GetMLModelOutput class

Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.

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

Constructors

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

Properties

computeTime int
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources. ComputeTime is only available if the MLModel is in the COMPLETED state.
@JsonKey(name: 'ComputeTime'), final
createdAt DateTime
The time that the MLModel was created. The time is expressed in epoch time.
@JsonKey(name: 'CreatedAt', fromJson: unixFromJson, toJson: unixToJson), 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
The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED. FinishedAt is only available when the MLModel is in the COMPLETED or FAILED state.
@JsonKey(name: 'FinishedAt', fromJson: unixFromJson, toJson: unixToJson), 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: unixFromJson, toJson: unixToJson), final
logUri String
A link to the file that contains logs of the CreateMLModel operation.
@JsonKey(name: 'LogUri'), final
message String
A description of the most recent details about accessing the MLModel.
@JsonKey(name: 'Message'), final
mLModelId String
The MLModel ID<?oxy_insert_start author="annbech" timestamp="20160328T151251-0700">,<?oxy_insert_end> which is same as the MLModelId in the request.
@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
recipe String
The recipe to use when training the MLModel. The Recipe provides detailed information about the observation data to use during training, and manipulations to perform on the observation data during training.
@JsonKey(name: 'Recipe'), final
runtimeType Type
A representation of the runtime type of the object.
read-only, inherited
schema String
The schema used by all of the data files referenced by the DataSource.
@JsonKey(name: 'Schema'), final
scoreThreshold double
The scoring threshold is used in binary classification MLModel<?oxy_insert_start author="laurama" timestamp="20160329T114851-0700"> <?oxy_insert_end>models. It marks the boundary between a positive prediction and a negative prediction. [...]
@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: unixFromJson, toJson: unixToJson), final
sizeInBytes int
@JsonKey(name: 'SizeInBytes'), final
startedAt DateTime
The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS. StartedAt isn't available if the MLModel is in the PENDING state.
@JsonKey(name: 'StartedAt', fromJson: unixFromJson, toJson: unixToJson), final
status EntityStatus
The current status of the MLModel. This element can have one of the following values: [...]
@JsonKey(name: 'Status'), final
trainingDataSourceId String
The ID of the training DataSource.
@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