Metadata-Version: 2.1
Name: Autotsf
Version: 0.0.7
Summary: Automated Time-Series Forecasting
Home-page: https://github.com/kailingding/Autotsf
Author: Kailing Ding
Author-email: markdingkl@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas (==1.0.3)
Requires-Dist: numpy (==1.18.2)
Requires-Dist: scikit-learn (==0.22.2.post1)
Requires-Dist: hyperopt (==0.2.2)
Requires-Dist: keras (==2.3.0)

# AutoTSF

Automated time-series forecast pipeline with state-of-art machine learning and deep learning algorithm. 🚀🚀🚀

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install AutoTSF.

```bash
$ pip install autotsf
```

## Getting Started 

```python
from autotsf import AutoTSF               # Import

auto_tsf = AutoTSF()                      # Initialization
auto_tsf.train(data)                      # automated feature engineering and model training
pred_df = auto_tsf.predict(num_steps=7)   # one week forecast
```

## Authors

* **Kailing Ding** - [Github](https://github.com/kailingding)
* **Yuxuan Fan** - [Github](https://github.com/991231/)
* **Jerry Chan**
* **Shen Hu**
* **Jeffrey Chen**

See also the list of [contributors](https://github.com/kailingding/Autotsf/graphs/contributors) who participated in this project.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details


