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tirthajyoti committed Jul 24, 2019
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Expand Up @@ -4,13 +4,7 @@ Welcome to DOEPY
Design of Experiment Generator in Python (``pip install doepy``)
----------------------------------------------------------------

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<p align="center">

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</p>
.. image:: https://raw.githubusercontent.com/tirthajyoti/doepy/master/images/doe_1.PNG

Authored and maiantained by `Dr. Tirthajyoti
Sarkar <https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/>`__,
Expand All @@ -19,7 +13,7 @@ Fremont, California.
Check `my website <https://tirthajyoti.github.io>`__ for detailes about
my other projects and data science/ML articles.

## Introduction
Introduction
---------------

`Design of Experiment
Expand Down Expand Up @@ -136,7 +130,7 @@ How to install the package?

You can pip install the package!

**``pip install doepy``**
``pip install doepy``

Github
~~~~~~
Expand Down Expand Up @@ -200,13 +194,7 @@ Pressure Temperature FlowRate Time

There are, of course, half-factorial designs to try!

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.. image:: https://raw.githubusercontent.com/tirthajyoti/doepy/master/images/factorial%20designs.jpg

Latin Hypercube design
~~~~~~~~~~~~~~~~~~~~~~
Expand Down Expand Up @@ -248,13 +236,7 @@ Of course, there is no guarantee that you will get the same matrix if
you run this function because this are randomly sampled, but you get the
idea!

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.. image:: https://raw.githubusercontent.com/tirthajyoti/doepy/master/images/sed_3d.png

Other functions to try on
~~~~~~~~~~~~~~~~~~~~~~~~~
Expand Down Expand Up @@ -395,14 +377,14 @@ Acknowledgements and Requirements
The code was written in Python 3.7. It uses following external packages
that needs to be installed on your system to use it,

- **``pydoe``**: A package designed to help the scientist, engineer,
- ``pydoe``: A package designed to help the scientist, engineer,
statistician, etc., to construct appropriate experimental designs.
`Check the docs here <https://pythonhosted.org/pyDOE/>`__.

- **``diversipy``**: A collection of algorithms for sampling in
- ``diversipy``: A collection of algorithms for sampling in
hypercubes, selecting diverse subsets, and measuring diversity.
`Check the docs here <https://www.simonwessing.de/diversipy/doc/>`__.

- **``numpy``**
- ``numpy``

- **``pandas``**
- ``pandas``

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