def run_features(self, database, npz_type):
print('Features Iuri Claro (recarga_lag_plano)...'
) #OK#ok features_iuri.py
try:
loaded = np.load('{}_features_iuri_vm.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri_vm.npz'.format(npz_type),
x=x,
y=y)
'''Features Especificas da CLARO!!!
print('Features Iuri lag Claro (recharge_claro)...') # ok features_recarga_claro_iuri_1.py
try:
loaded = np.load('{}_features_iuri_lag_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisFeaturesIuriLag(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_iuri_lag_vm.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga...') #NOVAS FEATURES!!!
try:
loaded = np.load('{}_features_recarga_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRecharge(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga_vm.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos clientes...') #ok client_services.py
try:
loaded = np.load('{}_features_servico_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdoCliente(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_servico_clientes_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
'''
print(
'Features Recarga com lag, media, desvio (recharge_lagmeddesv) ...'
) #OK #ok mundiale_features/features/claro_mig/features_recarga_lag_vivo.py
try:
loaded = np.load(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeLagVivo(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga Intervalos (recharge_interval)...'
) #OK#ok features_recarga_intervalos_temp.py
try:
loaded = np.load(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos Recarga (recarga)...'
) #OK#ok features/all_datasets/client_recargaserv.py
try:
loaded = np.load(
'{}_features_servico_recarga_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_recarga_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Mailing...') #OK features/all_datasets/mailing.py
try:
loaded = np.load('{}_features_mailing_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Mes...') #OK#ok dia_mes.py
try:
loaded = np.load('{}_features_dia_mes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Semana...') #OK#ok dia_semana.py
try:
loaded = np.load('{}_features_dia_semana_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_dia_semana_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print(
'Features Clientes (localizacao) ...'
) #OK#ok ~/mundiale_features/features/all_datasets/features_clientes.py
try:
loaded = np.load('{}_features_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Ligacoes Clientes (qtdcalls)...'
) #OK#ok features_ligacoes_clientes.py
try:
loaded = np.load(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Hora...') #OK#ok hora.py
try:
loaded = np.load('{}_features_hora_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Idade (idade) ...'
) #OK ~/mundiale_features/features/all_datasets/vivo_idade.py
try:
loaded = np.load('{}_features_vivo_idade_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesIdade(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_vivo_idade_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
return y, x
def run_features(self, database, npz_type):
print('Features Iuri Claro...')
try:
loaded = np.load('{}_features_iuri.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri.npz'.format(npz_type),
x=x,
y=y)
print('Features Iuri lag Claro...')
try:
loaded = np.load('{}_features_iuri_lag.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisFeaturesIuriLag(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_iuri_lag.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga...')
try:
loaded = np.load('{}_features_recarga.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRecharge(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga Intervalos...')
try:
loaded = np.load(
'{}_features_recarga_intervalos.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_intervalos.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos Recarga...')
try:
loaded = np.load(
'{}_features_servico_recarga.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_recarga.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Mailing...')
try:
loaded = np.load('{}_features_mailing.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos clientes...')
try:
loaded = np.load(
'{}_features_servico_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdoCliente(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Mes...')
try:
loaded = np.load('{}_features_dia_mes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Semana...')
try:
loaded = np.load('{}_features_dia_semana.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_semana.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Clientes...')
try:
loaded = np.load('{}_features_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Ligacoes Clientes...')
try:
loaded = np.load(
'{}_features_ligacoes_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_ligacoes_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Fidelidade Prezao...')
try:
loaded = np.load(
'{}_features_fidelidade_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeatureFidelidadePrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_fidelidade_prezao.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Hora...')
try:
loaded = np.load('{}_features_hora.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Quantidade Prezao...')
try:
loaded = np.load('{}_features_qtd_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesQtdPrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_qtd_prezao.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Whitelist...')
try:
loaded = np.load('{}_features_whitelist.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesWhitelist(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_whitelist.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
return y, x
def run_features(self, database, npz_type):
individualfeatures={} #dictionary with individual features.
