mirror of https://github.com/jlizier/jidt
Bug fix to computeSignificance() of ConditionalMutualInformationCalculator
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@ -259,7 +259,7 @@ public class ConditionalMutualInformationCalculator extends InfoMeasureCalculato
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/**
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* Compute the significance of obtaining the given average from the given observations,
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* assuming that the temporal relationship between variable1 and variable2-conditional
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* was detroyed, while variable2-conditional relationship was retained.
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* was destroyed, while variable2-conditional relationship was retained.
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*
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* @param numPermutationsToCheck number of new orderings of the variable1 to compare against
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* @return
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@ -275,6 +275,10 @@ public class ConditionalMutualInformationCalculator extends InfoMeasureCalculato
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* assuming that the temporal relationship between variable1 and variable2-conditional
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* was detroyed, while variable2-conditional relationship was retained.
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*
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* TODO Need to alter the method signature to allow callers to specify
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* which variable is shuffled. (Note to self: when doing this, will
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* need to update machine learning code to the new method signature)
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*
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* @param newOrderings the reorderings for variable1 to use
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* @return
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*/
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@ -291,7 +295,7 @@ public class ConditionalMutualInformationCalculator extends InfoMeasureCalculato
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int t_s = 0;
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for (int val1 = 0; val1 < base1; val1++) {
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for (int val2 = 0; val2 < base2; val2++) {
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for (int condVal = 0; condVal < condBase; condBase++) {
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for (int condVal = 0; condVal < condBase; condVal++) {
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int numberOfSamples = firstSecondCondCount[val1][val2][condVal];
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MatrixUtils.fill(var1Values, val1, t_s, numberOfSamples);
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MatrixUtils.fill(var2Values, val2, t_s, numberOfSamples);
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