ricklentz · January 10, 2018 19:21
diff --git a/cross_entropy.py b/cross_entropy.py
 import numpy as np

 # Write a function that takes as input two lists Y, P,
 # and returns the float corresponding to their cross-entropy.
 def cross_entropy(Y, P):
    cross_entropy = 0
    for i in range(len(Y)):
        cross_entropy -= Y[i]*np.log(P[i]) + (1-Y[i])*np.log(1-P[i])
    return cross_entropy
	import numpy as np

	# Write a function that takes as input two lists Y, P,
	# and returns the float corresponding to their cross-entropy.
	def cross_entropy(Y, P):
	cross_entropy = 0
	for i in range(len(Y)):
	cross_entropy -= Y[i]np.log(P[i]) + (1-Y[i])np.log(1-P[i])
	return cross_entropy