machinelearning/aws.sdk.kotlin.services.machinelearning.model/GetMlModelResponse/Builder

Builder

Properties

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.

createdAt

var createdAt: Instant?

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

createdByIamUser

var 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.

endpointInfo

var endpointInfo: RealtimeEndpointInfo?

The current endpoint of the MLModel

finishedAt

var finishedAt: Instant?

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.

inputDataLocationS3

var inputDataLocationS3: String?

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

lastUpdatedAt

var lastUpdatedAt: Instant?

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

logUri

var logUri: String?

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

message

var message: String?

A description of the most recent details about accessing the MLModel.

mlModelId

var mlModelId: String?

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

mlModelType

var mlModelType: MlModelType?

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

name

var name: String?

A user-supplied name or description of the MLModel.

recipe

var 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.

schema

var schema: String?

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

scoreThreshold

var scoreThreshold: Float?

The scoring threshold is used in binary classification MLModel models. It marks the boundary between a positive prediction and a negative prediction.

scoreThresholdLastUpdatedAt

var scoreThresholdLastUpdatedAt: Instant?

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

sizeInBytes

var sizeInBytes: Long?

Long integer type that is a 64-bit signed number.

startedAt

var startedAt: Instant?

The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS. StartedAt isn't available if the MLModel is in the PENDING state.

status

var status: EntityStatus?

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

trainingDataSourceId

var trainingDataSourceId: String?

The ID of the training DataSource.

trainingParameters

var trainingParameters: Map<String, String>?

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

Functions

endpointInfo

fun endpointInfo(block: RealtimeEndpointInfo.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.machinelearning.model.RealtimeEndpointInfo inside the given block