Closed kahaaga closed 5 months ago
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As discussed in #384.
BubbleSortSwaps
outcome space, which when used to encode data, first embeds the data, then counts for each state vector the number of swaps necessary for the bubble sort algorithm to sort it.BubbleSortSwapsEncoding
, which takes care of the actual encoding.codify
, which usesBubbleSortSwapsEncoding
and is used internally byBubbleSortSwaps
.BubbleEntropy <: ComplexityEstimator
, which implements bothcomplexity
andcomplexity_normalized
, and computes a (normalized) difference between entropies for dimensionsm + 1
andm
. In the original paper, Renyi entropy of orderq = 2
was used, but thanks toinformation_maximum
, we can use anyInformationMeasure
.