old_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  #
  #  ecnet/error_utils.py
  #  v.1.3.0.dev1
  #  Developed in 2018 by Travis Kessler <Travis_Kessler@student.uml.edu>
  #
  #  This program contains functions for error calculations
  #
  
  import numpy as np
  from math import sqrt
  
  # Calculates the root-mean-square error between two arguments of equal length
  def calc_rmse(y_hat, y):
  	try:
  		return(np.sqrt(((y_hat-y)**2).mean()))
  	except:
  		try:
  			return(np.sqrt(((np.asarray(y_hat)-np.asarray(y))**2).mean()))
  		except:
  			raise ValueError("Error in calculating RMSE. Check input data format.")
  			
  # Calculates the mean average error between two arguments of equal length 
  def calc_mean_abs_error(y_hat, y):
  	try:
  		return(abs(y_hat-y).mean())
  	except:
  		try:
  			return(abs(np.asarray(y_hat)-np.asarray(y)).mean())
  		except:
  			raise ValueError("Error in calculating mean average error. Check input data format.")
  
  # Calculates the median absoltute error between two arguments of equal length			
  def calc_med_abs_error(y_hat, y):
  	try:
  		return(np.median(np.absolute(y_hat-y)))
  	except:
  		try:
  			return(np.median(np.absolute(np.asarray(y_hat)-np.asarray(y))))
  		except:
  			raise ValueError("Error in calculating median absolute error. Check input data format.")
  
  # Calculates the correlation of determination, or r-squared value, between two arguments of equal length
  def calc_r2(y_hat, y):
  	try:
  		y_mean = y.mean()
  	except:
  		try:
  			y_form = []
  			for i in range(len(y)):
  				y_form.append(y[i][0])
  			y_mean = sum(y_form)/len(y_form)
  		except:
  			raise ValueError("Error in calculating r-squared. Check input data format.")
  	try:
  		s_res = np.sum((y_hat-y)**2)
  		s_tot = np.sum((y-y_mean)**2)
  		return(1 - (s_res/s_tot))
  	except:
  		try:
  			s_res = np.sum((np.asarray(y_hat)-np.asarray(y))**2)
  			s_tot = np.sum((np.asarray(y)-y_mean)**2)
  			return(1 - (s_res/s_tot))
  		except:
  			raise ValueError("Error in calculating r-squared. Check input data format.")
  
new_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  #
  #  ecnet/error_utils.py
  #  v.1.4.0
  #  Developed in 2018 by Travis Kessler <Travis_Kessler@student.uml.edu>
  #
  #  This program contains functions for error calculations
  #
  
  import numpy as np
  from math import sqrt
  
  # Calculates the root-mean-square error between two arguments of equal length
  def calc_rmse(y_hat, y):
  	try:
  		return(np.sqrt(((y_hat-y)**2).mean()))
  	except:
  		try:
  			return(np.sqrt(((np.asarray(y_hat)-np.asarray(y))**2).mean()))
  		except:
  			raise ValueError("Error in calculating RMSE. Check input data format.")
  			
  # Calculates the mean average error between two arguments of equal length 
  def calc_mean_abs_error(y_hat, y):
  	try:
  		return(abs(y_hat-y).mean())
  	except:
  		try:
  			return(abs(np.asarray(y_hat)-np.asarray(y)).mean())
  		except:
  			raise ValueError("Error in calculating mean average error. Check input data format.")
  
  # Calculates the median absoltute error between two arguments of equal length			
  def calc_med_abs_error(y_hat, y):
  	try:
  		return(np.median(np.absolute(y_hat-y)))
  	except:
  		try:
  			return(np.median(np.absolute(np.asarray(y_hat)-np.asarray(y))))
  		except:
  			raise ValueError("Error in calculating median absolute error. Check input data format.")
  
  # Calculates the correlation of determination, or r-squared value, between two arguments of equal length
  def calc_r2(y_hat, y):
  	try:
  		y_mean = y.mean()
  	except:
  		try:
  			y_form = []
  			for i in range(len(y)):
  				y_form.append(y[i][0])
  			y_mean = sum(y_form)/len(y_form)
  		except:
  			raise ValueError("Error in calculating r-squared. Check input data format.")
  	try:
  		s_res = np.sum((y_hat-y)**2)
  		s_tot = np.sum((y-y_mean)**2)
  		return(1 - (s_res/s_tot))
  	except:
  		try:
  			s_res = np.sum((np.asarray(y_hat)-np.asarray(y))**2)
  			s_tot = np.sum((np.asarray(y)-y_mean)**2)
  			return(1 - (s_res/s_tot))
  		except:
  			raise ValueError("Error in calculating r-squared. Check input data format.")
  
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