Public Member Functions | |
double | getResult () |
MeanSquaredError (BasicSampledDistribution refDist) | |
void | process (int varIdx, int domIdx, double p1, double p2) |
Package Attributes | |
int | cnt = 0 |
double | sum = 0.0 |
Definition at line 222 of file BasicSampledDistribution.java.
edu::tum::cs::inference::BasicSampledDistribution::MeanSquaredError::MeanSquaredError | ( | BasicSampledDistribution | refDist | ) | [inline] |
Definition at line 224 of file BasicSampledDistribution.java.
double edu::tum::cs::inference::BasicSampledDistribution::MeanSquaredError::getResult | ( | ) | [inline, virtual] |
Implements edu::tum::cs::inference::BasicSampledDistribution::DistributionEntryComparison.
Definition at line 235 of file BasicSampledDistribution.java.
void edu::tum::cs::inference::BasicSampledDistribution::MeanSquaredError::process | ( | int | varIdx, | |
int | domIdx, | |||
double | p1, | |||
double | p2 | |||
) | [inline, virtual] |
Implements edu::tum::cs::inference::BasicSampledDistribution::DistributionEntryComparison.
Definition at line 228 of file BasicSampledDistribution.java.
int edu::tum::cs::inference::BasicSampledDistribution::MeanSquaredError::cnt = 0 [package] |
Definition at line 223 of file BasicSampledDistribution.java.
double edu::tum::cs::inference::BasicSampledDistribution::MeanSquaredError::sum = 0.0 [package] |
Definition at line 223 of file BasicSampledDistribution.java.