/* * 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 glue-2017-03-31.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.Glue.Model { /// /// Container for the parameters to the StartImportLabelsTaskRun operation. /// Enables you to provide additional labels (examples of truth) to be used to teach the /// machine learning transform and improve its quality. This API operation is generally /// used as part of the active learning workflow that starts with the StartMLLabelingSetGenerationTaskRun /// call and that ultimately results in improving the quality of your machine learning /// transform. /// /// /// /// After the StartMLLabelingSetGenerationTaskRun finishes, Glue machine /// learning will have generated a series of questions for humans to answer. (Answering /// these questions is often called 'labeling' in the machine learning workflows). In /// the case of the FindMatches transform, these questions are of the form, /// “What is the correct way to group these rows together into groups composed entirely /// of matching records?” After the labeling process is finished, users upload their answers/labels /// with a call to StartImportLabelsTaskRun. After StartImportLabelsTaskRun /// finishes, all future runs of the machine learning transform use the new and improved /// labels and perform a higher-quality transformation. /// /// /// /// By default, StartMLLabelingSetGenerationTaskRun continually learns from /// and combines all labels that you upload unless you set Replace to true. /// If you set Replace to true, StartImportLabelsTaskRun deletes /// and forgets all previously uploaded labels and learns only from the exact set that /// you upload. Replacing labels can be helpful if you realize that you previously uploaded /// incorrect labels, and you believe that they are having a negative effect on your transform /// quality. /// /// /// /// You can check on the status of your task run by calling the GetMLTaskRun /// operation. /// /// public partial class StartImportLabelsTaskRunRequest : AmazonGlueRequest { private string _inputS3Path; private bool? _replaceAllLabels; private string _transformId; /// /// Gets and sets the property InputS3Path. /// /// The Amazon Simple Storage Service (Amazon S3) path from where you import the labels. /// /// [AWSProperty(Required=true)] public string InputS3Path { get { return this._inputS3Path; } set { this._inputS3Path = value; } } // Check to see if InputS3Path property is set internal bool IsSetInputS3Path() { return this._inputS3Path != null; } /// /// Gets and sets the property ReplaceAllLabels. /// /// Indicates whether to overwrite your existing labels. /// /// public bool ReplaceAllLabels { get { return this._replaceAllLabels.GetValueOrDefault(); } set { this._replaceAllLabels = value; } } // Check to see if ReplaceAllLabels property is set internal bool IsSetReplaceAllLabels() { return this._replaceAllLabels.HasValue; } /// /// Gets and sets the property TransformId. /// /// The unique identifier of the machine learning transform. /// /// [AWSProperty(Required=true, Min=1, Max=255)] public string TransformId { get { return this._transformId; } set { this._transformId = value; } } // Check to see if TransformId property is set internal bool IsSetTransformId() { return this._transformId != null; } } }