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See:
Description
Class Summary | |
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Arithmetic | |
Beta | |
Binomial | |
ChiSquared | |
Comparative | Comparative allows comparison operations using if-then. |
Exponential | |
ExpressionParser | This is a Minerva-specific parser that encapsulates various data and behaviour common throughout the NPT generation process. |
ExtremeValue | |
Function | |
Gamma | |
Geometric | |
Hypergeometric | |
Logistic | |
LogNormal | |
NegativeBinomial | |
Normal | Example use of NPT Generator with Normal Function is as follows for a Given net with parents p1,p2 and p3 of a node named "child": ExtendedBN ebn = (ExtendedBN) this.currentModel.getExtendedBNList().getExtendedBNs().get(0); List possibileNodes = ebn.getExtendedNodes("child"); ContinuousIntervalEN enode = (ContinuousIntervalEN)possibileNodes.get(0); // Upto here we are just getting the Interval Node with name "child" // Now define a Normal on this node with the ExtendedBN and the equation for mean // and variance using the parents names. |
NPTGenerator | This class holds a list of functions for generating an NPT for a node. |
Poisson | |
ProbabilityCalculator | Temporary Class used to test various Probability Distibution Calculators using the Colt API. |
Student | |
TNormal | |
Triangle | |
Uniform | |
Weibull |
Exception Summary | |
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IntContParseException | This Exception is specific to the IntCont function. |
NPTGeneratorException | |
NPTGeneratorInsufficientStateRangeException |
This package contains classes that can be used for generating NPTs from standard statistical functions and mathematical expressions (e.g. Beta, Binomial, ChiSquared, Gamma etc.). The Function class provides the necessary static methods for generating NPTs.
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