/* * Copyright 2018-2023 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. */ package com.amazonaws.services.machinelearning; import javax.annotation.Generated; import com.amazonaws.services.machinelearning.model.*; /** * Interface for accessing Amazon Machine Learning asynchronously. Each asynchronous method will return a Java Future * object representing the asynchronous operation; overloads which accept an {@code AsyncHandler} can be used to receive * notification when an asynchronous operation completes. *

* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from * {@link com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync} instead. *

* Definition of the public APIs exposed by Amazon Machine Learning */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public interface AmazonMachineLearningAsync extends AmazonMachineLearning { /** *

* Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you * add a tag using a key that is already associated with the ML object, AddTags updates the tag's * value. *

* * @param addTagsRequest * @return A Java Future containing the result of the AddTags operation returned by the service. * @sample AmazonMachineLearningAsync.AddTags */ java.util.concurrent.Future addTagsAsync(AddTagsRequest addTagsRequest); /** *

* * @param addTagsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the AddTags operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.AddTags */ java.util.concurrent.Future addTagsAsync(AddTagsRequest addTagsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Generates predictions for a group of observations. The observations to process exist in one or more data files * referenced by a DataSource. This operation creates a new BatchPrediction, and uses an * MLModel and the data files referenced by the DataSource as information sources. *

* CreateBatchPrediction is an asynchronous operation. In response to * CreateBatchPrediction, Amazon Machine Learning (Amazon ML) immediately returns and sets the * BatchPrediction status to PENDING. After the BatchPrediction completes, * Amazon ML sets the status to COMPLETED. *

* You can poll for status updates by using the GetBatchPrediction operation and checking the * Status parameter of the result. After the COMPLETED status appears, the results are * available in the location specified by the OutputUri parameter. *

* * @param createBatchPredictionRequest * @return A Java Future containing the result of the CreateBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsync.CreateBatchPrediction */ java.util.concurrent.Future createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest); /** *

* * @param createBatchPredictionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateBatchPrediction */ java.util.concurrent.Future createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a DataSource object from an Amazon Relational Database * Service (Amazon RDS). A DataSource references data that can be used to perform * CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations. *

* CreateDataSourceFromRDS is an asynchronous operation. In response to * CreateDataSourceFromRDS, Amazon Machine Learning (Amazon ML) immediately returns and sets the * DataSource status to PENDING. After the DataSource is created and ready * for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in * the COMPLETED or PENDING state can be used only to perform * >CreateMLModel>, CreateEvaluation, or CreateBatchPrediction * operations. *

* If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* * @param createDataSourceFromRDSRequest * @return A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service. * @sample AmazonMachineLearningAsync.CreateDataSourceFromRDS */ java.util.concurrent.Future createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest); /** *

* If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* * @param createDataSourceFromRDSRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateDataSourceFromRDS */ java.util.concurrent.Future createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a DataSource from a database hosted on an Amazon Redshift cluster. A DataSource * references data that can be used to perform either CreateMLModel, CreateEvaluation, or * CreateBatchPrediction operations. *

* CreateDataSourceFromRedshift is an asynchronous operation. In response to * CreateDataSourceFromRedshift, Amazon Machine Learning (Amazon ML) immediately returns and sets the * DataSource status to PENDING. After the DataSource is created and ready * for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in * COMPLETED or PENDING states can be used to perform only CreateMLModel, * CreateEvaluation, or CreateBatchPrediction operations. *

* If Amazon ML can't accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* The observations should be contained in the database hosted on an Amazon Redshift cluster and should be specified * by a SelectSqlQuery query. Amazon ML executes an Unload command in Amazon Redshift to * transfer the result set of the SelectSqlQuery query to S3StagingLocation. *

* After the DataSource has been created, it's ready for use in evaluations and batch predictions. If * you plan to use the DataSource to train an MLModel, the DataSource also * requires a recipe. A recipe describes how each input variable will be used in training an MLModel. * Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it * be combined with another variable or will it be split apart into word combinations? The recipe provides answers * to these questions. *

