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machine-learning
AMBS
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c4410d35
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c4410d35
authored
4 years ago
by
Michael Langguth
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Minor correction to README.md
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c4410d35
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@@ -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> <e
nv_name>
source
create_env.sh <
env
_name>
[
<e
xp_id>]
```
### Run workflow the workflow
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