print('Features Iuri Claro (recarga_lag_plano)...') #ok features_iuri.py
try:
loaded=np.load('{}_features_iuri.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri.npz'.format(npz_type), x=x, y=y)
individualfeatures['recargalagplano']=x
print('Features Iuri lag Claro (recharge_claro)...') # ok features_recarga_claro_iuri_1.py
try:
loaded = np.load('{}_features_iuri_lag.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisFeaturesIuriLag(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_iuri_lag.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_claro']=x_comp
# print('Features Recarga...') #NOVAS FEATURES!!!
# try:
# loaded = np.load('{}_features_recarga.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisRecharge(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('{}_features_recarga.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
# print('Features COf. VAR (plans2)...') features_planos_coef_var.py
# try:
# loaded = np.load('{}_features_planos_coef_var.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisCoefVar(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('{}_features_planos_coef_var.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga com lag, media, desvio (recharge_lagmeddesv) ...') #ok mundiale_features/features/claro_mig/features_recarga_lag_vivo.py
try:
loaded = np.load('{}_features_recarga_lag_vivo.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeLagVivo(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga_lag_vivo.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_lagmeddesv']=x_comp
print('Features Recarga Intervalos (recharge_interval)...') #ok features_recarga_intervalos_temp.py
try:
loaded = np.load('{}_features_recarga_intervalos.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga_intervalos.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_interval']=x_comp
print('Features Servicos Recarga (recarga)...') #ok features/all_datasets/client_recargaserv.py
try:
loaded = np.load('{}_features_servico_recarga.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_servico_recarga.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recarga']=x_comp
print('Features Mailing...')
try:
loaded = np.load('{}_features_mailing.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except :
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['mailing']=x_comp
print('Features Servicos clientes...') #ok client_services.py
try:
loaded = np.load('{}_features_servico_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdoCliente(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_servico_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
x_servico_clientes=x_comp
individualfeatures['servico_clientes']=x_comp
print('Features Dia / Mes...') #ok dia_mes.py
try:
loaded = np.load('{}_features_dia_mes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['dia_mes']=x_comp
print('Features Dia / Semana...') #ok dia_semana.py
try:
loaded = np.load('{}_features_dia_semana.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_semana.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['dia_semana']=x_comp
print('Features Clientes (localizacao) ...') #ok ~/mundiale_features/features/all_datasets/features_clientes.py
try:
loaded = np.load('{}_features_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['localizacao']=x_comp
print('Features Ligacoes Clientes (qtdcalls)...') #ok features_ligacoes_clientes.py
try:
loaded = np.load('{}_features_ligacoes_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_ligacoes_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['qtdcalls']=x_comp
print('Features Fidelidade Prezao (fidelidade)...') #ok ~/mundiale_features/features/all_datasets/fidelidade_prezao.py
try:
loaded = np.load('{}_features_fidelidade_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeatureFidelidadePrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_fidelidade_prezao.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['fidelidade']=x_comp
print('Features Hora...') #ok hora.py
try:
loaded=np.load('{}_features_hora.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['hora']=x_comp
print('Features Quantidade Prezao (prezao) ...') #ok ~/mundiale_features/features/all_datasets/qtd_prezao.py
try:
loaded=np.load('{}_features_qtd_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesQtdPrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_qtd_prezao.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['prezao']=x_comp
print('Features Whitelist...') #ok ~/mundiale_features/features/all_datasets/whitelist.py
try:
loaded = np.load('{}_features_whitelist.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesWhitelist(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_whitelist.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['whitelist']=x_comp
individualfeatures['tudo']=x
# individualfeatures=(x_recargalagplano,x_features_iuri_lag,x_recarga_lag_vivo,x_recharge_interval,x_recarga,x_mailing,x_servico_clientes,x_dia_mes,x_dia_semana,x_clientes,x_qtdcalls,x_fidelidade,x_hora,x_prezao,x_whitelist)
return y, individualfeatures
def run_features(self, database, npz_type):
individualfeatures = {} #dictionary with individual features.
print('Features Iuri Vivo (recarga_lag_plano)...'
) #ok features_iuri.py
try:
loaded = np.load('{}_features_iuri_vm.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri_vm.npz'.format(npz_type),
x=x,
y=y)
individualfeatures['recargalagplano'] = x
print('Features Iuri lag Vivo ...'
) # ok features_recarga_claro_iuri_1.py
try:
loaded = np.load('{}_features_iuri_lag_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisFeaturesIuriLag(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_iuri_lag_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_claro'] = x_comp
# print('Features Recarga...') #NOVAS FEATURES!!!
# try:
# loaded = np.load('{}_features_recarga_vm.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisRecharge(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('{}_features_recarga_vm.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
print(
'Features Recarga com lag, media, desvio (recharge_lagmeddesv) ...'
