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

Builder

class Builder

Properties

mlModelId

var mlModelId: String?

A user-supplied ID that uniquely identifies the MLModel.

mlModelName

var mlModelName: String?

A user-supplied name or description of the MLModel.

mlModelType

var mlModelType: MlModelType?

The category of supervised learning that this MLModel will address. Choose from the following types:

parameters

var parameters: Map<String, String>?

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

recipe

var recipe: String?

The data recipe for creating the MLModel. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default.

recipeUri

var recipeUri: String?

The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default.

trainingDataSourceId

var trainingDataSourceId: String?

The DataSource that points to the training data.