Task 4 Machine learning: input_data: data we take from the available zip file that we have to treat results: results from the different runs input_params: directory where we store the json dictionaries for the main program logs: log directory archives: archive directory for tensorboard ######When opening the euler cluster######## module load python module load python/3.7.1 before running "bsub make all_run" or "make submit" (equivalent) ALWAYS do make all_run locally to ensure absence of bug ######ERRORS##### if it complains because not enough memory==> drop rbf always check with make all_run in live that it compiles! ########Euler commands###### bsub -W 10:32 make all_run allows to submit a job which will take approx 10:32, executing the command "make all_run". WATCH OUT FOR THE CURRENT DIRECTORY! bjobs ==> list the jobs bkill +JobID (the job id is given by bjobs) bbjobs (more readable bjobs)