/* * 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 { /// /// This structure specifies how to split the data into train and validation datasets. /// /// /// /// The validation and training datasets must contain the same headers. For jobs created /// by calling CreateAutoMLJob, the validation dataset must be less than /// 2 GB in size. /// /// public partial class AutoMLDataSplitConfig { private float? _validationFraction; /// /// Gets and sets the property ValidationFraction. /// /// The validation fraction (optional) is a float that specifies the portion of the training /// dataset to be used for validation. The default value is 0.2, and values must be greater /// than 0 and less than 1. We recommend setting this value to be less than 0.5. /// /// [AWSProperty(Min=0, Max=1)] public float ValidationFraction { get { return this._validationFraction.GetValueOrDefault(); } set { this._validationFraction = value; } } // Check to see if ValidationFraction property is set internal bool IsSetValidationFraction() { return this._validationFraction.HasValue; } } }