AWS SDK for Go (PILOT)
API Reference

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PerformanceMetrics

import "github.com/aws/aws-sdk-go/service/machinelearning"

type PerformanceMetrics struct { Properties map[string]*string `type:"map"` }

Measurements of how well the MLModel performed on known observations. One of the following metrics is returned, based on the type of the MLModel:

  • BinaryAUC: The binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.

  • RegressionRMSE: The regression MLModel uses the Root Mean Square Error

(RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.
  • MulticlassAvgFScore: The multiclass MLModel uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide (https://docs.aws.amazon.com/machine-learning/latest/dg).

Properties

Type: map[string]*string

Method

GoString

func (s PerformanceMetrics) GoString() string

GoString returns the string representation

SetProperties

func (s *PerformanceMetrics) SetProperties(v map[string]*string) *PerformanceMetrics

SetProperties sets the Properties field's value.

String

func (s PerformanceMetrics) String() string

String returns the string representation

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