README.md

---
title: TabTreeFormer
emoji: "🖥️"
colorFrom: "blue"
colorTo: "green"
sdk: static
sdk_version: "0.0.1"
pinned: false
---

# TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer

## Pre-requisites

- `Python>=3.9` installed.
- `pip install -r requirements.txt`.

## Usage

To train,

```shell
python main.py train -d DATA_PATH -t TARGET_COLUMN -p TASK_TYPE -o OUT_DIR
```

After training, to generate,

```shell
python main.py sample -c OUT_DIR -n N_ROWS -o OUT_CSV_PATH
```

For instance, to train and sample iris dataset (one can get the dataset by `sklearn.datasets.load_iris`),
one can run the following:

```shell
python main.py train -d iris.csv -t target -p mult -o out
python main.py sample -c out -n 150 -o synthetic-iris.csv
```
>>>>>>> b0d7cdb (first commit)