Creates an input_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. This input_fn is
for use at serving time, so the labels return value is always None.
Args
feature_spec
a dict of string to VarLenFeature/FixedLenFeature.
default_batch_size
the number of query examples expected per batch.
Leave unset for variable batch size (recommended).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]