1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
|
%global _empty_manifest_terminate_build 0
Name: python-mlinsights
Version: 0.3.649
Release: 1
Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
License: MIT
URL: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8d/27/716cd86f23dffacfae3bced0797f1c06c34eddedab13f8532952b705a72e/mlinsights-0.3.649.tar.gz
Requires: python3-cython
Requires: python3-scikit-learn
Requires: python3-pandas
Requires: python3-scipy
Requires: python3-matplotlib
Requires: python3-pandas-streaming
Requires: python3-numpy
%description
*mlinsights* extends *scikit-learn* with a couple of new models,
transformers, metrics, plotting. It provides new trainers such as
*QuantileLinearRegression* which trains a linear regression with *L1* norm
non-linear correlation based on decision trees, or
*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor
which trains a multi-layer perceptron with *L1* norm.
It also explores *PredictableTSNE* which trains a supervized
model to replicate *t-SNE* results or a *PiecewiseRegression*
which partitions the data before fitting a model on each bucket.
* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_
* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_
* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_
Function ``pipeline2dot`` converts a pipeline into a graph:
from mlinsights.plotting import pipeline2dot
dot = pipeline2dot(clf, df)
%package -n python3-mlinsights
Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
Provides: python-mlinsights
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-mlinsights
*mlinsights* extends *scikit-learn* with a couple of new models,
transformers, metrics, plotting. It provides new trainers such as
*QuantileLinearRegression* which trains a linear regression with *L1* norm
non-linear correlation based on decision trees, or
*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor
which trains a multi-layer perceptron with *L1* norm.
It also explores *PredictableTSNE* which trains a supervized
model to replicate *t-SNE* results or a *PiecewiseRegression*
which partitions the data before fitting a model on each bucket.
* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_
* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_
* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_
Function ``pipeline2dot`` converts a pipeline into a graph:
from mlinsights.plotting import pipeline2dot
dot = pipeline2dot(clf, df)
%package help
Summary: Development documents and examples for mlinsights
Provides: python3-mlinsights-doc
%description help
*mlinsights* extends *scikit-learn* with a couple of new models,
transformers, metrics, plotting. It provides new trainers such as
*QuantileLinearRegression* which trains a linear regression with *L1* norm
non-linear correlation based on decision trees, or
*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor
which trains a multi-layer perceptron with *L1* norm.
It also explores *PredictableTSNE* which trains a supervized
model to replicate *t-SNE* results or a *PiecewiseRegression*
which partitions the data before fitting a model on each bucket.
* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_
* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_
* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_
Function ``pipeline2dot`` converts a pipeline into a graph:
from mlinsights.plotting import pipeline2dot
dot = pipeline2dot(clf, df)
%prep
%autosetup -n mlinsights-0.3.649
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-mlinsights -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.649-1
- Package Spec generated
|
