/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include Describes the real-time endpoint information for an
* MLModel
.See Also:
AWS
* API Reference
The maximum processing rate for the real-time endpoint for
* MLModel
, measured in incoming requests per second.
The maximum processing rate for the real-time endpoint for
* MLModel
, measured in incoming requests per second.
The maximum processing rate for the real-time endpoint for
* MLModel
, measured in incoming requests per second.
The maximum processing rate for the real-time endpoint for
* MLModel
, measured in incoming requests per second.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The time that the request to create the real-time endpoint for the
* MLModel
was received. The time is expressed in epoch time.
The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline const Aws::String& GetEndpointUrl() const{ return m_endpointUrl; } /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline bool EndpointUrlHasBeenSet() const { return m_endpointUrlHasBeenSet; } /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline void SetEndpointUrl(const Aws::String& value) { m_endpointUrlHasBeenSet = true; m_endpointUrl = value; } /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline void SetEndpointUrl(Aws::String&& value) { m_endpointUrlHasBeenSet = true; m_endpointUrl = std::move(value); } /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline void SetEndpointUrl(const char* value) { m_endpointUrlHasBeenSet = true; m_endpointUrl.assign(value); } /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline RealtimeEndpointInfo& WithEndpointUrl(const Aws::String& value) { SetEndpointUrl(value); return *this;} /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline RealtimeEndpointInfo& WithEndpointUrl(Aws::String&& value) { SetEndpointUrl(std::move(value)); return *this;} /** *The URI that specifies where to send real-time prediction requests for the
* MLModel
.
Note: The application must wait until the * real-time endpoint is ready before using this URI.
*/ inline RealtimeEndpointInfo& WithEndpointUrl(const char* value) { SetEndpointUrl(value); return *this;} /** * The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.
The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.
The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.
The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.
The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.
The current status of the real-time endpoint for the MLModel
.
* This element can have one of the following values:
* NONE
- Endpoint does not exist or was previously deleted.
READY
- Endpoint is ready to be used for real-time
* predictions.
UPDATING
- Updating/creating the
* endpoint.