Package | Description |
---|---|
com.google.api.services.language.v2.model |
Modifier and Type | Method and Description |
---|---|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.clone() |
XPSRegressionEvaluationMetrics |
XPSEvaluationMetrics.getRegressionEvalMetrics() |
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.set(String fieldName,
Object value) |
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setMeanAbsoluteError(Float meanAbsoluteError)
Mean Absolute Error (MAE).
|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setMeanAbsolutePercentageError(Float meanAbsolutePercentageError)
Mean absolute percentage error.
|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setRegressionMetricsEntries(List<XPSRegressionMetricsEntry> regressionMetricsEntries)
A list of actual versus predicted points for the model being evaluated.
|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setRootMeanSquaredError(Float rootMeanSquaredError)
Root Mean Squared Error (RMSE).
|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setRootMeanSquaredLogError(Float rootMeanSquaredLogError)
Root mean squared log error.
|
XPSRegressionEvaluationMetrics |
XPSRegressionEvaluationMetrics.setRSquared(Float rSquared)
R squared.
|
Modifier and Type | Method and Description |
---|---|
XPSEvaluationMetrics |
XPSEvaluationMetrics.setRegressionEvalMetrics(XPSRegressionEvaluationMetrics regressionEvalMetrics) |
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