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Last change
on this file since 1140 was
1139,
checked in by Maciej Komosinski, 4 years ago
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Added --debug mode that prints names of steps; final multiple evaluation now evaluates genotypes in hall of fame instead of the last population
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File size:
867 bytes
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| Rev | Line | |
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| [1113] | 1 | import Levenshtein as lev |
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| 2 | |
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| 3 | from evolalg.dissimilarity.dissimilarity import Dissimilarity |
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| 4 | |
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| 5 | |
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| 6 | class LevenshteinDissimilarity(Dissimilarity): |
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| 7 | def __init__(self, reduction="mean", output_field="dissim", *args, **kwargs): |
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| 8 | super(LevenshteinDissimilarity, self).__init__(reduction, output_field, *args, **kwargs) |
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| 9 | |
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| 10 | def call(self, population): |
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| [1139] | 11 | super(LevenshteinDissimilarity, self).call(population) |
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| [1113] | 12 | if len(population) == 0: |
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| 13 | return [] |
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| 14 | dissim = [] |
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| 15 | for i, p in enumerate(population): |
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| 16 | gen_dis = [] |
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| 17 | for i2, p2 in enumerate(population): |
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| 18 | gen_dis.append(lev.distance(p.genotype, p2.genotype)) |
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| 19 | dissim.append(gen_dis) |
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| 20 | dissim = self.reduce(dissim) |
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| 21 | for d, ind in zip(dissim, population): |
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| 22 | setattr(ind, self.output_field, d) |
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| 23 | return population |
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