# Time-series modeling

> Time-series modeling - This topic introduces components of time-aware modeling, a recommended
> practice for data science problems where conditions may change over time.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.611357+00:00` (UTC).

## Primary page

- [Time-series modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [What is time-based modeling?](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/whatis-time.html): Linked from this page.
- [Time series workflow overview](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-flow-overview.html): Linked from this page.
- [Time series insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-leaderboard.html): Linked from this page.
- [Time series predictions](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-predictions.html): Linked from this page.
- [Time series portable predictions with prediction intervals](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-port-pred-intervals.html): Linked from this page.
- [Multiseries modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/multiseries.html): Linked from this page.
- [Creating clusters](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-clustering.html): Linked from this page.
- [Segmented modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-segmented.html): Linked from this page.
- [Nowcasting](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/nowcasting.html): Linked from this page.
- [Enable external prediction comparison](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/cyob.html): Linked from this page.
- [Batch predictions for TTS and LSTM models](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-tts-lstm-batch-pred.html): Linked from this page.
- [Advanced time series modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-adv-modeling/index.html): Linked from this page.
- [Time series modeling data](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-modeling-data/index.html): Linked from this page.

## Documentation content

# Time-series modeling

Time-series modeling is a recommended practice for data science problems where conditions may change over time. With this method, the validation set is made up of observations from a time window outside of (and more recent than) the time window used for model training. Time-aware modeling can make predictions on a single row, or, with its core time series functionality, can extract patterns from recent history and forecast multiple events into the future.

| Topic | Description |
| --- | --- |
| What is time-based modeling? | Learn about the basic modeling process and a recommended reading path. |
| Time series workflow overview | View the workflow for creating a time series project. |
| Time series insights | Explore visualizations available to help interpret your data and models. |
| Time series predictions | Make predictions with time series models. |
| Time series portable predictions with prediction intervals | Export time series models with prediction intervals in model package (.mlpkg) format. |
| Multiseries modeling | Model with datasets that contain multiple time series. |
| Creating clusters | Allow DataRobot to identify natural segments (similar series) for further exploring your data. |
| Segmented modeling | Group series into user-defined segments, creating multiple projects for each segment, and producing a single Combined Model for the data. |
| Nowcasting | Make predictions for the present and very near future (very short-range forecasting). |
| Enable external prediction comparison | Compare model predictions built outside of DataRobot against DataRobot predictions. |
| Batch predictions for TTS and LSTM models | Make batch predictions for Traditional Time Series (TTS) and Long Short-Term Memory (LSTM) models. |
| Advanced time series modeling | Modify partitions, set advanced options, and understand window settings. |
| Time series modeling data | Work with the time series modeling dataset:Creating the modeling datasetUsing the data prep toolRestoring pruned features |