f.write('\n'.join(self.actives).encode(self.ira.syscoding))
class SimiFromCluster(SimiTxt) :
- def __init__(self, ira, corpus, actives, numcluster, parametres = None, dlg = False) :
+ def __init__(self, ira, corpus, actives, lfreq, lchi, numcluster, parametres = None, dlg = False) :
self.actives = actives
self.numcluster = numcluster
+ self.lfreq = lfreq
+ self.lchi = lchi
parametres['name'] = 'simi_classe_%i' % (numcluster + 1)
SimiTxt.__init__(self, ira, corpus, parametres, dlg, lemdial = False)
self.corpus.make_and_write_sparse_matrix_from_classe(self.actives, self.corpus.lc[self.numcluster], self.pathout['mat01.csv'])
with open(self.pathout['actives.csv'], 'w') as f :
f.write('\n'.join(self.actives).encode(self.ira.syscoding))
+ with open(self.pathout['actives_nb.csv'], 'w') as f :
+ f.write('\n'.join([`val` for val in self.lfreq]))
+ with open(self.pathout['actives_chi.csv'], 'w') as f :
+ f.write('\n'.join([`val` for val in self.lchi]))
+