TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow. The metadata serialization formats include- - A schema describing tabular data (e.g., tf.Examples). - A collection of summary statistics over such datasets. - A problem statement quantifying the objectives of a model. The metadata may be produced by hand or automatically during input data analysis, and may be consumed for data validation, exploration, and transformation.