---
# System prepended metadata

title: vesseltype_identification_dae
tags: [TSAR]

---

# vesseltype_identification_dae

###### tags: `TSAR`

On my laptop:

```
git clone https://gitlab.com/simula_ais_message/vesseltype_identification_dae
```

The source has been fetched at:

```
/Users/annef/Documents/T-SAR/AF/vesseltype_identification_dae/script/data_processing
```

## 1st step: preprocessing

See `/Users/annef/Documents/T-SAR/AF/vesseltype_identification_dae/script/data_processing`


```
srun conda run -n ais python -m src.data_processing -a -o 1.h5 -d 1 -m
````

-a --> compute distance to closest anchorage.

-m filter MMSI (not sure what that means...)

-d month to process.

```
python -m src.data_processing -o 1.h5 -d 1 -m -a
```

Then for all months:

```
for f in {1..12}; do python -m src.data_processing  -o $f.h5 -d $f -m -a; done
```

## 2nd step: create training, test and validation datasets

This step creates datasets for "train, validation and test".

```
python datasets_creation.py -m 1 -M 1
```

-m start month
-M end month


The result of this step is the creation of 3 datasets for training, validation and testing.

