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A return type for an input_fn (deprecated).
tf.contrib.learn.InputFnOps(
features, labels, default_inputs
)
THIS CLASS IS DEPRECATED. Please use tf.estimator.export.ServingInputReceiver instead.
This return type is currently only supported for serving input_fn.
Training and eval input_fn should return a (features, labels) tuple.
The expected return values are:
features: A dict of string to Tensor or SparseTensor, specifying the
features to be passed to the model.
labels: A Tensor, SparseTensor, or a dict of string to Tensor or
SparseTensor, specifying labels for training or eval. For serving, set
labels to None.
default_inputs: a dict of string to Tensor or SparseTensor, specifying
the input placeholders (if any) that this input_fn expects to be fed.
Typically, this is used by a serving input_fn, which expects to be fed
serialized tf.Example protos.
Attributes | |
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features
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labels
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default_inputs
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