String datasetName
The name of the dataset being created.
DatasetSchema datasetSchema
A JSON description of the data that is in each time series dataset, including names, column names, and data types.
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt dataset data by Amazon Lookout for Equipment.
String clientToken
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
List<E> tags
Any tags associated with the ingested data described in the dataset.
String modelName
The name of the previously trained ML model being used to create the inference scheduler.
String inferenceSchedulerName
The name of the inference scheduler being created.
Long dataDelayOffsetInMinutes
A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
String dataUploadFrequency
How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
InferenceInputConfiguration dataInputConfiguration
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceOutputConfiguration dataOutputConfiguration
Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt inference scheduler data by Amazon Lookout for Equipment.
String clientToken
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
List<E> tags
Any tags associated with the inference scheduler.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler being created.
String inferenceSchedulerName
The name of inference scheduler being created.
String status
Indicates the status of the CreateInferenceScheduler operation.
String modelName
The name for the ML model to be created.
String datasetName
The name of the dataset for the ML model being created.
DatasetSchema datasetSchema
The data schema for the ML model being created.
LabelsInputConfiguration labelsInputConfiguration
The input configuration for the labels being used for the ML model that's being created.
String clientToken
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
Date trainingDataStartTime
Indicates the time reference in the dataset that should be used to begin the subset of training data for the ML model.
Date trainingDataEndTime
Indicates the time reference in the dataset that should be used to end the subset of training data for the ML model.
Date evaluationDataStartTime
Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the ML model.
Date evaluationDataEndTime
Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the ML model.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the ML model.
DataPreProcessingConfiguration 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
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for Equipment.
List<E> tags
Any tags associated with the ML model being created.
String jobId
Indicates the job ID of the data ingestion job.
String datasetName
The name of the dataset used for the data ingestion job.
String datasetArn
The Amazon Resource Name (ARN) of the dataset used in the data ingestion job.
IngestionInputConfiguration ingestionInputConfiguration
Specifies information for the input data for the data inference job, including data S3 location parameters.
String status
Indicates the status of the data ingestion job.
String targetSamplingRate
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
String inlineDataSchema
String datasetName
The name of the dataset to be deleted.
String inferenceSchedulerName
The name of the inference scheduler to be deleted.
String modelName
The name of the ML model to be deleted.
String jobId
The job ID of the data ingestion job.
String jobId
Indicates the job ID of the data ingestion job.
String datasetArn
The Amazon Resource Name (ARN) of the dataset being used in the data ingestion job.
IngestionInputConfiguration ingestionInputConfiguration
Specifies the S3 location configuration for the data input for the data ingestion job.
String roleArn
The Amazon Resource Name (ARN) of an IAM role with permission to access the data source being ingested.
Date createdAt
The time at which the data ingestion job was created.
String status
Indicates the status of the DataIngestionJob operation.
String failedReason
Specifies the reason for failure when a data ingestion job has failed.
String datasetName
The name of the dataset to be described.
String datasetName
The name of the dataset being described.
String datasetArn
The Amazon Resource Name (ARN) of the dataset being described.
Date createdAt
Specifies the time the dataset was created in Amazon Lookout for Equipment.
Date lastUpdatedAt
Specifies the time the dataset was last updated, if it was.
String status
Indicates the status of the dataset.
String schema
A JSON description of the data that is in each time series dataset, including names, column names, and data types.
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt dataset data by Amazon Lookout for Equipment.
IngestionInputConfiguration ingestionInputConfiguration
Specifies the S3 location configuration for the data input for the data ingestion job.
String inferenceSchedulerName
The name of the inference scheduler being described.
String modelArn
The Amazon Resource Name (ARN) of the ML model of the inference scheduler being described.
String modelName
The name of the ML model of the inference scheduler being described.
String inferenceSchedulerName
The name of the inference scheduler being described.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler being described.
String status
Indicates the status of the inference scheduler.
Long dataDelayOffsetInMinutes
A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
String dataUploadFrequency
Specifies how often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
Date createdAt
Specifies the time at which the inference scheduler was created.
Date updatedAt
Specifies the time at which the inference scheduler was last updated, if it was.
InferenceInputConfiguration dataInputConfiguration
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceOutputConfiguration dataOutputConfiguration
Specifies information for the output results for the inference scheduler, including the output S3 location.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt inference scheduler data by Amazon Lookout for Equipment.
String modelName
The name of the ML model to be described.
String modelName
The name of the ML model being described.
String modelArn
The Amazon Resource Name (ARN) of the ML model being described.
String datasetName
The name of the dataset being used by the ML being described.
String datasetArn
The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
String schema
A JSON description of the data that is in each time series dataset, including names, column names, and data types.
LabelsInputConfiguration labelsInputConfiguration
Specifies configuration information about the labels input, including its S3 location.
Date trainingDataStartTime
Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model.
Date trainingDataEndTime
Indicates the time reference in the dataset that was used to end the subset of training data for the ML model.
Date evaluationDataStartTime
Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML model.
Date evaluationDataEndTime
Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being described.
DataPreProcessingConfiguration 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
String status
Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
Date trainingExecutionStartTime
Indicates the time at which the training of the ML model began.
Date trainingExecutionEndTime
Indicates the time at which the training of the ML model was completed.
String failedReason
If the training of the ML model failed, this indicates the reason for that failure.
String modelMetrics
The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is the JSON content of the metrics created when evaluating the model.
Date lastUpdatedTime
Indicates the last time the ML model was updated. The type of update is not specified.
