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A library for data preprocessing with TensorFlow

Project description

TensorFlow Transform is a library for preprocessing data with TensorFlow. tf.Transform is useful for data that requires a full-pass, such as:

  • Normalize an input value by mean and standard deviation.
  • Convert strings to integers by generating a vocabulary over all input values.
  • Convert floats to integers by assigning them to buckets based on the observed data distribution.

TensorFlow has built-in support for manipulations on a single example or a batch of examples. tf.Transform extends these capabilities to support full-passes over the example data.

https://github.com/tensorflow/transform/blob/master/README.md

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