# Advanced options

> Advanced options - Set advanced parameters before building models to set non-default characteristics
> of the model build.

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 `2026-04-24T16:03:56.597222+00:00` (UTC).

## Primary page

- [Advanced options](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/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.
- [Build models](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/index.html): Linked from this page.
- [Additional](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/additional.html): Linked from this page.
- [Bias and Fairness](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/fairness-metrics.html): Linked from this page.
- [Clustering](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/time-series-cluster-adv-opt.html): Linked from this page.
- [External model prediction insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/external-preds.html): Linked from this page.
- [Feature Constraints](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/feature-con.html): Linked from this page.
- [Partitioning](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/partitioning.html): Linked from this page.
- [OTV](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/otv.html#advanced-options): Linked from this page.
- [time series](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-adv-modeling/ts-date-time.html): Linked from this page.
- [Smart Downsampling](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/smart-ds.html): Linked from this page.
- [Time Series](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/ts-reference/ts-adv-opt.html): Linked from this page.
- [Train-time image augmentation](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/ttia.html): Linked from this page.
- [GPUs](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/gpus.html): Linked from this page.

## Documentation content

# Advanced options

After importing data and selecting a target variable, the Data page appears. From this page you can click the Show advanced options link to access advanced modeling parameters.

These parameters are summarized in the following sections:

| Option | Description |
| --- | --- |
| Additional | Set additional parameters and modify values that can effect model builds. |
| Bias and Fairness | Set conditions that help calculate fairness, as well as identify and attempt to mitigate bias in a model's predictive behavior. |
| Clustering | Set the number of clusters that DataRobot discovers in a time series clustering project. |
| External model prediction insights | Bring external model(s) into the DataRobot AutoML environment, view them on the Leaderboard, and run a subset of DataRobot's evaluative insights for comparison against DataRobot models. |
| Feature Constraints | Set monotonic constraints to control the influence between variables and target. |
| Partitioning | Set how data is partitioned for training/validation/holdout and the validation type. |
| Partitioning: Date/time | Set how data is partitioned for OTV or time series projects. |
| Smart Downsampling | Downsample the majority class for faster model build time. |
| Time Series | Set a variety or time series-specific advanced options. |
| Train-time image augmentation | Create new training images to increase the amount of training data. |
| GPUs | Enable GPU support to improve runtime for deep learning models. |
