DataRobot Model Metrics¶
The datarobot-model-metrics (DMM) library provides the tools necessary to compute model metrics over time and produce aggregated metrics. It provides a framework to perform the following operations:
| Topic | Description |
|---|---|
| Configure an environment for DMM | Configure an environment to develop custom metrics with the DataRobot Model Metrics library. |
| Configure data sources | Connect to DataRobot to fetch selected data from the DataRobot platform. |
| Define custom metrics | Define custom metrics using the provided default classes. |
| Calculate metric values | Calculate custom metric values over time, by batch, or without data aggregation. |
| Use the DR Custom Metrics module | Facilitate synchronization with existing metrics in DataRobot. |
| Notebook: Create a hosted custom metric from a template with code | Follow a tutorial to create a hosted custom metric using the Python SDK. |
Installation¶
The DMM library is published to PyPI. To install it, run the following command:
pip install datarobot-model-metrics
Updated March 19, 2025
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