Skip to main content

Automated Time-Series Forecasting

Project description

AutoTSF

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

Installation

Use the package manager pip to install AutoTSF.

$ pip install autotsf

Getting Started

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
  • Yuxuan Fan - Github
  • Jerry Chan
  • Shen Hu
  • Jeffrey Chen

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Autotsf-0.0.5.tar.gz (12.4 kB view hashes)

Uploaded Source

Built Distribution

Autotsf-0.0.5-py3-none-any.whl (19.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page