R/lookoutequipment_interfaces.R

Defines functions update_label_group_output update_label_group_input update_inference_scheduler_output update_inference_scheduler_input update_active_model_version_output update_active_model_version_input untag_resource_output untag_resource_input tag_resource_output tag_resource_input stop_inference_scheduler_output stop_inference_scheduler_input start_inference_scheduler_output start_inference_scheduler_input start_data_ingestion_job_output start_data_ingestion_job_input put_resource_policy_output put_resource_policy_input list_tags_for_resource_output list_tags_for_resource_input list_sensor_statistics_output list_sensor_statistics_input list_models_output list_models_input list_model_versions_output list_model_versions_input list_labels_output list_labels_input list_label_groups_output list_label_groups_input list_inference_schedulers_output list_inference_schedulers_input list_inference_executions_output list_inference_executions_input list_inference_events_output list_inference_events_input list_datasets_output list_datasets_input list_data_ingestion_jobs_output list_data_ingestion_jobs_input import_model_version_output import_model_version_input import_dataset_output import_dataset_input describe_resource_policy_output describe_resource_policy_input describe_model_version_output describe_model_version_input describe_model_output describe_model_input describe_label_group_output describe_label_group_input describe_label_output describe_label_input describe_inference_scheduler_output describe_inference_scheduler_input describe_dataset_output describe_dataset_input describe_data_ingestion_job_output describe_data_ingestion_job_input delete_resource_policy_output delete_resource_policy_input delete_model_output delete_model_input delete_label_group_output delete_label_group_input delete_label_output delete_label_input delete_inference_scheduler_output delete_inference_scheduler_input delete_dataset_output delete_dataset_input create_model_output create_model_input create_label_group_output create_label_group_input create_label_output create_label_input create_inference_scheduler_output create_inference_scheduler_input create_dataset_output create_dataset_input

# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common populate
#' @include lookoutequipment_service.R
NULL

.lookoutequipment$create_dataset_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), DatasetSchema = structure(list(InlineDataSchema = structure(logical(0), tags = list(jsonvalue = TRUE, type = "string"))), tags = list(type = "structure")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_dataset_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), DataDelayOffsetInMinutes = structure(logical(0), tags = list(type = "long")), DataUploadFrequency = structure(logical(0), tags = list(type = "string")), DataInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), InputTimeZoneOffset = structure(logical(0), tags = list(type = "string")), InferenceInputNameConfiguration = structure(list(TimestampFormat = structure(logical(0), tags = list(type = "string")), ComponentTimestampDelimiter = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), DataOutputConfiguration = structure(list(S3OutputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), KmsKeyId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_inference_scheduler_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_label_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), StartTime = structure(logical(0), tags = list(type = "timestamp")), EndTime = structure(logical(0), tags = list(type = "timestamp")), Rating = structure(logical(0), tags = list(type = "string")), FaultCode = structure(logical(0), tags = list(type = "string")), Notes = structure(logical(0), tags = list(type = "string")), Equipment = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_label_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_label_group_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), FaultCodes = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_label_group_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelGroupArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_model_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), DatasetSchema = structure(list(InlineDataSchema = structure(logical(0), tags = list(jsonvalue = TRUE, type = "string"))), tags = list(type = "structure")), LabelsInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), TrainingDataStartTime = structure(logical(0), tags = list(type = "timestamp")), TrainingDataEndTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataStartTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataEndTime = structure(logical(0), tags = list(type = "timestamp")), RoleArn = structure(logical(0), tags = list(type = "string")), DataPreProcessingConfiguration = structure(list(TargetSamplingRate = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list")), OffCondition = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$create_model_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_dataset_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_dataset_output <- function(...) {
  list()
}

.lookoutequipment$delete_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_inference_scheduler_output <- function(...) {
  list()
}

.lookoutequipment$delete_label_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_label_output <- function(...) {
  list()
}

.lookoutequipment$delete_label_group_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_label_group_output <- function(...) {
  list()
}

.lookoutequipment$delete_model_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_model_output <- function(...) {
  list()
}

.lookoutequipment$delete_resource_policy_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$delete_resource_policy_output <- function(...) {
  list()
}