) #ok mundiale_features/features/claro_mig/features_recarga_lag_vivo.py
try:
loaded = np.load(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeLagVivo(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_lagmeddesv'] = x_comp
print('Features Recarga Intervalos (recharge_interval)...'
) #ok features_recarga_intervalos_temp.py
try:
loaded = np.load(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recharge_interval'] = x_comp
print('Features Servicos Recarga (recarga)...'
) #ok features/all_datasets/client_recargaserv.py
try:
loaded = np.load(
'{}_features_servico_recarga_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_recarga_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['recarga'] = x_comp
print('Features Mailing...')
try:
loaded = np.load('{}_features_mailing_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['mailing'] = x_comp
print('Features Servicos clientes...') #ok client_services.py
try:
loaded = np.load(
'{}_features_servico_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdoCliente(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
x_servico_clientes = x_comp
individualfeatures['servico_clientes'] = x_comp
print('Features Dia / Mes...') #ok dia_mes.py
try:
loaded = np.load('{}_features_dia_mes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['dia_mes'] = x_comp
print('Features Dia / Semana...') #ok dia_semana.py
try:
loaded = np.load('{}_features_dia_semana_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_dia_semana_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['dia_semana'] = x_comp
print(
'Features Clientes (localizacao) ...'
) #ok ~/mundiale_features/features/all_datasets/features_clientes.py
try:
loaded = np.load('{}_features_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['localizacao'] = x_comp
print('Features Ligacoes Clientes (qtdcalls)...'
) #ok features_ligacoes_clientes.py
try:
loaded = np.load(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['qtdcalls'] = x_comp
print('Features Hora...') #ok hora.py
try:
loaded = np.load('{}_features_hora_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
individualfeatures['hora'] = x_comp
individualfeatures['tudo'] = x
return y, individualfeatures
def run_features(self,
database,
npz_type,
useplans=True,
usehistoric=True):
print('Features Iuri Claro (recarga_lag_plano)...'
) #OK#ok features_iuri.py
try:
loaded = np.load('{}_features_iuri_vm.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri_vm.npz'.format(npz_type),
x=x,
y=y)
'''features da claro migracao!
# print('Features Iuri lag Claro (recharge_claro)...') # ok features_recarga_claro_iuri_1.py
# try:
# loaded = np.load('../{}_features_iuri_lag_vm.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisFeaturesIuriLag(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('../{}_features_iuri_lag_vm.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
# print('Features Recarga...') #NOVAS FEATURES!!!
# try:
# loaded = np.load('../{}_features_recarga_vm.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisRecharge(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('../{}_features_recarga_vm.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
# print('Features COf. VAR (plans2)...') features_planos_coef_var.py
# try:
# loaded = np.load('../{}_features_planos_coef_var_vm.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = AnalysisCoefVar(database)
# x_comp = analysis.gen_features()
# np.savez_compressed('../{}_features_planos_coef_var_vm.npz'.format(npz_type), x_comp=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
# print('Features Servicos clientes...') #ok client_services.py
# try:
# loaded = np.load('{}_features_servico_clientes_vm.npz'.format(npz_type))
# try:
# x_comp = loaded['x_comp']
# except:
# x_comp = loaded['x']
# x = np.concatenate([x, x_comp], axis=1)
# except:
# print("Generating features...")
# analysis = FeaturesServicosdoCliente(database)
# y_comp, x_comp = analysis.gen_features()
# np.savez_compressed('{}_features_servico_clientes_vm.npz'.format(npz_type), x=x_comp)
# x = np.concatenate([x, x_comp], axis=1)
'''
print(
'Features Recarga com lag, media, desvio (recharge_lagmeddesv) ...'
) #OK #ok mundiale_features/features/claro_mig/features_recarga_lag_vivo.py
try:
loaded = np.load(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeLagVivo(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_lag_vivo_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga Intervalos (recharge_interval)...'
) #OK#ok features_recarga_intervalos_temp.py
try:
loaded = np.load(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_intervalos_vm.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos Recarga (recarga)...'
) #OK#ok features/all_datasets/client_recargaserv.py
try:
loaded = np.load(
'{}_features_servico_recarga_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_recarga_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Mailing...') #OK features/all_datasets/mailing.py
try:
loaded = np.load('{}_features_mailing_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Mes...') #OK#ok dia_mes.py
try:
loaded = np.load('{}_features_dia_mes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Semana...') #OK#ok dia_semana.py
try:
loaded = np.load('{}_features_dia_semana_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_dia_semana_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print(
'Features Clientes (localizacao) ...'
