def print_results(clfs):
file_name = time.strftime(os.path.sep.join([".", "results",
"%Y%m%d_%H:%M:%S.txt"]))
content = ""
for each in clfs:
content += each.confusion
with open(file_name, "w") as f:
f.write(content)
results_process.reports(file_name)
def print_results(clfs):
# file_name = time.strftime(os.path.sep.join([".", "results",
# "%Y%m%d_%H:%M:%S.txt"]))
file_name = "output_see_new_pso_wdamp_5x5.txt"
content = ""
for each in clfs:
content += each.confusion
with open(file_name, "w") as f:
f.write(content)
results_process.reports(file_name)
def print_results(clfs, stop, start):
file_name = time.strftime(
os.path.sep.join([".", "results", "%Y%m%d_%H:%M:%S.txt"]))
file_name = os.path.sep.join(["20171103.txt"])
content = ""
for each in clfs:
content += each.confusion
print(content)
print("Model training time: ", stop - start)
with open(file_name, "w") as f:
f.write(content)
results_process.reports(file_name)
def print_results(clfs, stop, start, filename="output.txt"):
file_name = os.path.sep.join([filename])
content = ""
content += "\nITERATION NUMBER: " + str(
experiment.iteration_num
) + "\n============================================\n"
for each in clfs:
content += each.confusion
print(content)
content += "\nTime: " + str(stop - start)
print("Model training time: ", stop - start)
with open(file_name, "a+") as f:
f.write(content)
results_process.reports(file_name)