New Releases, Enhancements, Changes + Arize in the News!


Drift Monitors: Integer Binning

A more intuitive understanding of model drift with enhanced bin ranges for data sent in as integers. This is enabled automatically for integer data type columns.

The validationResult object returned from createFileImportJob when the dryRun parameter is set to true has been changed to return an error type which includes the error code, the error message, and the error row. Additionally, the errorFilePath field has been renamed to filePath.

In The News

A primer on relevant model metrics and best practices for tackling model performance degradation.

Dive into a code-along blog for image classification models! Learn how to develop an image classification model, prepare and ingest embedding data, and analyze embedding drift in this action-packed piece that mirrors the Colab.

Nine questions with Arize’s new Developer Advocate.

Check out the latest in our series on model performance metrics! This practical primer explains where recall is most useful and the intuition behind the metrics.

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