## How to use

### 1. unzip the dataset

We have placed the Gisette dataset on the dir: `./data/gisette.7z`

unzip this archive.

### 2. Training & selection

`cd` to the dictionary `./src`, and running the command as follows to train the MetaFS model:

```bash
python train3.py --config={config_path}
```

For example, if we train for the `Gisette` dataset, we can use:

```bash
python train3.py --config=../config/gisette.yaml
```

if we want to load a pre-trained model, we can use `--dir` argument:

```bash
python train3.py --dir=../result/gisette/em256_6432_train_manual
```

### 3. Test the Selection

```bash
python test_new.py --dir=../result/gisette/em256_6432_train_manual
```

