Serialized Form


Package weka.filters.supervised.instance

Class weka.filters.supervised.instance.DistributionBasedBalance extends weka.filters.Filter implements Serializable

serialVersionUID: -1542684266954712587L

Serialized Fields

m_balanceType

int m_balanceType
distribution to learn in order to re-sample new instances


m_P

int m_P
number P of instances to re-sample per class label


m_allowNegativeValues

boolean m_allowNegativeValues
indicate if negative values are to be sampled. if false, sampled values are 0 as minimum


m_seed

int m_seed
seed use for numbers generation


m_allowPoissonApproximation

boolean m_allowPoissonApproximation
indicates if sampling from a poisson distribution can be using an approximate way which reduces the sampling time and gets similar sampled values


m_labelsRange

weka.core.Range m_labelsRange
range of selected label indexes to balance


m_statisticsTime_ms

double m_statisticsTime_ms
stores the time spent (milliseconds) in learning the distribution


m_samplingTime_ms

double m_samplingTime_ms
stores the time spent (milliseconds) in sammpling the new instances


m_totalInstancesPerClass

int[] m_totalInstancesPerClass
used when MULTINOMIAL_BALANCE is selected

Class weka.filters.supervised.instance.Resample extends weka.filters.Filter implements Serializable

serialVersionUID: 7079064953548300681L

Serialized Fields

m_SampleSizePercent

double m_SampleSizePercent

m_RandomSeed

int m_RandomSeed

m_BiasToUniformClass

double m_BiasToUniformClass

m_NoReplacement

boolean m_NoReplacement

m_InvertSelection

boolean m_InvertSelection

Class weka.filters.supervised.instance.SMOTE extends weka.filters.Filter implements Serializable

serialVersionUID: -1653880819059250364L

Serialized Fields

m_NearestNeighbors

int m_NearestNeighbors

m_RandomSeed

int m_RandomSeed

m_Percentage

double m_Percentage

m_ClassValueIndex

java.lang.String m_ClassValueIndex

m_DetectMinorityClass

boolean m_DetectMinorityClass

Class weka.filters.supervised.instance.SpreadSubsample extends weka.filters.Filter implements Serializable

serialVersionUID: -3947033795243930016L

Serialized Fields

m_RandomSeed

int m_RandomSeed

m_MaxCount

int m_MaxCount

m_DistributionSpread

double m_DistributionSpread

m_AdjustWeights

boolean m_AdjustWeights

Class weka.filters.supervised.instance.StratifiedRemoveFolds extends weka.filters.Filter implements Serializable

serialVersionUID: -7069148179905814324L

Serialized Fields

m_Inverse

boolean m_Inverse

m_NumFolds

int m_NumFolds

m_Fold

int m_Fold

m_Seed

long m_Seed