automatic import of python-lifetimes

3 files changed, 271 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..eab1dcb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/Lifetimes-0.11.3.tar.gz
diff --git a/python-lifetimes.spec b/python-lifetimes.spec
new file mode 100644
index 0000000..a37857d
--- /dev/null
+++ b/python-lifetimes.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-Lifetimes
+Version:	0.11.3
+Release:	1
+Summary:	Measure customer lifetime value in Python
+License:	MIT
+URL:		https://github.com/CamDavidsonPilon/lifetimes
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b5/63/a3262c94c4773440369dca99c2202fb0ffe3b5cff7d07837ab8862219180/Lifetimes-0.11.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-pandas
+Requires:	python3-autograd
+Requires:	python3-dill
+
+%description
+![](http://i.imgur.com/7s3jqZM.png)
+
+#### Measuring users is hard. Lifetimes makes it easy.
+[![PyPI version](https://badge.fury.io/py/Lifetimes.svg)](https://badge.fury.io/py/Lifetimes)
+[![Documentation Status](https://readthedocs.org/projects/lifetimes/badge/?version=latest)](http://lifetimes.readthedocs.io/en/latest/?badge=latest)
+[![Build Status](https://travis-ci.org/CamDavidsonPilon/lifetimes.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifetimes)
+[![Coverage Status](https://coveralls.io/repos/CamDavidsonPilon/lifetimes/badge.svg?branch=master)](https://coveralls.io/r/CamDavidsonPilon/lifetimes?branch=master)
+
+
+## Introduction
+
+Lifetimes can be used to analyze your users based on a few assumption:
+
+1. Users interact with you when they are "alive".
+2. Users under study may "die" after some period of time.
+
+I've quoted "alive" and "die" as these are the most abstract terms: feel free to use your own definition of "alive" and "die" (they are used similarly to "birth" and "death" in survival analysis). Whenever we have individuals repeating occurrences, we can use Lifetimes to help understand user behaviour.
+
+### Applications
+
+If this is too abstract, consider these applications:
+
+ - Predicting how often a visitor will return to your website. (Alive = visiting. Die = decided the website wasn't for them)
+ - Understanding how frequently a patient may return to a hospital. (Alive = visiting. Die = maybe the patient moved to a new city, or became deceased.)
+ - Predicting individuals who have churned from an app using only their usage history. (Alive = logins. Die = removed the app)
+ - Predicting repeat purchases from a customer. (Alive = actively purchasing. Die = became disinterested with your product)
+ - Predicting the lifetime value of your customers
+
+### Specific Application: Customer Lifetime Value
+
+As emphasized by P. Fader and B. Hardie, understanding and acting on customer lifetime value (CLV) is the most important part of your business's sales efforts. [And (apparently) everyone is doing it wrong (Prof. Fader's Video Lecture)](https://www.youtube.com/watch?v=guj2gVEEx4s). *Lifetimes* is a Python library to calculate CLV for you.
+
+## Installation
+
+```bash
+pip install lifetimes
+```
+
+## Contributing
+
+Please refer to the [Contributing Guide](https://github.com/CamDavidsonPilon/lifetimes/blob/master/CONTRIBUTING.md) before creating any *Pull Requests*. It will make life easier for everyone.
+
+## Documentation and tutorials
+[Official documentation](http://lifetimes.readthedocs.io/en/latest/)
+
+
+## Questions? Comments? Requests?
+
+Please create an issue in the [lifetimes repository](https://github.com/CamDavidsonPilon/lifetimes). 
+
+## Main Articles
+
+1. Probably, the seminal article of Non-Contractual CLV is [*Counting Your Customers: Who Are They and What Will They Do Next?*](https://www.jstor.org/stable/2631608?seq=1#page_scan_tab_contents), by David C. Schmittlein, Donald G. Morrison and Richard Colombo. Despite it being paid, it is worth the read. The relevant information will eventually end up in this library's documentation though.
+1. The other (more recent) paper is [*“Counting Your Customers” the Easy Way:
+An Alternative to the Pareto/NBD Model*](http://brucehardie.com/papers/018/fader_et_al_mksc_05.pdf), by Peter Fader, Bruce Hardie and Ka Lok Lee.
+
+## More Information
+
+1. [Roberto Medri](http://cdn.oreillystatic.com/en/assets/1/event/85/Case%20Study_%20What_s%20a%20Customer%20Worth_%20Presentation.pdf) did a nice presentation on CLV at Etsy.
+1. [Papers](http://mktg.uni-svishtov.bg/ivm/resources/Counting_Your_Customers.pdf), lots of [papers](http://brucehardie.com/notes/009/pareto_nbd_derivations_2005-11-05.pdf).
