GetMLModelOutput class
Represents the output of a GetMLModel operation, and provides
detailed information about a MLModel.
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.ComputeTimeis only available if theMLModelis in theCOMPLETEDstate.final - createdAt → DateTime?
-
The time that the
MLModelwas created. The time is expressed in epoch time.final - createdByIamUser → String?
-
The AWS user account from which the
MLModelwas created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.final - endpointInfo → RealtimeEndpointInfo?
-
The current endpoint of the
MLModelfinal - finishedAt → DateTime?
-
The epoch time when Amazon Machine Learning marked the
MLModelasCOMPLETEDorFAILED.FinishedAtis only available when theMLModelis in theCOMPLETEDorFAILEDstate.final - hashCode → int
-
The hash code for this object.
no setterinherited
- inputDataLocationS3 → String?
-
The location of the data file or directory in Amazon Simple Storage Service
(Amazon S3).
final
- lastUpdatedAt → DateTime?
-
The time of the most recent edit to the
MLModel. The time is expressed in epoch time.final - logUri → String?
-
A link to the file that contains logs of the
CreateMLModeloperation.final - message → String?
-
A description of the most recent details about accessing the
MLModel.final - mLModelId → String?
-
The MLModel ID<?oxy_insert_start author="annbech"
timestamp="20160328T151251-0700">,<?oxy_insert_end> which is same as the
MLModelIdin the request.final - mLModelType → MLModelType?
-
Identifies the
MLModelcategory. The following are the available types:final - name → String?
-
A user-supplied name or description of the
MLModel.final - recipe → String?
-
The recipe to use when training the
MLModel. TheRecipeprovides detailed information about the observation data to use during training, and manipulations to perform on the observation data during training.final - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- schema → String?
-
The schema used by all of the data files referenced by the
DataSource.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.final - scoreThresholdLastUpdatedAt → DateTime?
-
The time of the most recent edit to the
ScoreThreshold. The time is expressed in epoch time.final - sizeInBytes → int?
-
final
- startedAt → DateTime?
-
The epoch time when Amazon Machine Learning marked the
MLModelasINPROGRESS.StartedAtisn't available if theMLModelis in thePENDINGstate.final - status → EntityStatus?
-
The current status of the
MLModel. This element can have one of the following values:final - trainingDataSourceId → String?
-
The ID of the training
DataSource.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.final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited