ML Testing Patterns

What problem does it solve?

This Skill provides robust testing strategies to ensure the quality, reliability, and performance of machine learning models throughout their lifecycle.

Core Features & Use Cases

• Data Quality Testing: Validate schema, distributions, and null rates of datasets.
• Model Behavioral Testing: Verify minimum functionality, invariance, and directional expectations.
• Performance Regression Gates: Prevent CI/CD failures due to model performance degradation.
• Use Case: Automatically run data quality checks and model behavioral tests before merging new model code to catch regressions early.

Quick Start

Run the ML testing patterns skill to execute data quality and model behavioral tests on your validation dataset.