+1. R implementation is called [BTYD](http://cran.r-project.org/web/packages/BTYD/vignettes/BTYD-walkthrough.pdf) (*Buy 'Til You Die*).
+1. [Bruce Hardie's Website](http://brucehardie.com/), especially his notes, is full of useful and essential explanations, many of which are featured in this library.
+
+
+
+
+%package -n python3-Lifetimes
+Summary:	Measure customer lifetime value in Python
+Provides:	python-Lifetimes
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Lifetimes
+![](http://i.imgur.com/7s3jqZM.png)
+
+#### Measuring users is hard. Lifetimes makes it easy.
+[![PyPI version](https://badge.fury.io/py/Lifetimes.svg)](https://badge.fury.io/py/Lifetimes)
+[![Documentation Status](https://readthedocs.org/projects/lifetimes/badge/?version=latest)](http://lifetimes.readthedocs.io/en/latest/?badge=latest)
+[![Build Status](https://travis-ci.org/CamDavidsonPilon/lifetimes.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifetimes)
+[![Coverage Status](https://coveralls.io/repos/CamDavidsonPilon/lifetimes/badge.svg?branch=master)](https://coveralls.io/r/CamDavidsonPilon/lifetimes?branch=master)
+
+
+## Introduction
+
+Lifetimes can be used to analyze your users based on a few assumption:
+
+1. Users interact with you when they are "alive".
+2. Users under study may "die" after some period of time.
+
+I've quoted "alive" and "die" as these are the most abstract terms: feel free to use your own definition of "alive" and "die" (they are used similarly to "birth" and "death" in survival analysis). Whenever we have individuals repeating occurrences, we can use Lifetimes to help understand user behaviour.
+
+### Applications
+
+If this is too abstract, consider these applications:
+
+ - Predicting how often a visitor will return to your website. (Alive = visiting. Die = decided the website wasn't for them)
+ - Understanding how frequently a patient may return to a hospital. (Alive = visiting. Die = maybe the patient moved to a new city, or became deceased.)
+ - Predicting individuals who have churned from an app using only their usage history. (Alive = logins. Die = removed the app)
+ - Predicting repeat purchases from a customer. (Alive = actively purchasing. Die = became disinterested with your product)
+ - Predicting the lifetime value of your customers
+
+### Specific Application: Customer Lifetime Value
+
+As emphasized by P. Fader and B. Hardie, understanding and acting on customer lifetime value (CLV) is the most important part of your business's sales efforts. [And (apparently) everyone is doing it wrong (Prof. Fader's Video Lecture)](https://www.youtube.com/watch?v=guj2gVEEx4s). *Lifetimes* is a Python library to calculate CLV for you.
+
+## Installation
+
+```bash
+pip install lifetimes
+```
+
+## Contributing
+
+Please refer to the [Contributing Guide](https://github.com/CamDavidsonPilon/lifetimes/blob/master/CONTRIBUTING.md) before creating any *Pull Requests*. It will make life easier for everyone.
+
+## Documentation and tutorials
+[Official documentation](http://lifetimes.readthedocs.io/en/latest/)
+
+
+## Questions? Comments? Requests?
+
+Please create an issue in the [lifetimes repository](https://github.com/CamDavidsonPilon/lifetimes). 
+
+## Main Articles
+
+1. Probably, the seminal article of Non-Contractual CLV is [*Counting Your Customers: Who Are They and What Will They Do Next?*](https://www.jstor.org/stable/2631608?seq=1#page_scan_tab_contents), by David C. Schmittlein, Donald G. Morrison and Richard Colombo. Despite it being paid, it is worth the read. The relevant information will eventually end up in this library's documentation though.
+1. The other (more recent) paper is [*“Counting Your Customers” the Easy Way:
+An Alternative to the Pareto/NBD Model*](http://brucehardie.com/papers/018/fader_et_al_mksc_05.pdf), by Peter Fader, Bruce Hardie and Ka Lok Lee.
+
+## More Information
+
+1. [Roberto Medri](http://cdn.oreillystatic.com/en/assets/1/event/85/Case%20Study_%20What_s%20a%20Customer%20Worth_%20Presentation.pdf) did a nice presentation on CLV at Etsy.
+1. [Papers](http://mktg.uni-svishtov.bg/ivm/resources/Counting_Your_Customers.pdf), lots of [papers](http://brucehardie.com/notes/009/pareto_nbd_derivations_2005-11-05.pdf).
+1. R implementation is called [BTYD](http://cran.r-project.org/web/packages/BTYD/vignettes/BTYD-walkthrough.pdf) (*Buy 'Til You Die*).
+1. [Bruce Hardie's Website](http://brucehardie.com/), especially his notes, is full of useful and essential explanations, many of which are featured in this library.
