result = custom_grid_search(model,
params,
data,
target,
cv,
scorer,
outliers=o)
end = time()
print("Done in: ", end - start, ' s')
print(result)
results[o] = result
try:
with open('./results/' + TEST_NAME + "_" + dataset + '_pickle.b',
'wb') as fp:
pickle.dump(results, fp, protocol=pickle.HIGHEST_PROTOCOL)
except:
print("error")
traceback.print_exc()
plot_and_save_results(results,
get_class_from_list(settings),
'./results/' + TEST_NAME + "_" + dataset,
precision=precision)
# start = time()
# result = custom_grid_search(model, params, data, target, cv, scorer, outliers=0)
# end = time()
# print("Done in: ", end - start, ' s')
# print(result)
# model_results[dataset] = result
# plot_and_save_results(model_results, get_class, './results/' + TEST_NAME + "_multi", precision=4)
start = time()
result = custom_grid_search(model,
params,
data,
target,
cv,
scorer,
outliers=o)
end = time()
print("Done in: ", end - start, ' s')
print(result)
results[o] = result
# try:
# with open('./results/' + TEST_NAME + "_" + dataset + '_pickle.b', 'wb') as fp:
# pickle.dump(results, fp, protocol=pickle.HIGHEST_PROTOCOL)
# except:
# print("error")
# traceback.print_exc()
plot_and_save_results(results,
get_class,
'./results/' + TEST_NAME + "_" + dataset,
precision=precision)
# start = time()
# result = custom_grid_search(model, params, data, target, cv, scorer, outliers=0)
# end = time()
# print("Done in: ", end - start, ' s')
# print(result)
# model_results[dataset] = result
# plot_and_save_results(model_results, get_class, './results/' + TEST_NAME + "_multi", precision=4)