.. image:: https://circleci.com/gh/mbaudin47/otusecases/tree/master.svg?style=svg :target: https://circleci.com/gh/mbaudin47/otusecases/tree/master
A repository of OpenTURNS test cases
This project contains OpenTURNS use cases and datasets.
The datasets can be used to perform data analysis with OpenTURNS. The goal is to have a set of .csv files which can be easily imported with OpenTURNS for example to fit a marginal distribution, to fit a copula or to create a datamodel.
Each use-case is made of a function and the distribution of its inputs. Each use-case has a specific methodological goal: central dispersion, reliability, sensitivity analysis or calibration. In general, each use-case is presented in a Notebook: the equations of the function, the references (if any), the simplest possible study which shows how to use the test-case. The use-cases can be used to benchmark a method, but the Notebook only shows the simplest (e.g. the Monte-Carlo method): the goal of each example is not to actuall show the benchmark results. Generally, each use case has a specific goal (e.g. central dispersion), but some use cases can be derived to achieve different methodological goals.
It is based on OpenTURNS <http://www.openturns.org>_.
The scripts are tested with OT 1.13.
Requirements
The dependencies are:
- Python >= 3.3
- `OpenTURNS <http://www.openturns.org>`_ >= 1.13
- `Jupyter Notebook <https://jupyter.org>`_
- `otmorris <https://anaconda.org/conda-forge/otmorris>`_
InstallationUsing the latest python version is prefered! Then to install::
git clone https://github.com/mbaudin47/otusecases.git
cd otusecases