AWS SDK Version 2 for .NET
API Reference

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.NET Framework 3.5
 
Configuration for accessing Amazon GetMLModel service

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceResponse
    Amazon.MachineLearning.Model.GetMLModelResult
      Amazon.MachineLearning.Model.GetMLModelResponse

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

Syntax

C#
public class GetMLModelResponse : GetMLModelResult

The GetMLModelResponse type exposes the following members

Constructors

NameDescription
Public Method GetMLModelResponse()

Properties

NameTypeDescription
Public Property ContentLength System.Int64 Inherited from Amazon.Runtime.AmazonWebServiceResponse.
Public Property CreatedAt System.DateTime Gets and sets the property CreatedAt.

The time that the MLModel was created. The time is expressed in epoch time.

Public Property CreatedByIamUser System.String Gets and sets the property CreatedByIamUser.

The AWS user account from which the MLModel was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

Public Property EndpointInfo Amazon.MachineLearning.Model.RealtimeEndpointInfo Gets and sets the property EndpointInfo.

The current endpoint of the MLModel

Public Property GetMLModelResult Amazon.MachineLearning.Model.GetMLModelResult Gets and sets the GetMLModelResult property. Represents the output of a GetMLModel operation.
Public Property HttpStatusCode System.Net.HttpStatusCode Inherited from Amazon.Runtime.AmazonWebServiceResponse.
Public Property InputDataLocationS3 System.String Gets and sets the property InputDataLocationS3.

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

Public Property LastUpdatedAt System.DateTime Gets and sets the property LastUpdatedAt.

The time of the most recent edit to the MLModel. The time is expressed in epoch time.

Public Property LogUri System.String Gets and sets the property LogUri.

A link to the file that contains logs of the CreateMLModel operation.

Public Property Message System.String Gets and sets the property Message.

Description of the most recent details about accessing the MLModel.

Public Property MLModelId System.String Gets and sets the property MLModelId.

The MLModel ID which is same as the MLModelId in the request.

Public Property MLModelType Amazon.MachineLearning.MLModelType Gets and sets the property MLModelType.

Identifies the MLModel category. The following are the available types:

  • REGRESSION -- Produces a numeric result. For example, "What listing price should a house have?"
  • BINARY -- Produces one of two possible results. For example, "Is this an e-commerce website?"
  • MULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?"
Public Property Name System.String Gets and sets the property Name.

A user-supplied name or description of the MLModel.

Public Property Recipe System.String Gets and sets the property Recipe.

The recipe to use when training the MLModel. The Recipe provides detailed information about the observation data to use during training, as well as manipulations to perform on the observation data during training.

Note

This parameter is provided as part of the verbose format.

Public Property ResponseMetadata Amazon.Runtime.ResponseMetadata Inherited from Amazon.Runtime.AmazonWebServiceResponse.
Public Property Schema System.String Gets and sets the property Schema.

The schema used by all of the data files referenced by the DataSource.

Note

This parameter is provided as part of the verbose format.

Public Property ScoreThreshold System.Single Gets and sets the property ScoreThreshold.

The scoring threshold is used in binary classification MLModels, and marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the threshold receive a positive result from the MLModel, such as true. Output values less than the threshold receive a negative response from the MLModel, such as false.

Public Property ScoreThresholdLastUpdatedAt System.DateTime Gets and sets the property ScoreThresholdLastUpdatedAt.

The time of the most recent edit to the ScoreThreshold. The time is expressed in epoch time.

Public Property SizeInBytes System.Int64 Gets and sets the property SizeInBytes.
Public Property Status Amazon.MachineLearning.EntityStatus Gets and sets the property Status.

The current status of the MLModel. This element can have one of the following values:

  • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to describe a MLModel.
  • INPROGRESS - The request is processing.
  • FAILED - The request did not run to completion. It is not usable.
  • COMPLETED - The request completed successfully.
  • DELETED - The MLModel is marked as deleted. It is not usable.
Public Property TrainingDataSourceId System.String Gets and sets the property TrainingDataSourceId.

The ID of the training DataSource.

Public Property TrainingParameters System.Collections.Generic.Dictionary<System.String, System.String> Gets and sets the property TrainingParameters.

A list of the training parameters in the MLModel. The list is implemented as a map of key/value pairs.

The following is the current set of training parameters:

  • sgd.l1RegularizationAmount - Coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.

    The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L1 normalization. The parameter cannot be used when L2 is specified. Use this parameter sparingly.

  • sgd.l2RegularizationAmount - Coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.

    The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L2 normalization. This parameter cannot be used when L1 is specified. Use this parameter sparingly.

  • sgd.maxPasses - The number of times that the training process traverses the observations to build the MLModel. The value is an integer that ranges from 1 to 10000. The default value is 10.

  • sgd.maxMLModelSizeInBytes - The maximum allowed size of the model. Depending on the input data, the model size might affect performance.

    The value is an integer that ranges from 100000 to 2147483648. The default value is 33554432.

Version Information

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