* You can't change an existing datasource, but you can copy and modify the settings from an existing Amazon * Redshift datasource to create a new datasource. To do so, call GetDataSource for an existing * datasource and copy the values to a CreateDataSource call. Change the settings that you want to * change and make sure that all required fields have the appropriate values. *

* * @param createDataSourceFromRedshiftRequest * @return A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the * service. * @sample AmazonMachineLearningAsync.CreateDataSourceFromRedshift */ java.util.concurrent.Future createDataSourceFromRedshiftAsync( CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest); /** *

* If Amazon ML can't accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* * @param createDataSourceFromRedshiftRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the * service. * @sample AmazonMachineLearningAsyncHandler.CreateDataSourceFromRedshift */ java.util.concurrent.Future createDataSourceFromRedshiftAsync( CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a DataSource object. A DataSource references data that can be used to perform * CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations. *

* CreateDataSourceFromS3 is an asynchronous operation. In response to * CreateDataSourceFromS3, Amazon Machine Learning (Amazon ML) immediately returns and sets the * DataSource status to PENDING. After the DataSource has been created and is * ready for use, Amazon ML sets the Status parameter to COMPLETED. * DataSource in the COMPLETED or PENDING state can be used to perform only * CreateMLModel, CreateEvaluation or CreateBatchPrediction operations. *

* If Amazon ML can't accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* The observation data used in a DataSource should be ready to use; that is, it should have a * consistent structure, and missing data values should be kept to a minimum. The observation data must reside in * one or more .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with a schema that * describes the data items by name and type. The same schema must be used for all of the data files referenced by * the DataSource. *

* After the DataSource has been created, it's ready to use in evaluations and batch predictions. If * you plan to use the DataSource to train an MLModel, the DataSource also * needs a recipe. A recipe describes how each input variable will be used in training an MLModel. Will * the variable be included or excluded from training? Will the variable be manipulated; for example, will it be * combined with another variable or will it be split apart into word combinations? The recipe provides answers to * these questions. *

* * @param createDataSourceFromS3Request * @return A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service. * @sample AmazonMachineLearningAsync.CreateDataSourceFromS3 */ java.util.concurrent.Future createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request); /** *

* Creates a DataSource object. A DataSource references data that can be used to perform * CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations. *

* If Amazon ML can't accept the input source, it sets the Status parameter to FAILED and * includes an error message in the Message attribute of the GetDataSource operation * response. *

* * @param createDataSourceFromS3Request * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateDataSourceFromS3 */ java.util.concurrent.Future createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a new Evaluation of an MLModel. An MLModel is evaluated on a set * of observations associated to a DataSource. Like a DataSource for an * MLModel, the DataSource for an Evaluation contains values for the * Target Variable. The Evaluation compares the predicted result for each observation to * the actual outcome and provides a summary so that you know how effective the MLModel functions on * the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or * MulticlassAvgFScore based on the corresponding MLModelType: BINARY, * REGRESSION or MULTICLASS. *

* CreateEvaluation is an asynchronous operation. In response to CreateEvaluation, Amazon * Machine Learning (Amazon ML) immediately returns and sets the evaluation status to PENDING. After * the Evaluation is created and ready for use, Amazon ML sets the status to COMPLETED. *

* You can use the GetEvaluation operation to check progress of the evaluation during the creation * operation. *

* * @param createEvaluationRequest * @return A Java Future containing the result of the CreateEvaluation operation returned by the service. * @sample AmazonMachineLearningAsync.CreateEvaluation */ java.util.concurrent.Future createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest); /** *

* You can use the GetEvaluation operation to check progress of the evaluation during the creation * operation. *

* * @param createEvaluationRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateEvaluation operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateEvaluation */ java.util.concurrent.Future createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a new MLModel using the DataSource and the recipe as information sources. *

* An MLModel is nearly immutable. Users can update only the MLModelName and the * ScoreThreshold in an MLModel without creating a new MLModel. *

