lookoutequipment_create_model: Creates an ML model for data inference
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

View source: R/lookoutequipment_operations.R

lookoutequipment_create_model

R Documentation

Creates an ML model for data inference

Description

Creates an ML model for data inference.

See https://www.paws-r-sdk.com/docs/lookoutequipment_create_model/ for full documentation.

Usage

lookoutequipment_create_model(
  ModelName,
  DatasetName,
  DatasetSchema = NULL,
  LabelsInputConfiguration = NULL,
  ClientToken,
  TrainingDataStartTime = NULL,
  TrainingDataEndTime = NULL,
  EvaluationDataStartTime = NULL,
  EvaluationDataEndTime = NULL,
  RoleArn = NULL,
  DataPreProcessingConfiguration = NULL,
  ServerSideKmsKeyId = NULL,
  Tags = NULL,
  OffCondition = NULL
)

Arguments

`ModelName`	[required] The name for the ML model to be created.
`DatasetName`	[required] The name of the dataset for the ML model being created.
`DatasetSchema`	The data schema for the ML model being created.
`LabelsInputConfiguration`	The input configuration for the labels being used for the ML model that's being created.
`ClientToken`	[required] A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
`TrainingDataStartTime`	Indicates the time reference in the dataset that should be used to begin the subset of training data for the ML model.
`TrainingDataEndTime`	Indicates the time reference in the dataset that should be used to end the subset of training data for the ML model.
`EvaluationDataStartTime`	Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the ML model.
`EvaluationDataEndTime`	Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the ML model.
`RoleArn`	The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the ML model.
`DataPreProcessingConfiguration`	The configuration is the `TargetSamplingRate`, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the `TargetSamplingRate` is 1 minute. When providing a value for the `TargetSamplingRate`, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H
`ServerSideKmsKeyId`	Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
`Tags`	Any tags associated with the ML model being created.
`OffCondition`	Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.