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Improvements on hyperparam.Evolutive

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This commit is contained in:
Petrônio Cândido 2019-03-20 13:25:54 -03:00
parent 6fd161468b
commit 99b0203389
1 changed files with 5 additions and 5 deletions
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pyFTS/hyperparam/Evolutionary.py
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@ -376,7 +376,7 @@ def GeneticAlgorithm(dataset, **kwargs):
if distributed == 'dispy':
cluster = kwargs.pop('cluster', None)
collect_statistics = kwargs.get('collect_statistics', False)
collect_statistics = kwargs.get('collect_statistics', True)
no_improvement_count = 0
@ -454,7 +454,7 @@ def GeneticAlgorithm(dataset, **kwargs):
if job.status == dispy.DispyJob.Finished and result is not None:
for key in __measures:
new_population[job.id][key] = result[key]
if collect_statistics: stats[key].append(ret[key])
if collect_statistics: stats[key].append(result[key])
else:
print(job.exception)
print(job.stdout)
@ -535,7 +535,7 @@ def execute(datasetname, dataset, **kwargs):
kwargs['cluster'] = cluster
ret = []
for i in range(experiments):
for i in np.arange(experiments):
print("Experiment {}".format(i))
start = time.time()
@ -546,8 +546,8 @@ def execute(datasetname, dataset, **kwargs):
ret = process_experiment(experiment, datasetname, conn)
if distributed == 'dispy':
dUtil.stop_dispy_cluster(cluster, http_server)
if distributed == 'dispy':
dUtil.stop_dispy_cluster(cluster, http_server)
return ret