ._incremental_pca import IncrementalPCA
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from ._kernel_pca import KernelPCA
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from ._sparse_pca import SparsePCA, MiniBatchSparsePCA
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from ._truncated_svd import TruncatedSVD
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from ._fastica import FastICA, fastica
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from ._dict_learning import (dict_learning, dict_learning_online,
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sparse_encode, DictionaryLearning,
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MiniBatchDictionaryLearning, SparseCoder)
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from ._factor_analysis import FactorAnalysis
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from ..utils.extmath import randomized_svd
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from ._lda import LatentDirichletAllocation
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__all__ = ['DictionaryLearning',
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'FastICA',
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'IncrementalPCA',
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'KernelPCA',
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'MiniBatchDictionaryLearning',
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'MiniBatchSparsePCA',
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'NMF',
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'PCA',
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'SparseCoder',
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'SparsePCA',
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'dict_learning',
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'dict_learning_online',
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'fastica',
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'non_negative_factorization',
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'randomized_svd',
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'sparse_encode',
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'FactorAnalysis',
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'TruncatedSVD',
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'LatentDirichletAllocation']
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