tf.estimator.export.EvalOutput

Represents the output of a supervised eval process.

Inherits From: ExportOutput

View aliases

Compat aliases for migration

See Migration guide for more details.

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

Methods

as_signature_def

View source

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.

Class Variables
LOSS_NAME	'loss'
METRICS_NAME	'metrics'
METRIC_UPDATE_SUFFIX	'update_op'
METRIC_VALUE_SUFFIX	'value'
PREDICTIONS_NAME	'predictions'