MLModel class

Represents the output of a GetMLModel operation.

The content consists of the detailed metadata and the current status of the MLModel.

Annotations
  • @JsonSerializable(includeIfNull: false, explicitToJson: true, createFactory: true, createToJson: false)

Constructors

MLModel({Algorithm algorithm, int computeTime, DateTime createdAt, String createdByIamUser, RealtimeEndpointInfo endpointInfo, DateTime finishedAt, String inputDataLocationS3, DateTime lastUpdatedAt, String mLModelId, MLModelType mLModelType, String message, String name, double scoreThreshold, DateTime scoreThresholdLastUpdatedAt, int sizeInBytes, DateTime startedAt, EntityStatus status, String trainingDataSourceId, Map<String, String> trainingParameters})
MLModel.fromJson(Map<String, dynamic> json)
factory

Properties

algorithm Algorithm
The algorithm used to train the MLModel. The following algorithm is supported: [...]
@JsonKey(name: 'Algorithm'), final
computeTime int
@JsonKey(name: 'ComputeTime'), final
createdAt DateTime
The time that the MLModel was created. The time is expressed in epoch time.
@JsonKey(name: 'CreatedAt', fromJson: unixTimestampFromJson, toJson: unixTimestampToJson), final
createdByIamUser String
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.
@JsonKey(name: 'CreatedByIamUser'), final
endpointInfo RealtimeEndpointInfo
The current endpoint of the MLModel.
@JsonKey(name: 'EndpointInfo'), final
finishedAt DateTime
@JsonKey(name: 'FinishedAt', fromJson: unixTimestampFromJson, toJson: unixTimestampToJson), final
hashCode int
The hash code for this object. [...]
read-only, inherited
inputDataLocationS3 String
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
@JsonKey(name: 'InputDataLocationS3'), final
lastUpdatedAt DateTime
The time of the most recent edit to the MLModel. The time is expressed in epoch time.
@JsonKey(name: 'LastUpdatedAt', fromJson: unixTimestampFromJson, toJson: unixTimestampToJson), final
message String
A description of the most recent details about accessing the MLModel.
@JsonKey(name: 'Message'), final
mLModelId String
The ID assigned to the MLModel at creation.
@JsonKey(name: 'MLModelId'), final
mLModelType MLModelType
Identifies the MLModel category. The following are the available types: [...]
@JsonKey(name: 'MLModelType'), final
name String
A user-supplied name or description of the MLModel.
@JsonKey(name: 'Name'), final
runtimeType Type
A representation of the runtime type of the object.
read-only, inherited
scoreThreshold double
@JsonKey(name: 'ScoreThreshold'), final
scoreThresholdLastUpdatedAt DateTime
The time of the most recent edit to the ScoreThreshold. The time is expressed in epoch time.
@JsonKey(name: 'ScoreThresholdLastUpdatedAt', fromJson: unixTimestampFromJson, toJson: unixTimestampToJson), final
sizeInBytes int
@JsonKey(name: 'SizeInBytes'), final
startedAt DateTime
@JsonKey(name: 'StartedAt', fromJson: unixTimestampFromJson, toJson: unixTimestampToJson), final
status EntityStatus
The current status of an MLModel. This element can have one of the following values: [...]
@JsonKey(name: 'Status'), final
trainingDataSourceId String
The ID of the training DataSource. The CreateMLModel operation uses the TrainingDataSourceId.
@JsonKey(name: 'TrainingDataSourceId'), final
trainingParameters Map<String, String>
A list of the training parameters in the MLModel. The list is implemented as a map of key-value pairs. [...]
@JsonKey(name: 'TrainingParameters'), final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a non-existent method or property is accessed. [...]
inherited
toString() String
A string representation of this object. [...]
inherited

Operators

operator ==(Object other) bool
The equality operator. [...]
inherited