def run_osvm_ova(chunks, dataset_name='unnamed_dataset'):
print('OSVM ONE VERSUS ALL: %s' % dataset_name)
printer = Printer(prefix="osvm_target_%s_" % dataset_name)
start = time.time()
printer.print_write("\n============================================")
printer.print_write("============================================")
printer.print_write("Algoritmo: One-Class Support Vector Machine (OSVM)")
printer.print_write("Dataset: %s" % dataset_name)
printer.print_write("# total de atributos: %d" % reduce(sum_attrs, chunks))
printer.print_write("# total de exemplos: %d" %
reduce(sum_instances, chunks))
printer.print_write(
"Treino: Apenas com exemplos da classe de interese, estratégia One Versus All"
)
printer.print_write("Teste: Com todos os exemplos")
printer.print_write("============================================")
printer.print_write("============================================\n")
for i in range(len(chunks)):
ova_start = time.time()
printer.print_write("\n============================================")
printer.print_write("Rodada %d do OVA" % i)
printer.print_write("# total de atributos: %d" % chunks[i].shape[1])
printer.print_write("# total de exemplos: %d" % chunks[i].shape[0])
printer.print_write("============================================\n")
osvm.run(
chunks[i],
np.concatenate([[elem for elem in chunk] for chunk in chunks]),
printer)
ova_end = time.time()
printer.print_write("\nRodada %d do OVA finalizado em: %.2f segundos" %
(i, (ova_end - ova_start)))
end = time.time()
printer.print_write("\nFinalizado em: %.2f segundos" % (end - start))
printer.close_write()
def run_iforest_all(dataset, dataset_name='unnamed_dataset'):
print('iForest com todas as classes %s' % dataset_name)
printer = Printer(prefix="iforest_all_%s_" % dataset_name)
start = time.time()
printer.print_write("\n============================================")
printer.print_write("Algoritmo: Isolation Forest (iForest)")
printer.print_write("Dataset: %s" % dataset_name)
printer.print_write("# total de atributos: %d" % dataset.shape[1])
printer.print_write("# total de exemplos: %d" % dataset.shape[0])
printer.print_write("Treino: Com todos os exemplos")
printer.print_write("Teste: Com todos os exemplos")
printer.print_write("============================================\n")
iforest.run(dataset, [], printer)
end = time.time()
printer.print_write("\nFinalizado em: %.2f segundos" % (end - start))
printer.close_write()
def run_osvm_all(dataset, dataset_name='unnamed_dataset'):
print('OSVM com todas as classes %s' % dataset_name)
printer = Printer(prefix="osvm_all_%s_" % dataset_name)
start = time.time()
printer.print_write("\n============================================")
printer.print_write("Algoritmo: One-Class Support Vector Machine (OSVM)")
printer.print_write("Dataset: %s" % dataset_name)
printer.print_write("# total de atributos: %d" % dataset.shape[1])
printer.print_write("# total de exemplos: %d" % dataset.shape[0])
printer.print_write("Treino: Com todos os exemplos")
printer.print_write("Teste: Com todos os exemplos")
printer.print_write("============================================\n")
osvm.run(dataset, [], printer)
end = time.time()
printer.print_write("\nFinalizado em: %.2f segundos" % (end - start))
printer.close_write()
