Metadata-Version: 2.1
Name: timeskorch
Version: 0.0.1
Summary: Time Skorch (TS) is a powerful tool designed to make time series analysis and forecasting a breeze.
Home-page: https://github.com/minqukanq/timeskorch
Author: mingukang
Author-email: kang.mingu94@gmail.com
Keywords: time series,sklearn,pytorch,skorch,deep learning
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# Time Skorch (TS) - Deep Learning for Time Series


Time Skorch (TS) is a powerful tool designed to make time series analysis and forecasting a breeze. Leveraging the capabilities of the popular scikit-learn library and seamlessly integrating with scikit-learn's API, TS provides a simple yet robust solution for working with time series data.
TS provides a simple yet robust solution for working with time series data while leveraging the power of deep learning.

## What is Time Skorch (TS)?
Time series data, with its temporal dependencies, is pervasive in various domains such as finance, healthcare, and environmental sciences. TS is your all-in-one solution for tackling time series challenges. With TS, you can:
* Forecasting
* ~~Classification~~ (future work)
* ~~Imputation~~ (future work)

## Quick Tour
```python
 Do Something
```

## Getting Started
To start using Time Skorch (TS) for your deep learning-based time series projects, simply install it via pip:
```bash
pip install timeskorch
```

## Contributing
We welcome contributions from the community to enhance and expand the capabilities of Time Skorch. Feel free to open issues, submit pull requests, or engage in discussions on our GitHub repository.

## Contact
Feel free to contact Mingu Kang (kang.mingu94@gmail.com) if you have any further questions.
