Modifying the number of genes in GEP code produces error

[sarmedwahab]

I am using this code for developing an expression in my research, but I have experienced one issue, that I can't change the n_genes to value other than 2.

I havenot modified anything in the code except my data and the parameters of head size and generations.

Please have a look on it, that how can we increase number of genes in this code and what necessary modifications are required in code to make it work.

I have tried using 3 but it throws following error:

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TypeError Traceback (most recent call last)
Cell In[325], line 9
6 hof = tools.HallOfFame(3) # only record the best three individuals ever found in all generations
8 # start evolution
----> 9 pop, log = gep.gep_simple(pop, toolbox, n_generations=n_gen, n_elites=1,
10 stats=stats, hall_of_fame=hof, verbose=True)

File c:\programs\python\python39\lib\site-packages\geppy\algorithms\basic.py:100, in gep_simple(population, toolbox, n_generations, n_elites, stats, hall_of_fame, verbose)
98 invalid_individuals = [ind for ind in population if not ind.fitness.valid]
99 fitnesses = toolbox.map(toolbox.evaluate, invalid_individuals)
--> 100 for ind, fit in zip(invalid_individuals, fitnesses):
101 ind.fitness.values = fit
103 # record statistics and log

Cell In[321], line 5, in evaluate_linear_scaling(individual)
2 """Evaluate the fitness of an individual with linearly scaled MSE.
3 Get a and b by minimizing (a*Yp + b - Y)"""
4 func = toolbox.compile(individual)
----> 5 Yp = np.array(list(map(func, bc, fc, ef, tf, bf, lf)))
7 # special cases: (1) individual has only a terminal
8 # (2) individual returns the same value for all test cases, like 'x - x + 10'. np.linalg.lstsq will fail in such cases.
10 if isinstance(Yp, np.ndarray):

File c:\programs\python\python39\lib\site-packages\geppy\tools\parser.py:50, in compile_..(*x)
48 else:
49 return lambda *x: tuple((f(*x) for f in fs))
---> 50 return lambda x: linker((f(*x) for f in fs))

TypeError: add expected 2 arguments, got 3