View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics (google_api_ai_platform v0.24.0)

Metrics for regression evaluation results.

Attributes

  • meanAbsoluteError (type: number(), default: nil) - Mean Absolute Error (MAE).
  • meanAbsolutePercentageError (type: number(), default: nil) - Mean absolute percentage error. Infinity when there are zeros in the ground truth.
  • rSquared (type: number(), default: nil) - Coefficient of determination as Pearson correlation coefficient. Undefined when ground truth or predictions are constant or near constant.
  • rootMeanSquaredError (type: number(), default: nil) - Root Mean Squared Error (RMSE).
  • rootMeanSquaredLogError (type: number(), default: nil) - Root mean squared log error. Undefined when there are negative ground truth values or predictions.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics{
    meanAbsoluteError: number() | nil,
    meanAbsolutePercentageError: number() | nil,
    rSquared: number() | nil,
    rootMeanSquaredError: number() | nil,
    rootMeanSquaredLogError: number() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.