predict.py

# -*- coding: utf-8 -*-
"""project3.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/10qd_bkZqMaul3gO6C3RmHhHIYj5nK6tm
"""

#from google.colab import drive
#drive.mount('/content/drive')
import keras
import numpy as np
import pandas as pd
from keras import layers, optimizers, losses, metrics
from keras.models import load_model
import io
import sys

# count the arguments
arguments = len(sys.argv) - 1
#print ("the script is called with %i arguments" % (arguments))
#print(sys.argv[arguments])

# Define input file
if (sys.argv[arguments-1]=="-i"):
	data = pd.read_csv(sys.argv[arguments])
	#print("h5 ok")
else:
	print("h5 file error!")

#hard coded the rest of the files
model = load_model('WindDenseNN.h5', compile=False)
labels = pd.read_csv('actual.csv')
#print(data.shape)
for col in data.columns:
  del data[col]
  break
#print(data.shape)

result = model.predict(data, batch_size=32)
#print(result.shape)
#print(result)
for col in labels.columns:
  timestamps = labels[col].tolist()
  del labels[col]
  break
#print(labels.shape)

from sklearn.metrics import mean_absolute_error, mean_squared_error
#print(data.head(data.shape[0]))
list1 = []
list2 = []
list1 = list(result)
list2 = labels.values.tolist()

x = range(len(list1))
mae = 0.0
mse = 0.0
mape = 0.0
for n in x:
  mae += mean_absolute_error(list2[n], list1[n])
  mse += mean_squared_error(list2[n], list1[n])
  At = sum(list2[n]) / len(list2[n])
  y = len(list1[n])
  trash = 0.0
  for z in range(0, y):
    trash += abs(At - list1[n][z]) / At
  trash /= z
  mape += trash 


mae /= n
mse /= n
mape /= n
print(mae, mse, mape*100,"%")

import csv
with open('predicted.csv', 'w', newline='') as file:
    writer = csv.writer(file)
    writer.writerow(["MAE", mae, "MAPE", mape*100,  "MSE", mse])
    for n in x:
      y = range(len(list1[n]))
      sutoringo = ''
      for z in y:
        sutoringo += 'list1[n][' + str(z) + '],'
      sutoringo[:-1]
      sutoringo = 'writer.writerow([timestamps[n],'+ sutoringo +'])'
      exec(sutoringo)