elenasamuylova
elenasamuylova
Metrics Group: Regression Performance Feature request: to add the ability to change the ranges for over, under, or majority in error bias per segment (like from 90% to 80%). Source:...
- Updated defaults for null-related tests - Deleted the "level" column for better width formatting - Added link to the example notebook with all tests and test presets
**Project details:** An open-source framework to evaluate, test and monitor ML models in production. - Project Name: evidently - Github URL: https://github.com/evidentlyai/evidently - Category: Model Interpretability or Others - License:...
**Description:** Add a new option that can be passed to any Evidently Report that would allow replacing “Current” and “Reference” display titles across the Report. For example, define it as...
**Description:** Sometimes users have array or vector-type columns that have a sequence of numbers, e.g. [1, 3, 4, 5, 6] Currently, we can only perform drift detection with such inputs...
**Description** An error occurs under the following conditions: - you specify `datetime_features` in column mapping - the datatime feature name starts with "prediction" - you run the Target Drift preset...
**Description:** Document how to use Evidently together with Hamilton, and implement Evidently Test Suites / Reports as part of the DAG. **Implementation** - Add a documentation page similar to this...
Reported on Discord - minor issue to look at. **Description:** When I open `snapshot.json` inside `snapshots/` on JupyterLab, it creates `.ipynb_checkpoints/` and it raises this error and freezes at loading...
In the [new Prefect + Evidently + Grafana example](https://github.com/evidentlyai/evidently/tree/main/examples/integrations/postgres_grafana_batch_monitoring) we have a visual Grafana dashboard that shows distribution drift. The dashboard title says "Drift score (p-value)", however, we use Wasserstein...
* Updates to the cloud tutorial