inputs = np.array([23.,56,69])

def DoModel(array):
    ... do magic ...
    return newArray

Outputs= np.array([np.array([DoModel(inputs) for  x in xrange(iterations)])

def RunModel(iterations, inputs):
    # generate a 1D array of length iteration containing the input array
    myArray = np.full((1,int(iterations)), inputs)

Outputs = RunModel(iterations, inputs)
# run my function on the array
return DoModel(empty)

ValueError: could not broadcast input array from shape (3) into shape (1,5)

myArray = np.full((1,int(iterations)), inputs,dtype=np.ndarray
)