Shypd.aiThe largest open index of AI toolsTensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It provides scalable calculation of summary statistics, automated data-schema generation, and anomaly detection.
Trending
Also listed in
About
TensorFlow Data Validation (TFDV) is a powerful open-source library designed for exploring and validating machine learning data. It offers highly scalable capabilities for calculating summary statistics of training and test data, integrating seamlessly with a viewer for data distributions and statistics. TFDV automates data-schema generation to define expectations about data, including required values, ranges, and vocabularies, and provides a schema viewer for inspection. A key feature is its anomaly detection system, which identifies issues like missing features, out-of-range values, or incorrect feature types, complemented by an anomalies viewer to help users correct these issues. TFDV is built to work effectively with TensorFlow and TensorFlow Extended (TFX), making it an essential tool for maintaining data quality in ML pipelines.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
