def do_work_ga(self, item):
output = pd.DataFrame(self.population[item].genes)
output.columns = ['Split']
dataSplit = pd.concat([self.data, output], axis=1)
f1 = []
results = []
for i in range(self.nclusters):
dataSplited = (dataSplit.loc[dataSplit['Split']
== i]).drop('Split', axis=1)
dataSplited.index = range(len(dataSplited))
try:
results.append(PyLSpm(dataSplited, self.LVcsv, self.Mcsv, self.scheme,
self.reg, 0, 50, HOC='true'))
resid = results[i].residuals()[3]
f1.append(resid)
except:
f1.append(10000)
print((1 / np.sum(f1)))
return (1 / np.sum(f1))
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