* CreateMLModel is an asynchronous operation. In response to CreateMLModel, Amazon * Machine Learning (Amazon ML) immediately returns and sets the MLModel status to PENDING * . After the MLModel has been created and ready is for use, Amazon ML sets the status to * COMPLETED. *

* You can use the GetMLModel operation to check the progress of the MLModel during the * creation operation. *

* CreateMLModel requires a DataSource with computed statistics, which can be created by * setting ComputeStatistics to true in CreateDataSourceFromRDS, * CreateDataSourceFromS3, or CreateDataSourceFromRedshift operations. *

* * @param createMLModelRequest * @return A Java Future containing the result of the CreateMLModel operation returned by the service. * @sample AmazonMachineLearningAsync.CreateMLModel */ java.util.concurrent.Future createMLModelAsync(CreateMLModelRequest createMLModelRequest); /** *

* Creates a new MLModel using the DataSource and the recipe as information sources. *

* An MLModel is nearly immutable. Users can update only the MLModelName and the * ScoreThreshold in an MLModel without creating a new MLModel. *

* You can use the GetMLModel operation to check the progress of the MLModel during the * creation operation. *

* * @param createMLModelRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateMLModel operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateMLModel */ java.util.concurrent.Future createMLModelAsync(CreateMLModelRequest createMLModelRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the * MLModel; that is, the location to send real-time prediction requests for the specified * MLModel. *

* * @param createRealtimeEndpointRequest * @return A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service. * @sample AmazonMachineLearningAsync.CreateRealtimeEndpoint */ java.util.concurrent.Future createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest); /** *

* Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the * MLModel; that is, the location to send real-time prediction requests for the specified * MLModel. *

* * @param createRealtimeEndpointRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.CreateRealtimeEndpoint */ java.util.concurrent.Future createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Assigns the DELETED status to a BatchPrediction, rendering it unusable. *

* After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation * to verify that the status of the BatchPrediction changed to DELETED. *

* Caution: The result of the DeleteBatchPrediction operation is irreversible. *

* * @param deleteBatchPredictionRequest * @return A Java Future containing the result of the DeleteBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteBatchPrediction */ java.util.concurrent.Future deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest); /** *

* Assigns the DELETED status to a BatchPrediction, rendering it unusable. *

* After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation * to verify that the status of the BatchPrediction changed to DELETED. *

* Caution: The result of the DeleteBatchPrediction operation is irreversible. *

* * @param deleteBatchPredictionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteBatchPrediction */ java.util.concurrent.Future deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Assigns the DELETED status to a DataSource, rendering it unusable. *

* After using the DeleteDataSource operation, you can use the GetDataSource operation to verify * that the status of the DataSource changed to DELETED. *

* Caution: The results of the DeleteDataSource operation are irreversible. *

* * @param deleteDataSourceRequest * @return A Java Future containing the result of the DeleteDataSource operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteDataSource */ java.util.concurrent.Future deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest); /** *

* Assigns the DELETED status to a DataSource, rendering it unusable. *

* After using the DeleteDataSource operation, you can use the GetDataSource operation to verify * that the status of the DataSource changed to DELETED. *

* Caution: The results of the DeleteDataSource operation are irreversible. *

* * @param deleteDataSourceRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteDataSource operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteDataSource */ java.util.concurrent.Future deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Assigns the DELETED status to an Evaluation, rendering it unusable. *

* After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation * to verify that the status of the Evaluation changed to DELETED. *

* Caution: The results of the DeleteEvaluation operation are irreversible. *

* * @param deleteEvaluationRequest * @return A Java Future containing the result of the DeleteEvaluation operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteEvaluation */ java.util.concurrent.Future deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest); /** *

* Assigns the DELETED status to an Evaluation, rendering it unusable. *

* After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation * to verify that the status of the Evaluation changed to DELETED. *

