jlizier 19f2c5abbc Performance tweaks for TE Discrete, which should make a difference when the state space is large in comparison to the number of samples.		2017-08-28 00:36:24 +10:00
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source/infodynamics	Performance tweaks for TE Discrete, which should make a difference when the state space is large in comparison to the number of samples.	2017-08-28 00:36:24 +10:00
unittests/infodynamics	Adding new methods computePValueForGivenEstimate() and computeEstimateForGivenPValue to AnalyticMeasurementDistribution and implementing in ChiSquareMeasurementDistribution. Involves importing (and refactoring) a significantly larger chunk of commons.maths3 classes (and updating existing ones to latest 3.6.1 version for consistency). Also addresses issue #23 in changing the actual value of the ChiSquareMeasurementDistribution to be that of the information theoretic measurement rather than 2*N times it (which was the value that is actually chi squared distributed), which also necessitates changes to the Discrete and Gaussian calculators computeSignificance() methods.	2017-06-14 11:09:01 +10:00