/*
* 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 rekognition-2016-06-27.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.Rekognition.Model
{
///
/// Container for the parameters to the CreateProjectVersion operation.
/// Creates a new version of a model and begins training. Models are managed as part of
/// an Amazon Rekognition Custom Labels project. The response from CreateProjectVersion
/// is an Amazon Resource Name (ARN) for the version of the model.
///
///
///
/// Training uses the training and test datasets associated with the project. For more
/// information, see Creating training and test dataset in the Amazon Rekognition Custom
/// Labels Developer Guide.
///
///
///
/// You can train a model in a project that doesn't have associated datasets by specifying
/// manifest files in the TrainingData
and TestingData
fields.
///
///
///
///
/// If you open the console after training a model with manifest files, Amazon Rekognition
/// Custom Labels creates the datasets for you using the most recent manifest files. You
/// can no longer train a model version for the project by specifying manifest files.
///
///
///
///
/// Instead of training with a project without associated datasets, we recommend that
/// you use the manifest files to create training and test datasets for the project.
///
///
///
/// Training takes a while to complete. You can get the current status by calling DescribeProjectVersions.
/// Training completed successfully if the value of the Status
field is TRAINING_COMPLETED
.
///
///
///
/// If training fails, see Debugging a failed model training in the Amazon Rekognition
/// Custom Labels developer guide.
///
///
///
/// Once training has successfully completed, call DescribeProjectVersions to get
/// the training results and evaluate the model. For more information, see Improving a
/// trained Amazon Rekognition Custom Labels model in the Amazon Rekognition Custom
/// Labels developers guide.
///
///
///
/// After evaluating the model, you start the model by calling StartProjectVersion.
///
///
///
/// This operation requires permissions to perform the rekognition:CreateProjectVersion
/// action.
///
///
public partial class CreateProjectVersionRequest : AmazonRekognitionRequest
{
private string _kmsKeyId;
private OutputConfig _outputConfig;
private string _projectArn;
private Dictionary _tags = new Dictionary();
private TestingData _testingData;
private TrainingData _trainingData;
private string _versionName;
///
/// Gets and sets the property KmsKeyId.
///
/// The identifier for your AWS Key Management Service key (AWS KMS key). You can supply
/// the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for
/// your KMS key, or an alias ARN. The key is used to encrypt training and test images
/// copied into the service for model training. Your source images are unaffected. The
/// key is also used to encrypt training results and manifest files written to the output
/// Amazon S3 bucket (OutputConfig
).
///
///
///
/// If you choose to use your own KMS key, you need the following permissions on the KMS
/// key.
///
/// -
///
/// kms:CreateGrant
///
///
-
///
/// kms:DescribeKey
///
///
-
///
/// kms:GenerateDataKey
///
///
-
///
/// kms:Decrypt
///
///
///
/// If you don't specify a value for KmsKeyId
, images copied into the service
/// are encrypted using a key that AWS owns and manages.
///
///
[AWSProperty(Min=1, Max=2048)]
public string KmsKeyId
{
get { return this._kmsKeyId; }
set { this._kmsKeyId = value; }
}
// Check to see if KmsKeyId property is set
internal bool IsSetKmsKeyId()
{
return this._kmsKeyId != null;
}
///
/// Gets and sets the property OutputConfig.
///
/// The Amazon S3 bucket location to store the results of training. The S3 bucket can
/// be in any AWS account as long as the caller has s3:PutObject
permissions
/// on the S3 bucket.
///
///
[AWSProperty(Required=true)]
public OutputConfig OutputConfig
{
get { return this._outputConfig; }
set { this._outputConfig = value; }
}
// Check to see if OutputConfig property is set
internal bool IsSetOutputConfig()
{
return this._outputConfig != null;
}
///
/// Gets and sets the property ProjectArn.
///
/// The ARN of the Amazon Rekognition Custom Labels project that manages the model that
/// you want to train.
///
///
[AWSProperty(Required=true, Min=20, Max=2048)]
public string ProjectArn
{
get { return this._projectArn; }
set { this._projectArn = value; }
}
// Check to see if ProjectArn property is set
internal bool IsSetProjectArn()
{
return this._projectArn != null;
}
///
/// Gets and sets the property Tags.
///
/// A set of tags (key-value pairs) that you want to attach to the model.
///
///
[AWSProperty(Min=0, Max=200)]
public Dictionary Tags
{
get { return this._tags; }
set { this._tags = value; }
}
// Check to see if Tags property is set
internal bool IsSetTags()
{
return this._tags != null && this._tags.Count > 0;
}
///
/// Gets and sets the property TestingData.
///
/// Specifies an external manifest that the service uses to test the model. If you specify
/// TestingData
you must also specify TrainingData
. The project
/// must not have any associated datasets.
///
///
public TestingData TestingData
{
get { return this._testingData; }
set { this._testingData = value; }
}
// Check to see if TestingData property is set
internal bool IsSetTestingData()
{
return this._testingData != null;
}
///
/// Gets and sets the property TrainingData.
///
/// Specifies an external manifest that the services uses to train the model. If you specify
/// TrainingData
you must also specify TestingData
. The project
/// must not have any associated datasets.
///
///
public TrainingData TrainingData
{
get { return this._trainingData; }
set { this._trainingData = value; }
}
// Check to see if TrainingData property is set
internal bool IsSetTrainingData()
{
return this._trainingData != null;
}
///
/// Gets and sets the property VersionName.
///
/// A name for the version of the model. This value must be unique.
///
///
[AWSProperty(Required=true, Min=1, Max=255)]
public string VersionName
{
get { return this._versionName; }
set { this._versionName = value; }
}
// Check to see if VersionName property is set
internal bool IsSetVersionName()
{
return this._versionName != null;
}
}
}