Many ML practitioners and researchers rely on metrics that may not yet have a TensorFlow implementation. Keras users can still leverage the wide variety of existing metric implementations in other frameworks by using a Keras callback. These metrics can be exported, viewed and analyzed in the TensorBoard like any other metric.