42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
|
"""
|
||
|
|
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']
|