/* * 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 { /// /// Container for the parameters to the StartNotebookInstance operation. /// Launches an ML compute instance with the latest version of the libraries and attaches /// your ML storage volume. After configuring the notebook instance, SageMaker sets the /// notebook instance status to InService. A notebook instance's status must /// be InService before you can connect to your Jupyter notebook. /// public partial class StartNotebookInstanceRequest : AmazonSageMakerRequest { private string _notebookInstanceName; /// /// Gets and sets the property NotebookInstanceName. /// /// The name of the notebook instance to start. /// /// [AWSProperty(Required=true, Max=63)] public string NotebookInstanceName { get { return this._notebookInstanceName; } set { this._notebookInstanceName = value; } } // Check to see if NotebookInstanceName property is set internal bool IsSetNotebookInstanceName() { return this._notebookInstanceName != null; } } }