.lookoutequipment$describe_data_ingestion_job_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(JobId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_data_ingestion_job_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(JobId = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), IngestionInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string")), KeyPattern = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), Status = structure(logical(0), tags = list(type = "string")), FailedReason = structure(logical(0), tags = list(type = "string")), DataQualitySummary = structure(list(InsufficientSensorData = structure(list(MissingCompleteSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), SensorsWithShortDateRange = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))), tags = list(type = "structure")), MissingSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer")), TotalNumberOfMissingValues = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), InvalidSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer")), TotalNumberOfInvalidValues = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), UnsupportedTimestamps = structure(list(TotalNumberOfUnsupportedTimestamps = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), DuplicateTimestamps = structure(list(TotalNumberOfDuplicateTimestamps = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))), tags = list(type = "structure")), IngestedFilesSummary = structure(list(TotalNumberOfFiles = structure(logical(0), tags = list(type = "integer")), IngestedNumberOfFiles = structure(logical(0), tags = list(type = "integer")), DiscardedFiles = structure(list(structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Key = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure")), StatusDetail = structure(logical(0), tags = list(type = "string")), IngestedDataSize = structure(logical(0), tags = list(type = "long")), DataStartTime = structure(logical(0), tags = list(type = "timestamp")), DataEndTime = structure(logical(0), tags = list(type = "timestamp")), SourceDatasetArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_dataset_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_dataset_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), LastUpdatedAt = structure(logical(0), tags = list(type = "timestamp")), Status = structure(logical(0), tags = list(type = "string")), Schema = structure(logical(0), tags = list(jsonvalue = TRUE, type = "string")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), IngestionInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string")), KeyPattern = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), DataQualitySummary = structure(list(InsufficientSensorData = structure(list(MissingCompleteSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), SensorsWithShortDateRange = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))), tags = list(type = "structure")), MissingSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer")), TotalNumberOfMissingValues = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), InvalidSensorData = structure(list(AffectedSensorCount = structure(logical(0), tags = list(type = "integer")), TotalNumberOfInvalidValues = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), UnsupportedTimestamps = structure(list(TotalNumberOfUnsupportedTimestamps = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), DuplicateTimestamps = structure(list(TotalNumberOfDuplicateTimestamps = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))), tags = list(type = "structure")), IngestedFilesSummary = structure(list(TotalNumberOfFiles = structure(logical(0), tags = list(type = "integer")), IngestedNumberOfFiles = structure(logical(0), tags = list(type = "integer")), DiscardedFiles = structure(list(structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Key = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string")), DataStartTime = structure(logical(0), tags = list(type = "timestamp")), DataEndTime = structure(logical(0), tags = list(type = "timestamp")), SourceDatasetArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_inference_scheduler_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelArn = structure(logical(0), tags = list(type = "string")), ModelName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), DataDelayOffsetInMinutes = structure(logical(0), tags = list(type = "long")), DataUploadFrequency = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), UpdatedAt = structure(logical(0), tags = list(type = "timestamp")), DataInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), InputTimeZoneOffset = structure(logical(0), tags = list(type = "string")), InferenceInputNameConfiguration = structure(list(TimestampFormat = structure(logical(0), tags = list(type = "string")), ComponentTimestampDelimiter = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), DataOutputConfiguration = structure(list(S3OutputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), KmsKeyId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), LatestInferenceResult = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_label_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_label_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelGroupArn = structure(logical(0), tags = list(type = "string")), LabelId = structure(logical(0), tags = list(type = "string")), StartTime = structure(logical(0), tags = list(type = "timestamp")), EndTime = structure(logical(0), tags = list(type = "timestamp")), Rating = structure(logical(0), tags = list(type = "string")), FaultCode = structure(logical(0), tags = list(type = "string")), Notes = structure(logical(0), tags = list(type = "string")), Equipment = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_label_group_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_label_group_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelGroupArn = structure(logical(0), tags = list(type = "string")), FaultCodes = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), UpdatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_model_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_model_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Schema = structure(logical(0), tags = list(jsonvalue = TRUE, type = "string")), LabelsInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), TrainingDataStartTime = structure(logical(0), tags = list(type = "timestamp")), TrainingDataEndTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataStartTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataEndTime = structure(logical(0), tags = list(type = "timestamp")), RoleArn = structure(logical(0), tags = list(type = "string")), DataPreProcessingConfiguration = structure(list(TargetSamplingRate = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), Status = structure(logical(0), tags = list(type = "string")), TrainingExecutionStartTime = structure(logical(0), tags = list(type = "timestamp")), TrainingExecutionEndTime = structure(logical(0), tags = list(type = "timestamp")), FailedReason = structure(logical(0), tags = list(type = "string")), ModelMetrics = structure(logical(0), tags = list(jsonvalue = TRUE, type = "string")), LastUpdatedTime = structure(logical(0), tags = list(type = "timestamp")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), OffCondition = structure(logical(0), tags = list(type = "string")), SourceModelVersionArn = structure(logical(0), tags = list(type = "string")), ImportJobStartTime = structure(logical(0), tags = list(type = "timestamp")), ImportJobEndTime = structure(logical(0), tags = list(type = "timestamp")), ActiveModelVersion = structure(logical(0), tags = list(type = "long")), ActiveModelVersionArn = structure(logical(0), tags = list(type = "string")), ModelVersionActivatedAt = structure(logical(0), tags = list(type = "timestamp")), PreviousActiveModelVersion = structure(logical(0), tags = list(type = "long")), PreviousActiveModelVersionArn = structure(logical(0), tags = list(type = "string")), PreviousModelVersionActivatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_model_version_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelVersion = structure(logical(0), tags = list(type = "long"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_model_version_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), ModelVersion = structure(logical(0), tags = list(type = "long")), ModelVersionArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), SourceType = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Schema = structure(logical(0), tags = list(type = "string")), LabelsInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), TrainingDataStartTime = structure(logical(0), tags = list(type = "timestamp")), TrainingDataEndTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataStartTime = structure(logical(0), tags = list(type = "timestamp")), EvaluationDataEndTime = structure(logical(0), tags = list(type = "timestamp")), RoleArn = structure(logical(0), tags = list(type = "string")), DataPreProcessingConfiguration = structure(list(TargetSamplingRate = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), TrainingExecutionStartTime = structure(logical(0), tags = list(type = "timestamp")), TrainingExecutionEndTime = structure(logical(0), tags = list(type = "timestamp")), FailedReason = structure(logical(0), tags = list(type = "string")), ModelMetrics = structure(logical(0), tags = list(type = "string")), LastUpdatedTime = structure(logical(0), tags = list(type = "timestamp")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), OffCondition = structure(logical(0), tags = list(type = "string")), SourceModelVersionArn = structure(logical(0), tags = list(type = "string")), ImportJobStartTime = structure(logical(0), tags = list(type = "timestamp")), ImportJobEndTime = structure(logical(0), tags = list(type = "timestamp")), ImportedDataSizeInBytes = structure(logical(0), tags = list(type = "long"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_resource_policy_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$describe_resource_policy_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(PolicyRevisionId = structure(logical(0), tags = list(type = "string")), ResourcePolicy = structure(logical(0), tags = list(type = "string")), CreationTime = structure(logical(0), tags = list(type = "timestamp")), LastModifiedTime = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$import_dataset_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(SourceDatasetArn = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$import_dataset_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), JobId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$import_model_version_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(SourceModelVersionArn = structure(logical(0), tags = list(type = "string")), ModelName = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), LabelsInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), LabelGroupName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string")), RoleArn = structure(logical(0), tags = list(type = "string")), ServerSideKmsKeyId = structure(logical(0), tags = list(type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$import_model_version_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), ModelVersionArn = structure(logical(0), tags = list(type = "string")), ModelVersion = structure(logical(0), tags = list(type = "long")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_data_ingestion_jobs_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_data_ingestion_jobs_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), DataIngestionJobSummaries = structure(list(structure(list(JobId = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), IngestionInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string")), KeyPattern = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_datasets_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), DatasetNameBeginsWith = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_datasets_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), DatasetSummaries = structure(list(structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_events_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), IntervalStartTime = structure(logical(0), tags = list(type = "timestamp")), IntervalEndTime = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_events_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), InferenceEventSummaries = structure(list(structure(list(InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), EventStartTime = structure(logical(0), tags = list(type = "timestamp")), EventEndTime = structure(logical(0), tags = list(type = "timestamp")), Diagnostics = structure(logical(0), tags = list(type = "string")), EventDurationInSeconds = structure(logical(0), tags = list(type = "long"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_executions_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), DataStartTimeAfter = structure(logical(0), tags = list(type = "timestamp")), DataEndTimeBefore = structure(logical(0), tags = list(type = "timestamp")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_executions_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), InferenceExecutionSummaries = structure(list(structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), ScheduledStartTime = structure(logical(0), tags = list(type = "timestamp")), DataStartTime = structure(logical(0), tags = list(type = "timestamp")), DataEndTime = structure(logical(0), tags = list(type = "timestamp")), DataInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), InputTimeZoneOffset = structure(logical(0), tags = list(type = "string")), InferenceInputNameConfiguration = structure(list(TimestampFormat = structure(logical(0), tags = list(type = "string")), ComponentTimestampDelimiter = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), DataOutputConfiguration = structure(list(S3OutputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), KmsKeyId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), CustomerResultObject = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Key = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), Status = structure(logical(0), tags = list(type = "string")), FailedReason = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_schedulers_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), InferenceSchedulerNameBeginsWith = structure(logical(0), tags = list(type = "string")), ModelName = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_inference_schedulers_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), InferenceSchedulerSummaries = structure(list(structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), DataDelayOffsetInMinutes = structure(logical(0), tags = list(type = "long")), DataUploadFrequency = structure(logical(0), tags = list(type = "string")), LatestInferenceResult = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_label_groups_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupNameBeginsWith = structure(logical(0), tags = list(type = "string")), NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_label_groups_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), LabelGroupSummaries = structure(list(structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelGroupArn = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), UpdatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_labels_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), IntervalStartTime = structure(logical(0), tags = list(type = "timestamp")), IntervalEndTime = structure(logical(0), tags = list(type = "timestamp")), FaultCode = structure(logical(0), tags = list(type = "string")), Equipment = structure(logical(0), tags = list(type = "string")), NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_labels_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), LabelSummaries = structure(list(structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), LabelId = structure(logical(0), tags = list(type = "string")), LabelGroupArn = structure(logical(0), tags = list(type = "string")), StartTime = structure(logical(0), tags = list(type = "timestamp")), EndTime = structure(logical(0), tags = list(type = "timestamp")), Rating = structure(logical(0), tags = list(type = "string")), FaultCode = structure(logical(0), tags = list(type = "string")), Equipment = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_model_versions_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), Status = structure(logical(0), tags = list(type = "string")), SourceType = structure(logical(0), tags = list(type = "string")), CreatedAtEndTime = structure(logical(0), tags = list(type = "timestamp")), CreatedAtStartTime = structure(logical(0), tags = list(type = "timestamp")), MaxModelVersion = structure(logical(0), tags = list(type = "long")), MinModelVersion = structure(logical(0), tags = list(type = "long"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_model_versions_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), ModelVersionSummaries = structure(list(structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), ModelVersion = structure(logical(0), tags = list(type = "long")), ModelVersionArn = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), Status = structure(logical(0), tags = list(type = "string")), SourceType = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_models_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), Status = structure(logical(0), tags = list(type = "string")), ModelNameBeginsWith = structure(logical(0), tags = list(type = "string")), DatasetNameBeginsWith = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_models_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(NextToken = structure(logical(0), tags = list(type = "string")), ModelSummaries = structure(list(structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), DatasetName = structure(logical(0), tags = list(type = "string")), DatasetArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string")), CreatedAt = structure(logical(0), tags = list(type = "timestamp")), ActiveModelVersion = structure(logical(0), tags = list(type = "long")), ActiveModelVersionArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_sensor_statistics_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), IngestionJobId = structure(logical(0), tags = list(type = "string")), MaxResults = structure(logical(0), tags = list(type = "integer")), NextToken = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_sensor_statistics_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(SensorStatisticsSummaries = structure(list(structure(list(ComponentName = structure(logical(0), tags = list(type = "string")), SensorName = structure(logical(0), tags = list(type = "string")), DataExists = structure(logical(0), tags = list(type = "boolean")), MissingValues = structure(list(Count = structure(logical(0), tags = list(type = "integer")), Percentage = structure(logical(0), tags = list(type = "float"))), tags = list(type = "structure")), InvalidValues = structure(list(Count = structure(logical(0), tags = list(type = "integer")), Percentage = structure(logical(0), tags = list(type = "float"))), tags = list(type = "structure")), InvalidDateEntries = structure(list(Count = structure(logical(0), tags = list(type = "integer")), Percentage = structure(logical(0), tags = list(type = "float"))), tags = list(type = "structure")), DuplicateTimestamps = structure(list(Count = structure(logical(0), tags = list(type = "integer")), Percentage = structure(logical(0), tags = list(type = "float"))), tags = list(type = "structure")), CategoricalValues = structure(list(Status = structure(logical(0), tags = list(type = "string")), NumberOfCategory = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), MultipleOperatingModes = structure(list(Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), LargeTimestampGaps = structure(list(Status = structure(logical(0), tags = list(type = "string")), NumberOfLargeTimestampGaps = structure(logical(0), tags = list(type = "integer")), MaxTimestampGapInDays = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), MonotonicValues = structure(list(Status = structure(logical(0), tags = list(type = "string")), Monotonicity = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), DataStartTime = structure(logical(0), tags = list(type = "timestamp")), DataEndTime = structure(logical(0), tags = list(type = "timestamp"))), tags = list(type = "structure"))), tags = list(type = "list")), NextToken = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_tags_for_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$list_tags_for_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$put_resource_policy_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string")), ResourcePolicy = structure(logical(0), tags = list(type = "string")), PolicyRevisionId = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$put_resource_policy_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string")), PolicyRevisionId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$start_data_ingestion_job_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(DatasetName = structure(logical(0), tags = list(type = "string")), IngestionInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string")), KeyPattern = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string")), ClientToken = structure(logical(0), tags = list(idempotencyToken = TRUE, type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$start_data_ingestion_job_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(JobId = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$start_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$start_inference_scheduler_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelArn = structure(logical(0), tags = list(type = "string")), ModelName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$stop_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerName = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$stop_inference_scheduler_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelArn = structure(logical(0), tags = list(type = "string")), ModelName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), InferenceSchedulerArn = structure(logical(0), tags = list(type = "string")), Status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$tag_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string")), Tags = structure(list(structure(list(Key = structure(logical(0), tags = list(type = "string")), Value = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$tag_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$untag_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ResourceArn = structure(logical(0), tags = list(type = "string")), TagKeys = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$untag_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$update_active_model_version_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelVersion = structure(logical(0), tags = list(type = "long"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$update_active_model_version_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(ModelName = structure(logical(0), tags = list(type = "string")), ModelArn = structure(logical(0), tags = list(type = "string")), CurrentActiveVersion = structure(logical(0), tags = list(type = "long")), PreviousActiveVersion = structure(logical(0), tags = list(type = "long")), CurrentActiveVersionArn = structure(logical(0), tags = list(type = "string")), PreviousActiveVersionArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$update_inference_scheduler_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(InferenceSchedulerName = structure(logical(0), tags = list(type = "string")), DataDelayOffsetInMinutes = structure(logical(0), tags = list(type = "long")), DataUploadFrequency = structure(logical(0), tags = list(type = "string")), DataInputConfiguration = structure(list(S3InputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), InputTimeZoneOffset = structure(logical(0), tags = list(type = "string")), InferenceInputNameConfiguration = structure(list(TimestampFormat = structure(logical(0), tags = list(type = "string")), ComponentTimestampDelimiter = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "structure")), DataOutputConfiguration = structure(list(S3OutputConfiguration = structure(list(Bucket = structure(logical(0), tags = list(type = "string")), Prefix = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), KmsKeyId = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), RoleArn = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$update_inference_scheduler_output <- function(...) {
  list()
}

.lookoutequipment$update_label_group_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(LabelGroupName = structure(logical(0), tags = list(type = "string")), FaultCodes = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.lookoutequipment$update_label_group_output <- function(...) {
  list()
}

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paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.