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abexp-0.0.3
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مشاهده بیشترتوضیحات
Python A/B testing experiment library
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | abexp-0.0.3 |
| نام | abexp |
| نسخه کتابخانه | 0.0.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/abexp/ |
| مجوز | - |
[comment]: <> (Modify also docs/installation.rst if change the README.md)
[comment]: <> (Modify also LICENSE.rst if change the README.md)
ABexp
=====
[comment]: <> (Modify also docs/badges.rst if you change the badges)
[comment]: <> (Modify also LICENSE.rst if you change the license)
**ABexp** is a ``Python`` library which aims to support users along the entire end-to-end A/B test experiment flow
(see picture below). It contains A/B testing modules which use both frequentist and bayesian statistical approaches
including bayesian generalized linear model (GLM).
<br/>
<br/>
Installation
------------
This library is distributed on [PyPI](https://pypi.org/project/abexp/) and
can be installed with ``pip``. The latest release is version ``0.0.1``.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ pip install abexp
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The command above will automatically install all the dependencies listed in ``requirements.txt``. Please visit the
[installation](https://playtikaresearch.github.io/abexp/installation.html)
page for more details.
<br/>
Getting started
---------------
A short example, illustrating it use:
~~~~~~~~~~~~~~~
import abexp
~~~~~~~~~~~~~~~
Compute the minimum sample size needed for an A/B test experiment with two variants, so called control and treatment
groups.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
from abexp.core.design import SampleSize
c = 0.33 # conversion rate control group
t = 0.31 # conversion rate treatment group
sample_size = SampleSize.ssd_prop(prop_contr=c, prop_treat=t) # minimum sample size per each group
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<br/>
Documentation
-------------
For more information please read the full
[documentation](https://playtikaresearch.github.io/abexp/abexp.html)
and
[tutorials](https://playtikaresearch.github.io/abexp/tutorials.html).
<br/>
Info for developers
-------------------
The source code of the project is available on [GitHub](https://github.com/PlaytikaResearch/abexp).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ git clone https://github.com/PlaytikaResearch/abexp.git
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can install the library and the dependencies with one of the following commands:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ pip install . # install library + dependencies
$ pip install .[develop] # install library + dependencies + developer-dependencies
$ pip install -r requirements.txt # install dependencies
$ pip install -r requirements-dev.txt # install developer-dependencies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
As suggested by the authors of ``pymc3`` and ``pandoc``, we highly recommend to install these dependencies with
``conda``:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ conda install -c conda-forge pandoc
$ conda install -c conda-forge pymc3
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To create the file ``abexp.whl`` for the installation with ``pip`` run the following command:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ python setup.py sdist bdist_wheel
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To create the HTML documentation run the following commands:
~~~~~~~~~~~
$ cd docs
$ make html
~~~~~~~~~~~
<br/>
Run tests
---------
Tests can be executed with ``pytest`` running the following commands:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
$ cd tests
$ pytest # run all tests
$ pytest test_testmodule.py # run all tests within a module
$ pytest test_testmodule.py -k test_testname # run only 1 test
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<br/>
License
-------
[MIT License](LICENSE)
نیازمندی
| مقدار | نام |
|---|---|
| ==0.11.2 | arviz |
| ==4.6.3 | lxml |
| ==3.3.4 | matplotlib |
| ==1.19.5 | numpy |
| ==1.1.5 | pandas |
| ==3.11.2 | pymc3 |
| ==0.24.2 | scikit-learn |
| ==1.5.4 | scipy |
| ==0.12.2 | statsmodels |
| ==0.0.8 | stochatreat |
| ==3.9.2 | flake8 |
| ==7.23.1 | ipython |
| ==0.8.4 | nbsphinx |
| ==1.0.2 | pandoc |
| ==2.12.1 | pre-commit |
| ==6.2.4 | pytest |
| ==52.0.0 | setuptools |
| ==4.0.0 | sphinx |
| ==0.5.2 | sphinx-rtd-theme |
| ==0.36.2 | wheel |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl abexp-0.0.3:
pip install abexp-0.0.3.whl
نصب پکیج tar.gz abexp-0.0.3:
pip install abexp-0.0.3.tar.gz