"""
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 ..utils.extmath import randomized_svd
from ._dict_learning import (
    DictionaryLearning,
    MiniBatchDictionaryLearning,
    SparseCoder,
    dict_learning,
    dict_learning_online,
    sparse_encode,
)
from ._factor_analysis import FactorAnalysis
from ._fastica import FastICA, fastica
from ._incremental_pca import IncrementalPCA
from ._kernel_pca import KernelPCA
from ._lda import LatentDirichletAllocation
from ._nmf import (
    NMF,
    MiniBatchNMF,
    non_negative_factorization,
)
from ._pca import PCA
from ._sparse_pca import MiniBatchSparsePCA, SparsePCA
from ._truncated_svd import TruncatedSVD

__all__ = [
    "DictionaryLearning",
    "FastICA",
    "IncrementalPCA",
    "KernelPCA",
    "MiniBatchDictionaryLearning",
    "MiniBatchNMF",
    "MiniBatchSparsePCA",
    "NMF",
    "PCA",
    "SparseCoder",
    "SparsePCA",
    "dict_learning",
    "dict_learning_online",
    "fastica",
    "non_negative_factorization",
    "randomized_svd",
    "sparse_encode",
    "FactorAnalysis",
    "TruncatedSVD",
    "LatentDirichletAllocation",
]