def unroll(self, arr):
for i in range(0,len(arr)):
arr[i]=np.array(arr[i])
if i==0:
res=(arr[i]).ravel().T
else:
res=np.vstack((res,(arr[i]).ravel().T))
res.shape=(1, len(res))
return res
def run(self, nn, input):
z=[0]
a=[]
a.append(copy.deepcopy(input))
a[0]=np.array(a[0]).T # nx1 vector
logFunc = self.logisticFunction()
for i in range(1, len(nn['structure'])):
a[i-1]=np.vstack(([1], a[i-1]))
z.append(np.dot(nn['theta'][i], a[i-1]))
a.append(logFunc(z[i]))
nn['z'] = z
nn['a'] = a
return a[len(nn['structure'])-1]
