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-pymc
Version: 5.3.0
Release: 1
Summary: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
License: Apache License, Version 2.0
URL: http://github.com/pymc-devs/pymc
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/f7/8267c7f163d0b75e9ca3a76fd67f2f1f6a7c564d3a921ed9b35569db8b3a/pymc-5.3.0.tar.gz
BuildArch: noarch
Requires: python3-arviz
Requires: python3-cachetools
Requires: python3-cloudpickle
Requires: python3-fastprogress
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-pytensor
Requires: python3-scipy
Requires: python3-typing-extensions
%description
- Intuitive model specification syntax, for example, ``x ~ N(0,1)``
translates to ``x = Normal('x',0,1)``
- **Powerful sampling algorithms**, such as the `No U-Turn
Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
with thousands of parameters with little specialized knowledge of
fitting algorithms.
- **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
for fast approximate posterior estimation as well as mini-batch ADVI
for large data sets.
- Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
* Computation optimization and dynamic C or JAX compilation
* NumPy broadcasting and advanced indexing
* Linear algebra operators
* Simple extensibility
- Transparent support for missing value imputation
%package -n python3-pymc
Summary: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
Provides: python-pymc
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pymc
- Intuitive model specification syntax, for example, ``x ~ N(0,1)``
translates to ``x = Normal('x',0,1)``
- **Powerful sampling algorithms**, such as the `No U-Turn
Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
with thousands of parameters with little specialized knowledge of
fitting algorithms.
- **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
for fast approximate posterior estimation as well as mini-batch ADVI
for large data sets.
- Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
* Computation optimization and dynamic C or JAX compilation
* NumPy broadcasting and advanced indexing
* Linear algebra operators
* Simple extensibility
- Transparent support for missing value imputation
%package help
Summary: Development documents and examples for pymc
Provides: python3-pymc-doc
%description help
- Intuitive model specification syntax, for example, ``x ~ N(0,1)``
translates to ``x = Normal('x',0,1)``
- **Powerful sampling algorithms**, such as the `No U-Turn
Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
with thousands of parameters with little specialized knowledge of
fitting algorithms.
- **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
for fast approximate posterior estimation as well as mini-batch ADVI
for large data sets.
- Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
* Computation optimization and dynamic C or JAX compilation
* NumPy broadcasting and advanced indexing
* Linear algebra operators
* Simple extensibility
- Transparent support for missing value imputation
%prep
%autosetup -n pymc-5.3.0
%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-pymc -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 5.3.0-1
- Package Spec generated
|
