README data

Machine learning Project 2 Option A – CS-433 – EPFL<br> Fall 2018<br> *Authors:* Gianluca Mancini, Tullio Nutta and Tianchu Zhang<br> *Laboratory:* LESO-PB – Solar Energy and Building Physics Laboratory<br> *Supervisors:* Roberto Castello and Dasaraden Mauree

Download instructions

• All the required data to run the algorithms can be found at this link (download only). REMARK: The files downloaded from the link will be compressed into a `.zip or .tar.gz. Before placing them in the correct place, don’t forget to unzip the archive downloaded (so .._Mesures_MoTUS.zip need all to be separate in /data/zip_files as the .csv`’s divided in the described locations.
• `regression_mat_year (~200MB) should be placed in /data`. This in the only file required to run regression algorithms, all the rest is raw and intermediate processed files.
• All the `.zip (~50GB) folders shoud be downloaded in /data/zip_files`.
• The others `.csv (~90MB) (anem1 to anem7, radiometer and surf_temp should be downloaded in /data/average_data` (intermediate pipeline results).

The scripts provided in `/scripts_data_extractor can construct the final matrix from the zip files. However, also intermediate results are provided (/data/average_data). If intermediate pipeline script is chosen to run be sure that the target directory is empty. Additional useful information about the scripts can be found at the / scripts_data_extractor ` folder [README.md](./ scripts_data_extractor /README.md).

*IMPORTANT: All the scripts are set to run with the current folder tree architecture. Any changes in the structure should be incorporated into the scripts in their respective paths definition.*