https://github.com/ibmdecisionoptimization/doopl-r-sample

Example showing how to use OPL from R.
https://github.com/ibmdecisionoptimization/doopl-r-sample

Last synced: 4 months ago
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Example showing how to use OPL from R.

• Host: GitHub
• URL: https://github.com/ibmdecisionoptimization/doopl-r-sample
• Owner: IBMDecisionOptimization
• Created: 2018-10-25T13:53:58.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-10-25T13:58:48.000Z (over 7 years ago)
• Last Synced: 2025-10-10T00:31:18.647Z (8 months ago)
• Language: AMPL
• Size: 6.84 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md/LICENSE.md

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README

          
# doopl-R

This is an example on how to use OPL with the R framework and the reticulate library (open source library).

It shows how to run an OPL model with R dataframes as inputs, and R dataframes as solution outputs.

In this example, we use SQLite to retrieve data from a database.

To make it work, you need:

   * R runtime

   * a Python interpreter (2.7, 3.5 or 3.6)

   * doopl library installed in your Python environment (https://pypi.org/project/doopl/)

   * CPLEX Studio 128 runtime (Windows, Linux or Mac are the only supported platforms of doopl)

   

First, install doopl library in your Python interpreter: 'pip install doopl'. You alternatively download it and put it in your PYTHONPATH).

Second, set the environment path variable to point to the OPL runtime:

   * on Mac OS, it will be something like DYLD_LIBRARY_PATH=/Applications/CPLEX_Studio128/opl/bin/x86-64_osx

   * on Linux, it will be LD_LIBRARY_PATH

   * on Windows, it will be PATH.

   

Now, you can run R and the carseq.r script.

All the doopl functionalities are available in R. You can find the doopl examples here: https://github.com/IBMDecisionOptimization/doopl-examples/tree/master/examples

You can access the reticulate documentation here: https://rstudio.github.io/reticulate/articles/calling_python.html where you will find all the R-Python conversions.