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6. Run ```./NerlnetRun.sh``` to start Nerlnet. | ||
7. Use API-Server to load generated jsons (step 4) and execute Nerlnet experiment. | ||
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## Python API and Jupyter (For UI Server): | ||
## Python API and Jupyter-lab (For Api-Server): | ||
Minimum Python version: 3.8 | ||
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1. Create and activate a virtual environment for Nerlnet: (https://docs.python.org/3/library/venv.html) | ||
```python -m venv VENV_PATH/VENV_NAME ``` | ||
```source VENV/bin/activate``` | ||
2. Install required modules while in venv ```pip install -r src_py/requirements.txt``` | ||
3. Call Jupyter environment creator script with an experiment directory ```./NerlnetJupyterEnvGenerator.sh --j <experiment_direcotry>``` | ||
4. Run Jupyter notebook with ```jupyter-notebook``` and create a new notebook in the created dir from step 3. | ||
5. Follow the example: https://github.com/leondavi/NErlNet/blob/master/examples/example_run.ipynb | ||
1. Install required modules while in venv ```pip install -r src_py/requirements.txt``` | ||
2. Open a jupyter lab environment using ```./NerlnetJupyterLaunch.sh -d <experiment_direcotry>``` | ||
2.2 Use -h to see the help menu of NerlnetJupyterLaunch.sh script | ||
3. Read the instructions of importing Api-Server within the generated readme.md file inside <experiment_directory> folder. | ||
4. Follow the example: https://github.com/leondavi/NErlNet/blob/master/examples/example_run.ipynb | ||
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Contact Email: [email protected] | ||
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