Build a eval_input_receiver_fn expecting fed tf.Examples.
tfma.export.build_parsing_eval_input_receiver_fn(
feature_spec,
label_key: Optional[Text]
) -> Callable[[], tfma.export.EvalInputReceiverType
]
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 to VarLenFeature /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.
|