When the neural network of JMP is operated in Python, the value is different.

TShiino — Wed, 22 Nov 2023 04:48:41 GMT

When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.

OS：windows 10

Python Version : 3.9

File list

jmp_score.py
CNN_NTanH_boost.py <- JMP Python
mypython_code.py

import CNN_NTanH_boost
import numpy as np
import pandas as pd

filepath = r"filepath"
ext = 'csv'
if filepath.endswith(ext):
    df=pd.read_csv(filepath)
else :
    df=pd.read_excel(filepath)

input_list_dict = CNN_NTanH_boost.getInputMetadata()
input_list = list(input_list_dict.keys())

output_list_dict = CNN_NTanH_boost.getOutputMetadata()
output_list = list(output_list_dict.keys())

out_df_temp = pd.DataFrame(np.zeros((1,len(output_list))),columns=output_list)

number = 0
out = CNN_NTanH_boost.score(df[ROI_list].iloc[number],out_df_temp)

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When the neural network of JMP is operated in Python, the value is different.