tf.estimator.export.EvalOutput

Represents the output of a supervised eval process.

Inherits From: ExportOutput

Compat aliases for migration

`tf.compat.v1.estimator.export.EvalOutput`

tf.estimator.export.EvalOutput(
    loss=None, predictions=None, metrics=None
)

This class generates the appropriate signature def for exporting eval output by type-checking and wrapping loss, predictions, and metrics values.

Args
`loss`	dict of Tensors or single Tensor representing calculated loss.
`predictions`	dict of Tensors or single Tensor representing model predictions.
`metrics`	Dict of metric results keyed by name. The values of the dict can be one of the following: (1) instance of `Metric` class. (2) (metric_value, update_op) tuples, or a single tuple. metric_value must be a Tensor, and update_op must be a Tensor or Op.

Raises
`ValueError`	if any of the outputs' dict keys are not strings or tuples of strings or the values are not Tensors (or Operations in the case of update_op).

Attributes

loss

metrics

predictions

as_signature_def(
    receiver_tensors
)

Generate a SignatureDef proto for inclusion in a MetaGraphDef.

The SignatureDef will specify outputs as described in this ExportOutput, and will use the provided receiver_tensors as inputs.

Args
`receiver_tensors`	a `Tensor`, or a dict of string to `Tensor`, specifying input nodes that will be fed.