TensorFlow Transform

TensorFlow Transform (TFT) is a library for preprocessing data with TensorFlow. It allows users to define a preprocessing function that is applied to raw data *before* training, and then export this function as a TensorFlow graph that can be used for *inference*. This ensures consistency between training and serving. It's often used in conjunction with Apache Beam for distributed processing and is a key component of TensorFlow Extended (TFX). The current version is 1.17.0, following TensorFlow's release cadence with frequent updates.