feature spec

Describes the information required to extract features data from the tf.Example protocol buffer. Because the tf.Example protocol buffer is just a container for data, you must specify the following: - The data to extract (that is, the keys for the features) - The data type (for example, float or int) - The length (fixed or variable)

Practitioners refer to feature spec when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.