/*
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License").
* You may not use this file except in compliance with the License.
* A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed
* on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
* express or implied. See the License for the specific language governing
* permissions and limitations under the License.
*/
/*
* Do not modify this file. This file is generated from the sagemaker-2017-07-24.normal.json service model.
*/
using System;
using System.Collections.Generic;
using System.Xml.Serialization;
using System.Text;
using System.IO;
using System.Net;
using Amazon.Runtime;
using Amazon.Runtime.Internal;
namespace Amazon.SageMaker.Model
{
///
/// Provides information about the location that is configured for storing model artifacts.
///
///
///
///
/// Model artifacts are the output that results from training a model, and typically consist
/// of trained parameters, a model definition that describes how to compute inferences,
/// and other metadata.
///
///
public partial class ModelArtifacts
{
private string _s3ModelArtifacts;
///
/// Gets and sets the property S3ModelArtifacts.
///
/// The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz
.
///
///
[AWSProperty(Required=true, Max=1024)]
public string S3ModelArtifacts
{
get { return this._s3ModelArtifacts; }
set { this._s3ModelArtifacts = value; }
}
// Check to see if S3ModelArtifacts property is set
internal bool IsSetS3ModelArtifacts()
{
return this._s3ModelArtifacts != null;
}
}
}