**Comp_511_7** :
- Type :  Python lib
- Tested usecase : Air_Liquide_EMS_data_Quality, UC_Naval_Group,
- Nexus name : tdaad
- Status : OK
- storage compatibility : NFS
- source code : https://git.irt-systemx.fr/confianceai/ec_5/ec5_as3/tdaad/-/tags/v1.3.0

# Installation

- Create your virtual env
```
conda create --prefix /home/jovyan/env-tdaad  python=3.10
conda activate /home/jovyan/env-tdaad
```
- Add it to jupyterlab

```python -m ipykernel install --user --name=env-tdaad```

- Install tdaad ``` pip install tdaad==1.3.0 ``` (your pip tool shall be configured to work with nexus confiance)

# UC Air liquide

- Go into airliquide folder
- Launch ems_airliquide_demonstrator.ipynb

# UC Naval group

- Go into navalgroup folder
- ```pip install -r requirements.txt```
- Prepare data :```python navalgroup_preprocess.py ```(may take few minutes)

- Launch notebooks 
    - navalgroup_demonstrator.ipynb
    - tentative_new_navalgroup_demonstrator-yearly.ipynb
 
# UC SMD

- Go into SMD_Dataset subfolder
- Launch data preparation ``` python create_dataset.py```
- Launch notebook test_SMD.ipynb