tfma.export.build_parsing_eval_input_receiver_fn(
feature_spec,
label_key
)
Build a eval_input_receiver_fn expecting fed tf.Examples.
Creates a eval_input_receiver_fn that expects a serialized tf.Example fed into a string placeholder. The function parses the tf.Example according to the provided feature_spec, and returns all parsed Tensors as features.
Args:
feature_spec
: A dict of string toVarLenFeature
/FixedLenFeature
.label_key
: The key for the label column in the feature_spec. Note that the label must be part of the feature_spec. If None, does not pass a label to the EvalInputReceiver (note that label_key must be None and not simply the empty string for this case).
Returns:
A eval_input_receiver_fn suitable for use with TensorFlow model analysis.