
# Number of vocabulary terms used for encoding VOCAB_FEATURES by tf.transform
#Alpha had ~17000, this example is smaller so we're using less
VOCAB_SIZE = 190000

# Count of out-of-vocab buckets in which unrecognized VOCAB_FEATURES are hashed.
OOV_SIZE = 10

VOCAB_FEATURE_KEYS = [
    'sentence',
]

# Keys
LABEL_KEY = 'label'

def transformed_name(key):
  return key + '_xf'