* Caution: The results of the DeleteEvaluation operation are irreversible. *

* * @param deleteEvaluationRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteEvaluation operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteEvaluation */ java.util.concurrent.Future deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Assigns the DELETED status to an MLModel, rendering it unusable. *

* After using the DeleteMLModel operation, you can use the GetMLModel operation to verify * that the status of the MLModel changed to DELETED. *

* Caution: The result of the DeleteMLModel operation is irreversible. *

* * @param deleteMLModelRequest * @return A Java Future containing the result of the DeleteMLModel operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteMLModel */ java.util.concurrent.Future deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest); /** *

* Assigns the DELETED status to an MLModel, rendering it unusable. *

* After using the DeleteMLModel operation, you can use the GetMLModel operation to verify * that the status of the MLModel changed to DELETED. *

* Caution: The result of the DeleteMLModel operation is irreversible. *

* * @param deleteMLModelRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteMLModel operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteMLModel */ java.util.concurrent.Future deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Deletes a real time endpoint of an MLModel. *

* * @param deleteRealtimeEndpointRequest * @return A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteRealtimeEndpoint */ java.util.concurrent.Future deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest); /** *

* Deletes a real time endpoint of an MLModel. *

* * @param deleteRealtimeEndpointRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteRealtimeEndpoint */ java.util.concurrent.Future deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover * deleted tags. *

* If you specify a tag that doesn't exist, Amazon ML ignores it. *

* * @param deleteTagsRequest * @return A Java Future containing the result of the DeleteTags operation returned by the service. * @sample AmazonMachineLearningAsync.DeleteTags */ java.util.concurrent.Future deleteTagsAsync(DeleteTagsRequest deleteTagsRequest); /** *

* Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover * deleted tags. *

* If you specify a tag that doesn't exist, Amazon ML ignores it. *

* * @param deleteTagsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DeleteTags operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DeleteTags */ java.util.concurrent.Future deleteTagsAsync(DeleteTagsRequest deleteTagsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a list of BatchPrediction operations that match the search criteria in the request. *

* * @param describeBatchPredictionsRequest * @return A Java Future containing the result of the DescribeBatchPredictions operation returned by the service. * @sample AmazonMachineLearningAsync.DescribeBatchPredictions */ java.util.concurrent.Future describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest); /** *

* Returns a list of BatchPrediction operations that match the search criteria in the request. *

* * @param describeBatchPredictionsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DescribeBatchPredictions operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DescribeBatchPredictions */ java.util.concurrent.Future describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** * Simplified method form for invoking the DescribeBatchPredictions operation. * * @see #describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) */ java.util.concurrent.Future describeBatchPredictionsAsync(); /** * Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler. * * @see #describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, com.amazonaws.handlers.AsyncHandler) */ java.util.concurrent.Future describeBatchPredictionsAsync( com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a list of DataSource that match the search criteria in the request. *

* * @param describeDataSourcesRequest * @return A Java Future containing the result of the DescribeDataSources operation returned by the service. * @sample AmazonMachineLearningAsync.DescribeDataSources */ java.util.concurrent.Future describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest); /** *

* Returns a list of DataSource that match the search criteria in the request. *

* * @param describeDataSourcesRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DescribeDataSources operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DescribeDataSources */ java.util.concurrent.Future describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** * Simplified method form for invoking the DescribeDataSources operation. * * @see #describeDataSourcesAsync(DescribeDataSourcesRequest) */ java.util.concurrent.Future describeDataSourcesAsync(); /** * Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler. * * @see #describeDataSourcesAsync(DescribeDataSourcesRequest, com.amazonaws.handlers.AsyncHandler) */ java.util.concurrent.Future describeDataSourcesAsync( com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a list of DescribeEvaluations that match the search criteria in the request. *

* * @param describeEvaluationsRequest * @return A Java Future containing the result of the DescribeEvaluations operation returned by the service. * @sample AmazonMachineLearningAsync.DescribeEvaluations */ java.util.concurrent.Future describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest); /** *

* Returns a list of DescribeEvaluations that match the search criteria in the request. *

