ClassificationOutput
Inherits From: ExportOutput
Defined in tensorflow/python/estimator/export/export_output.py
.
Represents the output of a classification head.
Either classes or scores or both must be set.
The classes Tensor
must provide string labels, not integer class IDs.
If only classes is set, it is interpreted as providing top-k results in descending order.
If only scores is set, it is interpreted as providing a score for every class in order of class ID.
If both classes and scores are set, they are interpreted as zipped, so each score corresponds to the class at the same index. Clients should not depend on the order of the entries.
classes
scores
__init__
__init__( scores=None, classes=None )
Constructor for ClassificationOutput
.
scores
: A float Tensor
giving scores (sometimes but not always interpretable as probabilities) for each class. May be None
, but only if classes
is set. Interpretation varies-- see class doc.classes
: A string Tensor
giving predicted class labels. May be None
, but only if scores
is set. Interpretation varies-- see class doc.ValueError
: if neither classes nor scores is set, or one of them is not a Tensor
with the correct dtype.as_signature_def
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.
receiver_tensors
: a Tensor
, or a dict of string to Tensor
, specifying input nodes that will be fed.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/estimator/export/ClassificationOutput