Hands-On Genetic Algorithms with Python

Running the genetic algorithm-driven grid search

The last portion of the run describes the genetic algorithm-driven grid search, which is carried out with the same grid parameters. The verbose output of the search starts with a somewhat cryptic printout:

performing Genetic grid search...Types [1, 2, 1] and maxint [9, 9, 1] detected

This printout is referring to the grid we are searching on – a list of 10 integers (n_estimators values), an ndarray of 10 elements (learning_rate values), and a list of two strings (algorithm values), as follows:

• 'Types [1, 2, 1]' refers to the grid types of [list, ndarray, list].
• 'maxint [9, 9, 1]' corresponds to the list/array sizes of [10, 10, 2].

The next printed line refers to the total amount of possible ...