aws lookoutequipment create-model

Creates a machine learning model for data inference. AWS CLI reference

15 options Its page in the AWS CLI reference

Options

15 in the AWS CLI reference

--client-tokenA unique identifier for the request.

--data-pre-processing-configurationThe configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment.

--dataset-nameThe name of the dataset for the machine learning model being created.

--dataset-schemaThe data schema for the machine learning model being created.

--evaluation-data-end-timeIndicates the time reference in the dataset that should be used to end the subset of evaluation data for the machine learning model.

--evaluation-data-start-timeIndicates the time reference in the dataset that should be used to begin the subset of evaluation data for the machine learning model.

--labels-input-configurationThe input configuration for the labels being used for the machine learning model that's being created.

--model-diagnostics-output-configurationThe Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics.

--model-nameThe name for the machine learning model to be created.

--off-conditionIndicates that the asset associated with this sensor has been shut off.

--role-arnThe Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.

--server-side-kms-key-idProvides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.

--tagsAny tags associated with the machine learning model being created.

--training-data-end-timeIndicates the time reference in the dataset that should be used to end the subset of training data for the machine learning model.

--training-data-start-timeIndicates the time reference in the dataset that should be used to begin the subset of training data for the machine learning model.