tf.estimator.experimental.build_raw_supervised_input_receiver_fn

Build a supervised_input_receiver_fn for raw features and labels.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.estimator.experimental.build_raw_supervised_input_receiver_fn

tf.estimator.experimental.build_raw_supervised_input_receiver_fn(
    features, labels, default_batch_size=None
)

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 to Tensor or Tensor.
labels	a dict of string to Tensor or Tensor.
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.