Struct rusoto_machinelearning::PerformanceMetrics
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pub struct PerformanceMetrics { pub properties: Option<HashMap<String, String>>, }
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.
Fields
properties: Option<HashMap<String, String>>
Trait Implementations
impl Default for PerformanceMetrics
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fn default() -> PerformanceMetrics
Returns the "default value" for a type. Read more
impl Debug for PerformanceMetrics
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impl Clone for PerformanceMetrics
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fn clone(&self) -> PerformanceMetrics
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
1.0.0
Performs copy-assignment from source
. Read more