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requested changes addressed

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Taru 2018-10-17 00:52:32 +05:30 committed by GitHub
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commit f018ddc4c0
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1 changed files with 5 additions and 5 deletions
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machine_learning/logistic_regression.py
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@ -31,13 +31,13 @@ def sigmoid_function(z):
def cost_function(h,y): def cost_function(h,y):
return (-y*np.log(h)-(1-y)*np.log(1-h)).mean() return (-y*np.log(h)-(1-y)*np.log(1-h)).mean()
# here alpha is the learning rate, X is the featue matrix,y is the target matrix # here alpha is the learning rate, X is the feature matrix,y is the target matrix
def logistic_reg(alpha,X,y,max_iterations=70000): def logistic_reg(alpha,X,y,max_iterations=70000):
converged=False converged=False
iterations=0 iterations=0
theta=np.zeros(X.shape[1]) theta=np.zeros(X.shape[1])
num_iterations=0
while not converged: while not converged:
z=np.dot(X,theta) z=np.dot(X,theta)
h=sigmoid_function(z) h=sigmoid_function(z)
@ -46,9 +46,9 @@ def logistic_reg(alpha,X,y,max_iterations=70000):
z=np.dot(X,theta) z=np.dot(X,theta)
h=sigmoid_function(z) h=sigmoid_function(z)
e=cost_function(h,y) J=cost_function(h,y)
print('J=',e)
J=e
iterations+=1 #update iterations iterations+=1 #update iterations