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stall count changes #20

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merged 3 commits into from
Jun 9, 2017
Merged

stall count changes #20

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142c2e3
stall count changes
Jun 7, 2017
9a29eb1
syntax bug fix
Jun 8, 2017
de4509b
fixed vug
Jun 9, 2017
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14 changes: 13 additions & 1 deletion few/few.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ def __init__(self, population_size=50, generations=100,
mutation_rate=0.5, crossover_rate=0.5,
ml = None, min_depth = 1, max_depth = 2, max_depth_init = 2,
sel = 'epsilon_lexicase', tourn_size = 2, fit_choice = None,
op_weight = False, seed_with_ml = True, erc = False,
op_weight = False, max_stall=10, seed_with_ml = True, erc = False,
random_state=np.random.randint(9999999), verbosity=0,
scoring_function=None, disable_update_check=False,
elitism=True, boolean = False,classification=False,clean=False,
Expand Down Expand Up @@ -90,6 +90,7 @@ def __init__(self, population_size=50, generations=100,
self.tourn_size = tourn_size
self.fit_choice = fit_choice
self.op_weight = op_weight
self.max_stall = max_stall
self.seed_with_ml = seed_with_ml
self.erc = erc
self.random_state = random_state
Expand Down Expand Up @@ -272,8 +273,11 @@ def fit(self, features, labels):
# progress bar
pbar = tqdm(total=self.generations,disable = self.verbosity==0,
desc='Internal CV: {:1.3f}'.format(self._best_score))
stall_count = 0
# for each generation g
for g in np.arange(self.generations):
if stall_count == self.max_stall:
break;

if self.track_diversity:
self.get_diversity(self.X)
Expand Down Expand Up @@ -344,9 +348,12 @@ def fit(self, features, labels):
if self.valid_loc() and tmp_score > self._best_score:
self._best_estimator = copy.deepcopy(self.ml)
self._best_score = tmp_score
stall_count = 0;
self._best_inds = copy.deepcopy(self.valid())
if self.verbosity > 1:
print("updated best internal CV:",self._best_score)
else:
stall_count = stall_count + 1

# Variation
if self.verbosity > 2:
Expand Down Expand Up @@ -808,6 +815,10 @@ def main():
type=bool, help='Weight attributes for incuded in'
' features based on ML scores. Default: off')

parser.add_argument('-ms', action='store', dest='MAX_STALL',default=10,
help='The number of iterations to do when the best'
' score is not improving before taking the best score value')

parser.add_argument('-sel', action='store', dest='SEL',
default='epsilon_lexicase',
choices = ['tournament','lexicase','epsilon_lexicase',
Expand Down Expand Up @@ -928,6 +939,7 @@ def main():
min_depth = args.MIN_DEPTH,max_depth = args.MAX_DEPTH,
sel = args.SEL, tourn_size = args.TOURN_SIZE,
seed_with_ml = args.SEED_WITH_ML, op_weight = args.OP_WEIGHT,
max_stall = args.MAX_STALL,
erc = args.ERC, random_state=args.RANDOM_STATE,
verbosity=args.VERBOSITY,
disable_update_check=args.DISABLE_UPDATE_CHECK,
Expand Down