com.datumbox.framework.core.machinelearning.modelselection.metrics
Class RecommendationMetrics
- java.lang.Object
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- com.datumbox.framework.core.machinelearning.common.abstracts.modelselection.AbstractMetrics
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- com.datumbox.framework.core.machinelearning.modelselection.metrics.RecommendationMetrics
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- All Implemented Interfaces:
- ValidationMetrics, java.io.Serializable
public class RecommendationMetrics extends AbstractMetrics
Estimates RMSE for Recommendation models.- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor and Description RecommendationMetrics(Dataframe predictedData)RecommendationMetrics(java.util.List<RecommendationMetrics> validationMetricsList)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description doublegetRMSE()Getter for RMSE.java.lang.StringtoString()-
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.ValidationMetrics
newInstance, newInstance, newInstance
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Constructor Detail
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RecommendationMetrics
public RecommendationMetrics(Dataframe predictedData)
- Parameters:
predictedData-- See Also:
AbstractMetrics.AbstractMetrics(Dataframe)
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RecommendationMetrics
public RecommendationMetrics(java.util.List<RecommendationMetrics> validationMetricsList)
- Parameters:
validationMetricsList-- See Also:
AbstractMetrics.AbstractMetrics(List)
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