* * @param describeEvaluationsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DescribeEvaluations operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DescribeEvaluations */ java.util.concurrent.Future describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** * Simplified method form for invoking the DescribeEvaluations operation. * * @see #describeEvaluationsAsync(DescribeEvaluationsRequest) */ java.util.concurrent.Future describeEvaluationsAsync(); /** * Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler. * * @see #describeEvaluationsAsync(DescribeEvaluationsRequest, com.amazonaws.handlers.AsyncHandler) */ java.util.concurrent.Future describeEvaluationsAsync( com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a list of MLModel that match the search criteria in the request. *

* * @param describeMLModelsRequest * @return A Java Future containing the result of the DescribeMLModels operation returned by the service. * @sample AmazonMachineLearningAsync.DescribeMLModels */ java.util.concurrent.Future describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest); /** *

* Returns a list of MLModel that match the search criteria in the request. *

* * @param describeMLModelsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DescribeMLModels operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DescribeMLModels */ java.util.concurrent.Future describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** * Simplified method form for invoking the DescribeMLModels operation. * * @see #describeMLModelsAsync(DescribeMLModelsRequest) */ java.util.concurrent.Future describeMLModelsAsync(); /** * Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler. * * @see #describeMLModelsAsync(DescribeMLModelsRequest, com.amazonaws.handlers.AsyncHandler) */ java.util.concurrent.Future describeMLModelsAsync( com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Describes one or more of the tags for your Amazon ML object. *

* * @param describeTagsRequest * @return A Java Future containing the result of the DescribeTags operation returned by the service. * @sample AmazonMachineLearningAsync.DescribeTags */ java.util.concurrent.Future describeTagsAsync(DescribeTagsRequest describeTagsRequest); /** *

* Describes one or more of the tags for your Amazon ML object. *

* * @param describeTagsRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DescribeTags operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.DescribeTags */ java.util.concurrent.Future describeTagsAsync(DescribeTagsRequest describeTagsRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a BatchPrediction that includes detailed metadata, status, and data file information for a * Batch Prediction request. *

* * @param getBatchPredictionRequest * @return A Java Future containing the result of the GetBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsync.GetBatchPrediction */ java.util.concurrent.Future getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest); /** *

* Returns a BatchPrediction that includes detailed metadata, status, and data file information for a * Batch Prediction request. *

* * @param getBatchPredictionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.GetBatchPrediction */ java.util.concurrent.Future getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns a DataSource that includes metadata and data file information, as well as the current status * of the DataSource. *

* GetDataSource provides results in normal or verbose format. The verbose format adds the schema * description and the list of files pointed to by the DataSource to the normal format. *

* * @param getDataSourceRequest * @return A Java Future containing the result of the GetDataSource operation returned by the service. * @sample AmazonMachineLearningAsync.GetDataSource */ java.util.concurrent.Future getDataSourceAsync(GetDataSourceRequest getDataSourceRequest); /** *

* Returns a DataSource that includes metadata and data file information, as well as the current status * of the DataSource. *

* GetDataSource provides results in normal or verbose format. The verbose format adds the schema * description and the list of files pointed to by the DataSource to the normal format. *

* * @param getDataSourceRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetDataSource operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.GetDataSource */ java.util.concurrent.Future getDataSourceAsync(GetDataSourceRequest getDataSourceRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns an Evaluation that includes metadata as well as the current status of the * Evaluation. *

* * @param getEvaluationRequest * @return A Java Future containing the result of the GetEvaluation operation returned by the service. * @sample AmazonMachineLearningAsync.GetEvaluation */ java.util.concurrent.Future getEvaluationAsync(GetEvaluationRequest getEvaluationRequest); /** *

* Returns an Evaluation that includes metadata as well as the current status of the * Evaluation. *

* * @param getEvaluationRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetEvaluation operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.GetEvaluation */ java.util.concurrent.Future getEvaluationAsync(GetEvaluationRequest getEvaluationRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Returns an MLModel that includes detailed metadata, data source information, and the current status * of the MLModel. *

