January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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The Statistics object
The first change we will make is in the way statistics are being gathered. To this end, we will now take advantage of the tools.Statistics class provided by DEAP. This utility enables us to create a statistics object using a key argument, which is a function that will be applied to the data on which the statistics are computed:
- Since the data we plan to provide is be the population of each generation, we set the key function to one that extracts the fitness value(s) from each individual:
stats = tools.Statistics(lambda ind: ind.fitness.values)
- We can now register various functions that can be applied to these values at each step. In our example, we only use the max and mean NumPy functions, but others (such as min ...
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