tf.compat.v1.saved_model.predict_signature

Creates regression signature from given examples and predictions.

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Compat aliases for migration

tf.compat.v1.saved_model.signature_def_utils.regression_signature_def

tf.compat.v1.saved_model.regression_signature_def(
    examples, predictions
)

This function produces signatures intended for use with the TensorFlow Serving Regress API (tensorflow_serving/apis/prediction_service.proto), and so constrains the input and output types to those allowed by TensorFlow Serving.

Args
`examples`	A string `Tensor`, expected to accept serialized tf.Examples.
`predictions`	A float `Tensor`.

Returns
A regression-flavored signature_def.

Raises
`ValueError`	If examples is `None`.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.saved_model.predict_signature_def

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Args

Returns

Raises