* GetMLModel provides results in normal or verbose format. *

* * @param getMLModelRequest * @return A Java Future containing the result of the GetMLModel operation returned by the service. * @sample AmazonMachineLearningAsync.GetMLModel */ java.util.concurrent.Future getMLModelAsync(GetMLModelRequest getMLModelRequest); /** *

* Returns an MLModel that includes detailed metadata, data source information, and the current status * of the MLModel. *

* GetMLModel provides results in normal or verbose format. *

* * @param getMLModelRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetMLModel operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.GetMLModel */ java.util.concurrent.Future getMLModelAsync(GetMLModelRequest getMLModelRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Generates a prediction for the observation using the specified ML Model. *

* Note: Not all response parameters will be populated. Whether a response parameter is populated depends on * the type of model requested. *

* * @param predictRequest * @return A Java Future containing the result of the Predict operation returned by the service. * @sample AmazonMachineLearningAsync.Predict */ java.util.concurrent.Future predictAsync(PredictRequest predictRequest); /** *

* Generates a prediction for the observation using the specified ML Model. *

* Note: Not all response parameters will be populated. Whether a response parameter is populated depends on * the type of model requested. *

* * @param predictRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the Predict operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.Predict */ java.util.concurrent.Future predictAsync(PredictRequest predictRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Updates the BatchPredictionName of a BatchPrediction. *

* You can use the GetBatchPrediction operation to view the contents of the updated data element. *

* * @param updateBatchPredictionRequest * @return A Java Future containing the result of the UpdateBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsync.UpdateBatchPrediction */ java.util.concurrent.Future updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest); /** *

* Updates the BatchPredictionName of a BatchPrediction. *

* You can use the GetBatchPrediction operation to view the contents of the updated data element. *

* * @param updateBatchPredictionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the UpdateBatchPrediction operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.UpdateBatchPrediction */ java.util.concurrent.Future updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Updates the DataSourceName of a DataSource. *

* You can use the GetDataSource operation to view the contents of the updated data element. *

* * @param updateDataSourceRequest * @return A Java Future containing the result of the UpdateDataSource operation returned by the service. * @sample AmazonMachineLearningAsync.UpdateDataSource */ java.util.concurrent.Future updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest); /** *

* Updates the DataSourceName of a DataSource. *

* You can use the GetDataSource operation to view the contents of the updated data element. *

* * @param updateDataSourceRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the UpdateDataSource operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.UpdateDataSource */ java.util.concurrent.Future updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Updates the EvaluationName of an Evaluation. *

* You can use the GetEvaluation operation to view the contents of the updated data element. *

* * @param updateEvaluationRequest * @return A Java Future containing the result of the UpdateEvaluation operation returned by the service. * @sample AmazonMachineLearningAsync.UpdateEvaluation */ java.util.concurrent.Future updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest); /** *

* Updates the EvaluationName of an Evaluation. *

* You can use the GetEvaluation operation to view the contents of the updated data element. *

* * @param updateEvaluationRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the UpdateEvaluation operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.UpdateEvaluation */ java.util.concurrent.Future updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); /** *

* Updates the MLModelName and the ScoreThreshold of an MLModel. *

* You can use the GetMLModel operation to view the contents of the updated data element. *

* * @param updateMLModelRequest * @return A Java Future containing the result of the UpdateMLModel operation returned by the service. * @sample AmazonMachineLearningAsync.UpdateMLModel */ java.util.concurrent.Future updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest); /** *

* Updates the MLModelName and the ScoreThreshold of an MLModel. *

* You can use the GetMLModel operation to view the contents of the updated data element. *

* * @param updateMLModelRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the UpdateMLModel operation returned by the service. * @sample AmazonMachineLearningAsyncHandler.UpdateMLModel */ java.util.concurrent.Future updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest, com.amazonaws.handlers.AsyncHandler asyncHandler); }