tensorflow::serving::RegressorInterface Class Reference

#include <regressor.h>

Public Member Functions
virtual Status	Regress (const RegressionRequest &request, RegressionResult *result)=0

Detailed Description

Model agnostic interface for performing regression.

Specific implementations will exist for different model types (e.g. TensorFlow SavedModel) that can convert the request into a model specific input and know how to convert the output into a generic RegressionResult.

Definition at line 32 of file regressor.h.

Member Function Documentation

Regress()

virtual Status tensorflow::serving::RegressorInterface::Regress ( const RegressionRequest &  request, RegressionResult *  result  )

pure virtual

Given a RegressionRequest, populates the RegressionResult with the result.

Parameters

request	Input request specifying the model/signature to query along with the data payload.
result	The output regression results that will get populated.

Returns

A status object indicating success or failure.

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The documentation for this class was generated from the following file:

• tensorflow_serving/apis/regressor.h