Documentation Index
Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
What’s New
November 7, 2022Dashboards: Duplicate Widgets
Duplicate and edit any existing dashboard widget to easily adjust, create, or customize your dashboard. Click the left-most button on any widget to duplicate.
Drift: Numeric Distributions Zoom
Select any bin within a numeric distribution chart to zoom in for additional granularity when troubleshooting drift. Zoom into drift when the majority of your data is skewed into a few bins. This is available in the model overview drift tab, dimension details drift tab, and drift monitors page.
Enhancements
November 28, 2022Monitors: Evaluation Window Configurations
Bulk edit managed monitor evaluation windows for performance, drift, and data quality monitors. Navigate to the Config tab within any model to edit your evaluation window.
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.
GraphQL API Update
ThevalidationResult 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
November 7, 2022Eight Takeaways From Our Event With Women of AI
Arize AI recently hosted an event with the Canada chapter of Women of AI, a global nonprofit dedicated to increasing female representation and participation in the world of AI/ML. Miss the event? Here are top takeaways along with the recording to watch on-demand.
Five Unexpected Ways To Use ML Observability
There is much more to ML observability than setting up monitors and troubleshooting model performance. This piece details underutilized ways you can leverage ML observability to make your production workflow more efficient.
What Is Log Loss?
Ever want a quick and intuitive explanation of log loss for a colleague? Learn where to use log loss and its benefits and limitations as a model metric.
How To Monitor Ranking Models
A primer on relevant model metrics and best practices for tackling model performance degradation.
Shipping Your Image Classification Model With Confidence
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.
Introducing Xander Song, Arize’s New Developer Advocate
Nine questions with Arize’s new Developer Advocate.
What is Recall?
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.