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 |
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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:
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Time series reference | Learn to customize time series projects and view a variety of deep-dive reference material for DataRobot time series modeling, as well as ime series considerations |
Updated September 3, 2024
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