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Random Search in hyperparam

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This commit is contained in:
Petrônio Cândido 2019-12-26 08:05:35 -03:00
parent ad1205121d
commit 87a50c1342
3 changed files with 20 additions and 18 deletions
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30
pyFTS/hyperparam/mvfts.py
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@ -365,42 +365,46 @@ def mutation_random_search(individual, **kwargs):
:param pmut: individual probability o :param pmut: individual probability o
:return: :return:
""" """
import copy
new = copy.deepcopy(individual)
vars = kwargs.get('variables', None) vars = kwargs.get('variables', None)
tvar = kwargs.get('target_variable', None) tvar = kwargs.get('target_variable', None)
l = len(vars) l = len(vars)
il = len(individual['explanatory_variables']) il = len(new['explanatory_variables'])
# #
if il > 1: if il > 1:
for l in range(il): for l in range(il):
il = len(individual['explanatory_variables']) il = len(new['explanatory_variables'])
rnd = random.uniform(0, 1) rnd = random.uniform(0, 1)
if rnd > .5: if rnd > .5:
rnd = random.randint(0, il-1) rnd = random.randint(0, il-1)
if rnd < il and il > 1:
val = individual['explanatory_variables'][rnd] val = individual['explanatory_variables'][rnd]
individual['explanatory_variables'].remove(val) new['explanatory_variables'].remove(val)
individual['explanatory_params'].pop(rnd) new['explanatory_params'].pop(rnd)
else: else:
rnd = random.randint(0, l-1) rnd = random.randint(0, l-1)
while rnd in individual['explanatory_variables']: while rnd in new['explanatory_variables']:
rnd = random.randint(0, l-1) rnd = random.randint(0, l-1)
individual['explanatory_variables'].append(rnd) new['explanatory_variables'].append(rnd)
individual['explanatory_params'].append(random_param(vars[rnd])) new['explanatory_params'].append(random_param(vars[rnd]))
for ct in np.arange(len(individual['explanatory_variables'])): for ct in np.arange(len(new['explanatory_variables'])):
rnd = random.uniform(0, 1) rnd = random.uniform(0, 1)
if rnd > .5: if rnd > .5:
mutate_variable_params(individual['explanatory_params'][ct], vars[ct]) mutate_variable_params(new['explanatory_params'][ct], vars[ct])
rnd = random.uniform(0, 1) rnd = random.uniform(0, 1)
if rnd > .5: if rnd > .5:
mutate_variable_params(individual['target_params'], tvar) mutate_variable_params(new['target_params'], tvar)
individual['f1'] = None new['f1'] = None
individual['f2'] = None new['f2'] = None
return individual return new
def mutate_variable_params(param, var): def mutate_variable_params(param, var):

4
pyFTS/hyperparam/random_search.py
View File

@ -66,9 +66,7 @@ def execute( dataset, **kwargs):
new[key] = ret[key] new[key] = ret[key]
new_stat[key] = ret[key] new_stat[key] = ret[key]
print(new) if new['f1'] < individual['f1'] or (new['f1'] == individual['f1'] and new['f2'] < individual['f2']):
if new['f1'] <= individual['f1'] and new['f2'] <= individual['f2']:
individual = new individual = new
no_improvement_count = 0 no_improvement_count = 0
stat[i] = new_stat stat[i] = new_stat

2
pyFTS/tests/hyperparam.py
View File

@ -58,7 +58,7 @@ target_variable = {'name': 'Load', 'data_label': 'load', 'type': 'common'}
nodes=['192.168.28.38'] nodes=['192.168.28.38']
deho_mv.random_search(datsetname, dataset, deho_mv.random_search(datsetname, dataset,
ngen=200, mgen=200, ngen=200, mgen=70,
window_size=2000, train_rate=.9, increment_rate=1, window_size=2000, train_rate=.9, increment_rate=1,
experiments=1, experiments=1,
fts_method=wmvfts.WeightedMVFTS, fts_method=wmvfts.WeightedMVFTS,