"blue")
Support.colored_print(
"model output 1: " + str(real_output_production_1) +
" expected: " + str(expected_output_1), "green")
Support.colored_print(
"model output 2: " + str(real_output_production_2) +
" expected: " + str(expected_output_2), "green")
Support.colored_print(
"model output 3: " + str(real_output_production_3) +
" expected: " + str(expected_output_3), "green")
Support.colored_print(
"model output 4: " + str(real_output_production_4) +
" expected: " + str(expected_output_4), "green")
#Support.colored_print("model output 5: " + str(real_output_production_5) + " expected: " + str(expected_output_5), "green")
relative_error_production_1 = Support.calculate_relative_error(
real_output_production_1, expected_output_1)
relative_error_production_2 = Support.calculate_relative_error(
real_output_production_2, expected_output_2)
relative_error_production_3 = Support.calculate_relative_error(
real_output_production_3, expected_output_3)
relative_error_production_4 = Support.calculate_relative_error(
real_output_production_4, expected_output_4)
#relative_error_production_5 = Support.calculate_relative_error(real_output_production_5, expected_output_5)
for current_input in range(0, len(input_wp[sample_selected])):
file_output_production_1.write(
"%f " % input_wp[sample_selected][current_input]) #qui
file_output_production_3.write(
"%f " % input_wp[sample_selected][current_input])
file_output_production_4.write(
"%f " % input_wp[sample_selected][current_input])
real_output_production_1 = model_production_1.predict(input_rf[sample_selected].reshape(1, -1))
real_output_production_2 = model_production_2.predict(input_wpwl[sample_selected].reshape(1, -1))
real_output_production_3 = model_production_3.predict(input_wpwl[sample_selected].reshape(1, -1))
real_output_production_4 = model_production_4.predict(input_rf[sample_selected].reshape(1, -1))
#real_output_production_5 = model_production_5.predict(input_rf[sample_selected].reshape(1, -1))
if detailed_verbose != 0:
Support.colored_print("-------------------------------------------", "blue")
Support.colored_print("model output 0: " + str(real_output_production_0) + " expected: " + str(expected_output_0), "green")
Support.colored_print("model output 1: " + str(real_output_production_1) + " expected: " + str(expected_output_1), "green")
Support.colored_print("model output 2: " + str(real_output_production_2) + " expected: " + str(expected_output_2), "green")
Support.colored_print("model output 3: " + str(real_output_production_3) + " expected: " + str(expected_output_3), "green")
Support.colored_print("model output 4: " + str(real_output_production_4) + " expected: " + str(expected_output_4), "green")
#Support.colored_print("model output 5: " + str(real_output_production_5) + " expected: " + str(expected_output_5), "green")
relative_error_production_0 = Support.calculate_relative_error(real_output_production_0, expected_output_0)
relative_error_production_1 = Support.calculate_relative_error(real_output_production_1, expected_output_1)
relative_error_production_2 = Support.calculate_relative_error(real_output_production_2, expected_output_2)
relative_error_production_3 = Support.calculate_relative_error(real_output_production_3, expected_output_3)
relative_error_production_4 = Support.calculate_relative_error(real_output_production_4, expected_output_4)
#relative_error_production_5 = Support.calculate_relative_error(real_output_production_5, expected_output_5)
for current_input in range(0, len(input_rf[sample_selected])):
file_output_production_0.write("%f " % input_wpwl[sample_selected][current_input]) # qui
file_output_production_1.write("%f " % input_rf[sample_selected][current_input]) #qui
file_output_production_4.write("%f " % input_rf[sample_selected][current_input])
#file_output_production_5.write("%f " % input_rf[sample_selected][current_input])
for current_input in range(0, len(input_wpwl[sample_selected])):
file_output_production_2.write("%f " % input_wpwl[sample_selected][current_input])
file_output_production_3.write("%f " % input_wpwl[sample_selected][current_input])
