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| Current File : //proc/thread-self/root/usr/local/lib/python3.8/dist-packages/sklearn/decomposition/__init__.py |
"""
The :mod:`sklearn.decomposition` module includes matrix decomposition
algorithms, including among others PCA, NMF or ICA. Most of the algorithms of
this module can be regarded as dimensionality reduction techniques.
"""
from ._nmf import NMF, non_negative_factorization
from ._pca import PCA
from ._incremental_pca import IncrementalPCA
from ._kernel_pca import KernelPCA
from ._sparse_pca import SparsePCA, MiniBatchSparsePCA
from ._truncated_svd import TruncatedSVD
from ._fastica import FastICA, fastica
from ._dict_learning import (dict_learning, dict_learning_online,
sparse_encode, DictionaryLearning,
MiniBatchDictionaryLearning, SparseCoder)
from ._factor_analysis import FactorAnalysis
from ..utils.extmath import randomized_svd
from ._lda import LatentDirichletAllocation
__all__ = ['DictionaryLearning',
'FastICA',
'IncrementalPCA',
'KernelPCA',
'MiniBatchDictionaryLearning',
'MiniBatchSparsePCA',
'NMF',
'PCA',
'SparseCoder',
'SparsePCA',
'dict_learning',
'dict_learning_online',
'fastica',
'non_negative_factorization',
'randomized_svd',
'sparse_encode',
'FactorAnalysis',
'TruncatedSVD',
'LatentDirichletAllocation']