MetricDatum - Amazon SageMaker (original) (raw)

Information about the metric for a candidate produced by an AutoML job.

Contents

MetricName

The name of the metric.

Type: String

Valid Values: Accuracy | MSE | F1 | F1macro | AUC | RMSE | BalancedAccuracy | R2 | Recall | RecallMacro | Precision | PrecisionMacro | MAE | MAPE | MASE | WAPE | AverageWeightedQuantileLoss

Required: No

Set

The dataset split from which the AutoML job produced the metric.

Type: String

Valid Values: Train | Validation | Test

Required: No

StandardMetricName

The name of the standard metric.

Type: String

Valid Values: Accuracy | MSE | F1 | F1macro | AUC | RMSE | MAE | R2 | BalancedAccuracy | Precision | PrecisionMacro | Recall | RecallMacro | LogLoss | InferenceLatency | MAPE | MASE | WAPE | AverageWeightedQuantileLoss | Rouge1 | Rouge2 | RougeL | RougeLSum | Perplexity | ValidationLoss | TrainingLoss

Required: No

Value

The value of the metric.

Type: Float

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

• AWS SDK for C++
• AWS SDK for Java V2
• AWS SDK for Ruby V3

MetricData

MetricDefinition

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