diff --git a/README.md b/README.md index 5edd7fe14ef98d3e302a33090502ce0bd904b34e..9b17f2010590202c6a7e2b1805e0ccdbddf81506 100644 --- a/README.md +++ b/README.md @@ -23,14 +23,14 @@ The following commands will setup a user-specific virtual environment either on Juwels, HDF-ML (HPC clusters) or on zam347 for you. The script `create_env.sh` automatically detects on which machine it is executed and loads/installs all required Python (binary) modules and packages. -The virtual environment is set up under the subfolder `video_prediction_savp/<dir_name>`. +The virtual environment is set up under the subfolder `video_prediction_savp/<env_name>`. Besides, user-specific runscripts for each step of the workflow may be created, e.g. `train_era5_exp1.sh` where `exp1` denotes the default experiment identifier. The name of this identifier can be controlled by the optional second argument `<exp_id>`. ```bash cd video_prediction_savp/env_setup -source create_env.sh <dir_name> <env_name> +source create_env.sh <env_name> [<exp_id>] ``` ### Run workflow the workflow