+
+
+
+
+%package help
+Summary:	Development documents and examples for Lifetimes
+Provides:	python3-Lifetimes-doc
+%description help
+![](http://i.imgur.com/7s3jqZM.png)
+
+#### Measuring users is hard. Lifetimes makes it easy.
+[![PyPI version](https://badge.fury.io/py/Lifetimes.svg)](https://badge.fury.io/py/Lifetimes)
+[![Documentation Status](https://readthedocs.org/projects/lifetimes/badge/?version=latest)](http://lifetimes.readthedocs.io/en/latest/?badge=latest)
+[![Build Status](https://travis-ci.org/CamDavidsonPilon/lifetimes.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifetimes)
+[![Coverage Status](https://coveralls.io/repos/CamDavidsonPilon/lifetimes/badge.svg?branch=master)](https://coveralls.io/r/CamDavidsonPilon/lifetimes?branch=master)
+
+
+## Introduction
+
+Lifetimes can be used to analyze your users based on a few assumption:
+
+1. Users interact with you when they are "alive".
+2. Users under study may "die" after some period of time.
+
+I've quoted "alive" and "die" as these are the most abstract terms: feel free to use your own definition of "alive" and "die" (they are used similarly to "birth" and "death" in survival analysis). Whenever we have individuals repeating occurrences, we can use Lifetimes to help understand user behaviour.
+
+### Applications
+
+If this is too abstract, consider these applications:
+
+ - Predicting how often a visitor will return to your website. (Alive = visiting. Die = decided the website wasn't for them)
+ - Understanding how frequently a patient may return to a hospital. (Alive = visiting. Die = maybe the patient moved to a new city, or became deceased.)
+ - Predicting individuals who have churned from an app using only their usage history. (Alive = logins. Die = removed the app)
+ - Predicting repeat purchases from a customer. (Alive = actively purchasing. Die = became disinterested with your product)
+ - Predicting the lifetime value of your customers
+
+### Specific Application: Customer Lifetime Value
+
+As emphasized by P. Fader and B. Hardie, understanding and acting on customer lifetime value (CLV) is the most important part of your business's sales efforts. [And (apparently) everyone is doing it wrong (Prof. Fader's Video Lecture)](https://www.youtube.com/watch?v=guj2gVEEx4s). *Lifetimes* is a Python library to calculate CLV for you.
+
+## Installation
+
+```bash
+pip install lifetimes
+```
+
+## Contributing
+
+Please refer to the [Contributing Guide](https://github.com/CamDavidsonPilon/lifetimes/blob/master/CONTRIBUTING.md) before creating any *Pull Requests*. It will make life easier for everyone.
+
+## Documentation and tutorials
+[Official documentation](http://lifetimes.readthedocs.io/en/latest/)
+
+
+## Questions? Comments? Requests?
+
+Please create an issue in the [lifetimes repository](https://github.com/CamDavidsonPilon/lifetimes). 
+
+## Main Articles
+
+1. Probably, the seminal article of Non-Contractual CLV is [*Counting Your Customers: Who Are They and What Will They Do Next?*](https://www.jstor.org/stable/2631608?seq=1#page_scan_tab_contents), by David C. Schmittlein, Donald G. Morrison and Richard Colombo. Despite it being paid, it is worth the read. The relevant information will eventually end up in this library's documentation though.
+1. The other (more recent) paper is [*“Counting Your Customers” the Easy Way:
+An Alternative to the Pareto/NBD Model*](http://brucehardie.com/papers/018/fader_et_al_mksc_05.pdf), by Peter Fader, Bruce Hardie and Ka Lok Lee.
+
+## More Information
+
+1. [Roberto Medri](http://cdn.oreillystatic.com/en/assets/1/event/85/Case%20Study_%20What_s%20a%20Customer%20Worth_%20Presentation.pdf) did a nice presentation on CLV at Etsy.
+1. [Papers](http://mktg.uni-svishtov.bg/ivm/resources/Counting_Your_Customers.pdf), lots of [papers](http://brucehardie.com/notes/009/pareto_nbd_derivations_2005-11-05.pdf).
+1. R implementation is called [BTYD](http://cran.r-project.org/web/packages/BTYD/vignettes/BTYD-walkthrough.pdf) (*Buy 'Til You Die*).
+1. [Bruce Hardie's Website](http://brucehardie.com/), especially his notes, is full of useful and essential explanations, many of which are featured in this library.
+
+
+
+
+%prep
+%autosetup -n Lifetimes-0.11.3
+
+%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-Lifetimes -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..6554707
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2b285c15773241f44d288b205b456f1b  Lifetimes-0.11.3.tar.gz