List Models
lookoutequipment_list_models | R Documentation |
Generates a list of all models in the account, including model name and ARN, dataset, and status¶
Description¶
Generates a list of all models in the account, including model name and ARN, dataset, and status.
Usage¶
lookoutequipment_list_models(NextToken, MaxResults, Status,
ModelNameBeginsWith, DatasetNameBeginsWith)
Arguments¶
NextToken |
An opaque pagination token indicating where to continue the listing of machine learning models. |
MaxResults |
Specifies the maximum number of machine learning models to list. |
Status |
The status of the machine learning model. |
ModelNameBeginsWith |
The beginning of the name of the machine learning models being listed. |
DatasetNameBeginsWith |
The beginning of the name of the dataset of the machine learning models to be listed. |
Value¶
A list with the following syntax:
list(
NextToken = "string",
ModelSummaries = list(
list(
ModelName = "string",
ModelArn = "string",
DatasetName = "string",
DatasetArn = "string",
Status = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS",
CreatedAt = as.POSIXct(
"2015-01-01"
),
ActiveModelVersion = 123,
ActiveModelVersionArn = "string",
LatestScheduledRetrainingStatus = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS"|"CANCELED",
LatestScheduledRetrainingModelVersion = 123,
LatestScheduledRetrainingStartTime = as.POSIXct(
"2015-01-01"
),
NextScheduledRetrainingStartDate = as.POSIXct(
"2015-01-01"
),
RetrainingSchedulerStatus = "PENDING"|"RUNNING"|"STOPPING"|"STOPPED",
ModelDiagnosticsOutputConfiguration = list(
S3OutputConfiguration = list(
Bucket = "string",
Prefix = "string"
),
KmsKeyId = "string"
),
ModelQuality = "QUALITY_THRESHOLD_MET"|"CANNOT_DETERMINE_QUALITY"|"POOR_QUALITY_DETECTED"
)
)
)
Request syntax¶
svc$list_models(
NextToken = "string",
MaxResults = 123,
Status = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS",
ModelNameBeginsWith = "string",
DatasetNameBeginsWith = "string"
)