https://github.com/dataiku/dss-plugin-timeseries-forecast-legacy

Dataiku DSS plugin to forecast univariate time series from year to hour frequency with R models. This plugin is considered as "legacy" and will be maintained only to fix bugs.
https://github.com/dataiku/dss-plugin-timeseries-forecast-legacy

dataiku dss-plugin forecast forecasting r time-series

Last synced: 6 days ago
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Dataiku DSS plugin to forecast univariate time series from year to hour frequency with R models. This plugin is considered as "legacy" and will be maintained only to fix bugs.

• Host: GitHub
• URL: https://github.com/dataiku/dss-plugin-timeseries-forecast-legacy
• Owner: dataiku
• License: other
• Created: 2019-10-03T14:56:37.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-10-05T13:40:02.000Z (over 3 years ago)
• Last Synced: 2024-07-10T11:58:20.330Z (almost 2 years ago)
• Topics: dataiku, dss-plugin, forecast, forecasting, r, time-series
• Language: R
• Homepage: https://www.dataiku.com/product/plugins/time-series-forecast-legacy/
• Size: 587 KB
• Stars: 2
• Watchers: 21
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
# Time Series Forecast Plugin (legacy)

![GitHub release (latest by date)](https://img.shields.io/github/v/release/dataiku/dss-plugin-timeseries-forecast-legacy) ![Build status](https://img.shields.io/badge/build-passing-brightgreen) ![Support level](https://img.shields.io/badge/support-Unsupported-orange)

This Dataiku DSS plugin provides recipes to forecast univariate time series from year to hour frequency with R models.

⚠️ Starting with DSS version 11 we recommend using the native [time series forecasting](https://doc.dataiku.com/dss/latest/machine-learning/time-series-forecasting/index.html) features.

Documentation: https://www.dataiku.com/product/plugins/time-series-forecast-legacy/

## License

The Forecast plugin is:

Copyright (c) 2021 Dataiku SAS

Licensed under the [MIT License](LICENSE.md).