Date createdAt
Indicates the time and date at which the ML model was created.
String serverSideKmsKeyId
Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for Equipment.
String modelName
The name of the ML model being used for the inference execution.
String modelArn
The Amazon Resource Name (ARN) of the ML model used for the inference execution.
String inferenceSchedulerName
The name of the inference scheduler being used for the inference execution.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
Date scheduledStartTime
Indicates the start time at which the inference scheduler began the specific inference execution.
Date dataStartTime
Indicates the time reference in the dataset at which the inference execution began.
Date dataEndTime
Indicates the time reference in the dataset at which the inference execution stopped.
InferenceInputConfiguration dataInputConfiguration
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceOutputConfiguration dataOutputConfiguration
Specifies configuration information for the output results from for the inference execution, including the output S3 location.
S3Object customerResultObject
String status
Indicates the status of the inference execution.
String failedReason
Specifies the reason for failure when an inference execution has failed.
InferenceS3InputConfiguration s3InputConfiguration
Specifies configuration information for the input data for the inference, including S3 location of input data..
String inputTimeZoneOffset
Indicates the difference between your time zone and Greenwich Mean Time (GMT).
InferenceInputNameConfiguration inferenceInputNameConfiguration
> Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
InferenceS3OutputConfiguration s3OutputConfiguration
Specifies configuration information for the output results from for the inference, output S3 location.
String kmsKeyId
The ID number for the AWS KMS key used to encrypt the inference output.
String modelName
The name of the ML model used for the inference scheduler.
String modelArn
The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.
String inferenceSchedulerName
The name of the inference scheduler.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler.
String status
Indicates the status of the inference scheduler.
Long dataDelayOffsetInMinutes
> A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
String dataUploadFrequency
How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
IngestionS3InputConfiguration s3InputConfiguration
The location information for the S3 bucket used for input data for the data ingestion.
LabelsS3InputConfiguration s3InputConfiguration
Contains location information for the S3 location being used for label data.
String datasetName
The name of the dataset being used for the data ingestion job.
String nextToken
An opaque pagination token indicating where to continue the listing of data ingestion jobs.
Integer maxResults
Specifies the maximum number of data ingestion jobs to list.
String status
Indicates the status of the data ingestion job.
String nextToken
An opaque pagination token indicating where to continue the listing of inference executions.
Integer maxResults
Specifies the maximum number of inference executions to list.
String inferenceSchedulerName
The name of the inference scheduler for the inference execution listed.
Date dataStartTimeAfter
The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.
Date dataEndTimeBefore
The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.
String status
The status of the inference execution.
String nextToken
An opaque pagination token indicating where to continue the listing of inference executions.
List<E> inferenceExecutionSummaries
Provides an array of information about the individual inference executions returned from the
ListInferenceExecutions operation, including model used, inference scheduler, data configuration,
and so on.
String nextToken
An opaque pagination token indicating where to continue the listing of inference schedulers.
Integer maxResults
Specifies the maximum number of inference schedulers to list.
String inferenceSchedulerNameBeginsWith
The beginning of the name of the inference schedulers to be listed.
String modelName
The name of the ML model used by the inference scheduler to be listed.
String nextToken
An opaque pagination token indicating where to continue the listing of inference schedulers.
List<E> inferenceSchedulerSummaries
Provides information about the specified inference scheduler, including data upload frequency, model name and ARN, and status.
String nextToken
An opaque pagination token indicating where to continue the listing of ML models.
Integer maxResults
Specifies the maximum number of ML models to list.
String status
The status of the ML model.
String modelNameBeginsWith
The beginning of the name of the ML models being listed.
String datasetNameBeginsWith
The beginning of the name of the dataset of the ML models to be listed.
String resourceArn
The Amazon Resource Name (ARN) of the resource (such as the dataset or model) that is the focus of the
ListTagsForResource operation.
String modelName
The name of the ML model.
String modelArn
The Amazon Resource Name (ARN) of the ML model.
String datasetName
The name of the dataset being used for the ML model.
String datasetArn
The Amazon Resource Name (ARN) of the dataset used to create the model.
String status
Indicates the status of the ML model.
Date createdAt
The time at which the specific model was created.
String datasetName
The name of the dataset being used by the data ingestion job.
IngestionInputConfiguration ingestionInputConfiguration
Specifies information for the input data for the data ingestion job, including dataset S3 location.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the data ingestion job.
String clientToken
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
String inferenceSchedulerName
The name of the inference scheduler to be started.
String modelArn
The Amazon Resource Name (ARN) of the ML model being used by the inference scheduler.
String modelName
The name of the ML model being used by the inference scheduler.
String inferenceSchedulerName
The name of the inference scheduler being started.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler being started.
String status
Indicates the status of the inference scheduler.
String inferenceSchedulerName
The name of the inference scheduler to be stopped.
String modelArn
The Amazon Resource Name (ARN) of the ML model used by the inference scheduler being stopped.
String modelName
The name of the ML model used by the inference scheduler being stopped.
String inferenceSchedulerName
The name of the inference scheduler being stopped.
String inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference schedule being stopped.
String status
Indicates the status of the inference scheduler.
String inferenceSchedulerName
The name of the inference scheduler to be updated.
Long dataDelayOffsetInMinutes
> A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
String dataUploadFrequency
How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
InferenceInputConfiguration dataInputConfiguration
Specifies information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceOutputConfiguration dataOutputConfiguration
Specifies information for the output results from the inference scheduler, including the output S3 location.
String roleArn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler.
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