AWS SDK Version 2 for .NET
API Reference

AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.

.NET Framework 4.5
Creates a new MLModel using the data files and the recipe as information sources.

An MLModel is nearly immutable. Users can only update 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 is created and ready for use, Amazon ML sets the status to COMPLETED.

You can use the GetMLModel operation to check 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.

Namespace: Amazon.MachineLearning
Assembly: AWSSDK.dll
Version: (assembly version)


public virtual CreateMLModelResponse CreateMLModel(
         CreateMLModelRequest request


Type: Amazon.MachineLearning.Model.CreateMLModelRequest

Container for the necessary parameters to execute the CreateMLModel service method.

Return Value
Type: Amazon.MachineLearning.Model.CreateMLModelResponse
The response from the CreateMLModel service method, as returned by MachineLearning.


IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
InternalServerException An error on the server occurred when trying to process a request.
InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5