TensorFlow Metadata

TensorFlow Metadata (TFMD) provides standard representations for metadata that are useful when training machine learning models with TensorFlow. This includes formats for describing tabular data schemas (e.g., `tf.Examples`), collections of summary statistics over datasets, and problem statements. It is a foundational library used by other TensorFlow Extended (TFX) components like TensorFlow Data Validation (TFDV) and ML Metadata (MLMD). The library is actively maintained, with version 1.17.3 being the current release.