Skip to main content

Generate forecasts using several time series forecasting models in python.

Project description

About foresee

Provided a time series and a few parameters, foresee can generate forecasts using several time series forecasting models in python and if requested, it can find the best model and results using out of sample forecast accuracy.

Example

before installation

try it out at: https://easy-forecast.herokuapp.com/

after installation

basic example, one-column dataframe, no UI

basic example, multi-column dataframe, no UI

basic example, with UI

Documentation

read the docs

installation

pip install foresee

Contributing

Contributions in any form are welcome, including:

  • Documentation improvements
  • Additional tests
  • New features to existing models
  • New models

Discussions take place at foresee channel on slack

join us on slack

Bug Reports

Bug reports can be submitted to the issue tracker at

https://github.com/foresee/foresee/issues

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

foresee-0.1.0a9.tar.gz (58.0 kB view hashes)

Uploaded source

Built Distribution

foresee-0.1.0a9-py3-none-any.whl (70.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page