Data preparation¶
DataRobot’s data preparation offerings give you the ability to analyze, ingest, and transform your data for modeling and inference workflows. The Python client classes in this section support creating connections to external data sources, ingesting and managing static and dynamic data assets in the Data Registry, and applying data transformations in preparation for modeling.
| Topic | Description |
|---|---|
| Data connectivity | Configure data connections and retrieve connection metadata with the Python client. |
| Data registry | Upload, version, and manage datasets in the Data Registry. |
| Data management | Inspect feature types, create feature lists, and configure feature engineering settings. |
| Data wrangling | Build and execute data wrangling recipes programmatically. |
| File registry | Upload, download, and manage files in the DataRobot file registry. |