com.datumbox.framework.core.machinelearning.common.interfaces

Interface ValidationMetrics

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

AbstractMetrics, ClassificationMetrics, ClusteringMetrics, LinearRegressionMetrics, RecommendationMetrics

public interface ValidationMetrics
extends java.io.Serializable

Interface for every Metrics class in the framework.

Method Summary

Modifier and Type	Method and Description
static <VM extends ValidationMetrics> VM	newInstance(java.lang.Class<VM> vmClass) Creates a new empty Validation Metrics object.
static <VM extends ValidationMetrics> VM	newInstance(java.lang.Class<VM> vmClass, Dataframe predictedData) Estimates the Validation Metrics object from predictions.
static <VM extends ValidationMetrics> VM	newInstance(java.lang.Class<VM> vmClass, java.util.List<VM> validationMetricsList) Estimates the average Validation Metrics object from a list of metrics.

Method Detail

newInstance

static <VM extends ValidationMetrics> VM newInstance(java.lang.Class<VM> vmClass)

Creates a new empty Validation Metrics object.

Returns:

newInstance

static <VM extends ValidationMetrics> VM newInstance(java.lang.Class<VM> vmClass,
                                                     Dataframe predictedData)

Estimates the Validation Metrics object from predictions.

Type Parameters:

VM -

Parameters:

vmClass -

predictedData -

Returns:

newInstance

static <VM extends ValidationMetrics> VM newInstance(java.lang.Class<VM> vmClass,
                                                     java.util.List<VM> validationMetricsList)

Estimates the average Validation Metrics object from a list of metrics.

Type Parameters:

VM -

Parameters:

vmClass -

validationMetricsList -

Returns: