SIMUREX 2018, Workshop Material

Repository containing the LOCIE material for SIMUREX 2018.

An interactive binder session can be used (can be long to launch, and need a proper internet connection).

The following materials are available :

• Nicolas Cellier:

  • Interactive Data Exploration with Python
  • A brief Machine Learning introduction

• Simon Rouchier

  • Estimation of the heat transfer coefficient by linear regression
  • Calibration of a stochastic RC model and Kalman filter

• Jeanne Goffart

  • Methods for uncertainty and sensitivity analysis

• Antoine Caucheteux

  • Measurement uncertainty assessment for building energy simulation

This last one uses the R language that is shipped via the conda environment provided (the environment.yml file). Otherwise you can install the R language as well as an ide by yourself (see https://www.r-project.org/)

In order to obtain an up-to-date an working environment, download and install Anaconda for your platform, then, in command line (Anaconda -> Anaconda Prompt in the windows menu), run

conda env create -f environment.yml
source activate simurex

jupyter notebook
# or
spyder

in this directory root. This will install all the needed packages in a isolated environment named simurex, then launch a jupyter notebook or spyder.

You will be able to choose this environment when using spyder, vscode or pycharm if you prefer using these ide.

Otherwise, feel free to install manually the packages for each workshop as indicated in their README.