/* * 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. */ using System; using System.Collections.Generic; using Amazon.MachineLearning.Model; using Amazon.MachineLearning.Util; using Amazon.MachineLearning.Model.Internal.MarshallTransformations; using Amazon.Runtime; using Amazon.Runtime.Internal; using Amazon.Runtime.Internal.Auth; using Amazon.Runtime.Internal.Transform; namespace Amazon.MachineLearning { /// /// Implementation for accessing MachineLearning /// /// Definition of the public APIs exposed by Amazon Machine Learning /// public partial class AmazonMachineLearningClient { /// /// Creates a simple client that just does realtime predictions. /// /// /// Fetches the realtime prediction endpoint for the specified model using the GetMLModel call. /// /// The model to create the realtime predictor for. /// A realtime prediction client. /// /// An error on the server occurred when trying to process a request. /// /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// /// The subscriber exceeded the maximum number of operations. This exception can occur /// when listing objects such as DataSource. /// /// /// The exception is thrown when a predict request is made to an unmounted MLModel. /// /// /// A specified resource cannot be located. /// public RealtimePredictor CreateRealtimePredictor(string modelId) { return new RealtimePredictor(this, modelId); } } }