Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel
Returns an MLModel that includes detailed metadata, data source
information, and the current status of the MLModel.
get_ml_model provides results in
normal or verbose format.
machinelearning_get_ml_model(MLModelId, Verbose)
MLModelId |
[required] The ID assigned to the |
Verbose |
Specifies whether the If true, If false, |
A list with the following syntax:
list(
MLModelId = "string",
TrainingDataSourceId = "string",
CreatedByIamUser = "string",
CreatedAt = as.POSIXct(
"2015-01-01"
),
LastUpdatedAt = as.POSIXct(
"2015-01-01"
),
Name = "string",
Status = "PENDING"|"INPROGRESS"|"FAILED"|"COMPLETED"|"DELETED",
SizeInBytes = 123,
EndpointInfo = list(
PeakRequestsPerSecond = 123,
CreatedAt = as.POSIXct(
"2015-01-01"
),
EndpointUrl = "string",
EndpointStatus = "NONE"|"READY"|"UPDATING"|"FAILED"
),
TrainingParameters = list(
"string"
),
InputDataLocationS3 = "string",
MLModelType = "REGRESSION"|"BINARY"|"MULTICLASS",
ScoreThreshold = 123.0,
ScoreThresholdLastUpdatedAt = as.POSIXct(
"2015-01-01"
),
LogUri = "string",
Message = "string",
ComputeTime = 123,
FinishedAt = as.POSIXct(
"2015-01-01"
),
StartedAt = as.POSIXct(
"2015-01-01"
),
Recipe = "string",
Schema = "string"
)svc$get_ml_model( MLModelId = "string", Verbose = TRUE|FALSE )
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