Metadata-Version: 2.1
Name: Autotsf
Version: 0.0.5
Summary: Automated Time-Series Forecasting
Home-page: https://github.com/kailingding/Autotsf
Author: Kailing Ding
Author-email: markdingkl@gmail.com
License: MIT
Description: # 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
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