) #OK#ok ~/mundiale_features/features/all_datasets/features_clientes.py
try:
loaded = np.load('{}_features_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Ligacoes Clientes (qtdcalls)...'
) #OK#ok features_ligacoes_clientes.py
try:
loaded = np.load(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_ligacoes_clientes_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Hora...') #OK#ok hora.py
try:
loaded = np.load('{}_features_hora_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora_vm.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Idade (idade) ...'
) #OK ~/mundiale_features/features/all_datasets/vivo_idade.py
try:
loaded = np.load('{}_features_vivo_idade_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesIdade(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_vivo_idade_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
if usehistoric == True:
print('Features Historic...')
try:
loaded = np.load(
'{}_features_historic_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisHistoric(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_historic_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
if useplans == True:
print('Features Coef Var...')
try:
loaded = np.load(
'{}_features_coef_var_vm.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisCoefVar(database, 'files3_vivo_mig')
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_coef_var_vm.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
return y, x
def run_features(self,
database,
npz_type,
useplans=False,
usehistoric=False):
print('Features Iuri Claro...')
try:
loaded = np.load('{}_features_iuri.npz'.format(npz_type))
try:
x = loaded['x_comp']
except:
x = loaded['x']
y = loaded['y']
except:
print("Generating features...")
analysis = AnalysisFeaturesIuri(database)
y, x = analysis.gen_features()
np.savez_compressed('{}_features_iuri.npz'.format(npz_type),
x=x,
y=y)
print('Features Iuri lag Claro...')
try:
loaded = np.load('{}_features_iuri_lag.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisFeaturesIuriLag(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_iuri_lag.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
''' Essas features pioram os resultados
print('Features Recarga com lag, media, desvio (recharge_lagmeddesv) ...')
try:
loaded = np.load('{}_features_recarga_lag_vivo.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeLagVivo(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga_lag_vivo.npz'.format(npz_type), x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
'''
print('Features Recarga...')
try:
loaded = np.load('{}_features_recarga.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRecharge(database)
x_comp = analysis.gen_features()
np.savez_compressed('{}_features_recarga.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Recarga Intervalos...')
try:
loaded = np.load(
'{}_features_recarga_intervalos.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisRechargeTimeIntervals(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_recarga_intervalos.npz'.format(npz_type),
x_comp=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos Recarga...')
try:
loaded = np.load(
'{}_features_servico_recarga.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdeRecarga(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_recarga.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Mailing...')
try:
loaded = np.load('{}_features_mailing.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesMailing(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_mailing.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Servicos clientes...')
try:
loaded = np.load(
'{}_features_servico_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesServicosdoCliente(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_servico_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Mes...')
try:
loaded = np.load('{}_features_dia_mes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaMes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_mes.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Dia / Semana...')
try:
loaded = np.load('{}_features_dia_semana.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesDiaSemana(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_dia_semana.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Clientes...')
try:
loaded = np.load('{}_features_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_clientes.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Ligacoes Clientes...')
try:
loaded = np.load(
'{}_features_ligacoes_clientes.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesLicacoesClientes(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_ligacoes_clientes.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Fidelidade Prezao...')
try:
loaded = np.load(
'{}_features_fidelidade_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeatureFidelidadePrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_fidelidade_prezao.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Hora...')
try:
loaded = np.load('{}_features_hora.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesHora(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_hora.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Quantidade Prezao...')
try:
loaded = np.load('{}_features_qtd_prezao.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesQtdPrezao(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_qtd_prezao.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
print('Features Whitelist...')
try:
loaded = np.load('{}_features_whitelist.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = FeaturesWhitelist(database)
y_comp, x_comp = analysis.gen_features()
np.savez_compressed('{}_features_whitelist.npz'.format(npz_type),
x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
if usehistoric == True:
print('Features Historic...')
try:
loaded = np.load('{}_features_historic.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisHistoric(database)
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_historic.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
if useplans == True:
print('Features Coef Var...')
try:
loaded = np.load('{}_features_coef_var.npz'.format(npz_type))
try:
x_comp = loaded['x_comp']
except:
x_comp = loaded['x']
x = np.concatenate([x, x_comp], axis=1)
except:
print("Generating features...")
analysis = AnalysisCoefVar(database, 'files3_claro_mig')
x_comp = analysis.gen_features()
np.savez_compressed(
'{}_features_coef_var.npz'.format(npz_type), x=x_comp)
x = np.concatenate([x, x_comp], axis=1)
return y, x