Aliases:
tf.contrib.estimator.build_raw_supervised_input_receiver_fn
tf.estimator.experimental.build_raw_supervised_input_receiver_fn
tf.estimator.experimental.build_raw_supervised_input_receiver_fn(
features,
labels,
default_batch_size=None
)
Build a supervised_input_receiver_fn for raw features and labels.
This function wraps tensor placeholders in a supervised_receiver_fn with the expectation that the features and labels appear precisely as the model_fn expects them. Features and labels can therefore be dicts of tensors, or raw tensors.
Args:
features
: a dict of string toTensor
orTensor
.labels
: a dict of string toTensor
orTensor
.default_batch_size
: the number of query examples expected per batch. Leave unset for variable batch size (recommended).
Returns:
A supervised_input_receiver_fn.
Raises:
ValueError
: if features and labels have overlapping keys.