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.
MLModelusing the data files and the recipe as information sources.
MLModel is nearly immutable. Users can only update the
ScoreThreshold in an
MLModel without creating a
CreateMLModel is an asynchronous operation. In response to
Amazon Machine Learning (Amazon ML) immediately returns and sets the
PENDING. After the
MLModel is created and ready
for use, Amazon ML sets the status to
You can use the GetMLModel operation to check progress of the
during the creation operation.
CreateMLModel requires a
DataSource with computed statistics,
which can be created by setting
in CreateDataSourceFromRDS, CreateDataSourceFromS3, or CreateDataSourceFromRedshift
Version: (assembly version)
public class CreateMLModelRequest : AmazonMachineLearningRequest IRequestEvents
The CreateMLModelRequest type exposes the following members
Gets and sets the property MLModelId.
A user-supplied ID that uniquely identifies the
Gets and sets the property MLModelName.
A user-supplied name or description of the
Gets and sets the property MLModelType.
The category of supervised learning that this
For more information, see the Amazon Machine Learning Developer Guide.
Gets and sets the property Parameters.
A list of the training parameters in the
The following is the current set of training parameters:
Gets and sets the property Recipe.
The data recipe for creating
Gets and sets the property RecipeUri.
The Amazon Simple Storage Service (Amazon S3) location and file name that contains
Gets and sets the property TrainingDataSourceId.
Supported in: 4.5, 4.0, 3.5