Provides information about a specified data ingestion job, including dataset information, data ingestion configuration, and status.

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.

Provides information about the data schema used with the given dataset.

Contains information about the specific data set, including name, ARN, and status.

Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.

Specifies configuration information for the input data for the inference, including S3 location of input data..

Specifies configuration information for the input data for the inference, including timestamp format and delimiter.

Specifies configuration information for the output results from for the inference, including KMS key ID and output S3 location.

Specifies configuration information for the input data for the inference, including input data S3 location.

Specifies configuration information for the output results from the inference, including output S3 location.

Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.

Specifies configuration information for the input data for the data ingestion job, including input data S3 location.

Specifies S3 configuration information for the input data for the data ingestion job.

Contains the configuration information for the S3 location being used to hold label data.

The location information (prefix and bucket name) for the s3 location being used for label data.

Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.

Contains information about an S3 bucket.

A tag is a key-value pair that can be added to a resource as metadata.