Time Skorch (TS) is a powerful tool designed to make time series analysis and forecasting a breeze.
Project description
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
Do Something
Getting Started
To start using Time Skorch (TS) for your deep learning-based time series projects, simply install it via pip:
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for timeskorch-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9086423b21bcf3fd8bec9b7d86a699110b8342d319ccd063456e7eec48fc46e7 |
|
MD5 | 04c109e22fde3a27b77670dbf0eeb736 |
|
BLAKE2b-256 | ab443022d6347706fe2ec5aa6f06fd33a7c03ad995bf285e5aadc2d36bd67b1d |