def __init__(self, run_config):
self._run = run_config
self._config = config.Graph()
self._data = data.Data(run_config)
self._db = database.Database()
self._cache = cache.Cache()
self._config_data = config.Data()
def __init__(self):
self.vals = data.Data()
self.db = database.Database()
# Users
self.users_valid = self.vals.get_valid_users()
self.users_sample = self._get_nodes()
self.db.open()
#self.time_start, self.time_end = self.db.get_time_min_max()
self.time_start = 1422289905
self.delta_time = 3600
self.prediction_time = 72 # Time in future to predict
self.network = graph.SocialNetwork(0.1, self.users_valid, weighted=True)
self.network.initialize_nodes(self.users_valid)
self.measures = MeasuresWeightAMIncremental(self.network, self.users_sample)
self.dbconn = sqlite3.connect('db/features.db')
self.dbcursor = self.dbconn.cursor()
generations = int(sys.argv[2])
mutationProb = float(sys.argv[3])
crossoverProb = float(sys.argv[4])
kTournament = int(sys.argv[5])
trainCSVPath = str(sys.argv[6])
testCSVPath = str(sys.argv[7])
activateRandomSeed = bool(int(sys.argv[8]))
activateElitism = bool(int(sys.argv[9]))
activateElitistOperators = bool(int(sys.argv[10]))
except:
print(
'You are missing one or more parameters. Execute make help to print the help menu.'
)
sys.exit(1)
dataHolder = data.Data(trainCSVPath, testCSVPath)
fit = fitness.Fitness(dataHolder.train, dataHolder.test)
tour = selection.Tournament(kTournament)
bestInd = best_individual.BestIndividual()
if activateRandomSeed:
np.random.seed(20182)
for generation in range(generations):
print('\n***Generation:', generation + 1, '***')
stats = statistics.Statistics()
# If it's the first generation, generate the initial population
if generation == 0:
population = []
for index in range(0, populationSize):
def __init__(self, run_config):
self._run = run_config
self._config = config.Data()
self._data = data.Data(run_config)
self._db = database.Database()
def _sample_users(self, argv):
dat = data.Data(self._config_run)
count = len(dat.get_sample_users())
print(str(count) + ' sample users generated')
def _valid_users(self, argv):
dat = data.Data(self._config_run)
count = len(dat.get_valid_users())
print(str(count) + ' valid users generated')