Event Detection
Detect, validate, and optimize real-time event recognition with full temporal precision
Prism’s Event Detection tests help you spot missed, delayed, or false event triggers, analyze time-based drift, and benchmark detection accuracy for live systems.
Key Capabilities
Catch Temporal Errors
Detect missed, delayed, or false event triggers across time sequences.
Identify Temporal Drift
Analyze temporal drift and identify clusters where detection fails.
Ensure Version Consistency
Compare model versions to ensure consistent performance in live scenarios.
Tests
An overview of all tests
A/B Test
A/B testing examines differences in a machine learning pipeline to determine their influence on performance, which informs model development and deployment decisions.
This automated test helps assess the performance of the pipelines in production and choose the one that is best suited for deployment.
Failure Mode Analysis
Identify scenarios where the model performs poorly on the test dataset post training/re-training.
This test helps users identify 90% of the vulnerabilities within a models Operational Design Domain (ODD) early in the model development lifecycle.
