data-validation
TensorFlow Data Validation (TFDV) is designed for scalable exploration and validation of machine learning data, integrating seamlessly with TensorFlow and TFX. It allows computation of data summary statistics, supports anomaly detection to highlight inconsistencies, and auto-generates data schemas. The integration with Facets enhances data comparison, and comprehensive resources are available for effective deployment in diverse machine learning workflows.
