def test_replace_population_previous_estopping():
from EvoDAG import RGP
gp = RGP(generations=np.inf,
tournament_size=2,
early_stopping_rounds=-1,
classifier=False,
seed=0,
popsize=3)
gp.X = X
y = cl.copy()
mask = y == 0
y[mask] = 1
y[~mask] = -1
gp.y = y
gp.create_population()
gp.unfeasible_offspring()
es = gp.population.estopping
for i in range(20):
n = gp.random_offspring()
if n.fitness_vs > es.fitness_vs:
break
print(es.fitness_vs, n.fitness_vs, gp._unfeasible_counter)
assert gp._unfeasible_counter >= 1
gp.replace(n)
assert gp.population.previous_estopping
def test_unfeasible_counter():
from EvoDAG import RGP
gp = RGP(generations=np.inf,
tournament_size=2,
early_stopping_rounds=-1,
seed=0,
popsize=100)
assert gp._unfeasible_counter == 0
assert gp.unfeasible_offspring() is None
assert gp._unfeasible_counter == 1
def test_unfeasible_counter():
from EvoDAG import RGP
gp = RGP(generations=np.inf,
tournament_size=2,
early_stopping_rounds=-1,
classifier=False,
seed=0,
popsize=100)
assert gp._unfeasible_counter == 0
assert gp.unfeasible_offspring() is None
assert gp._unfeasible_counter == 1
def test_add():
from EvoDAG import RGP
gp = RGP(generations=np.inf,
tournament_size=2,
early_stopping_rounds=-1,
seed=0,
popsize=3)
gp.X = X
y = cl.copy()
mask = y == 0
y[mask] = 1
y[~mask] = -1
gp.y = y
gp.create_population()
gp.unfeasible_offspring()
es = gp.population.estopping
for i in range(10):
n = gp.random_offspring()
if n.fitness_vs > es.fitness_vs:
break
gp.add(n)
assert gp._unfeasible_counter == 0