Aluode/PerceptionLabPortable

1"""Matrix decomposition algorithms.
2
3These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be
4regarded as dimensionality reduction techniques.
5"""
6
7# Authors: The scikit-learn developers
8# SPDX-License-Identifier: BSD-3-Clause
9
10from ..utils.extmath import randomized_svd
11from ._dict_learning import (
12    DictionaryLearning,
13    MiniBatchDictionaryLearning,
14    SparseCoder,
15    dict_learning,
16    dict_learning_online,
17    sparse_encode,
18)
19from ._factor_analysis import FactorAnalysis
20from ._fastica import FastICA, fastica
21from ._incremental_pca import IncrementalPCA
22from ._kernel_pca import KernelPCA
23from ._lda import LatentDirichletAllocation
24from ._nmf import (
25    NMF,
26    MiniBatchNMF,
27    non_negative_factorization,
28)
29from ._pca import PCA
30from ._sparse_pca import MiniBatchSparsePCA, SparsePCA
31from ._truncated_svd import TruncatedSVD
32
33__all__ = [
34    "NMF",
35    "PCA",
36    "DictionaryLearning",
37    "FactorAnalysis",
38    "FastICA",
39    "IncrementalPCA",
40    "KernelPCA",
41    "LatentDirichletAllocation",
42    "MiniBatchDictionaryLearning",
43    "MiniBatchNMF",
44    "MiniBatchSparsePCA",
45    "SparseCoder",
46    "SparsePCA",
47    "TruncatedSVD",
48    "dict_learning",
49    "dict_learning_online",
50    "fastica",
51    "non_negative_factorization",
52    "randomized_svd",
53    "sparse_encode",
54]
55