我在使用fmin_powell方法优化参数时遇到了问题。
coeff = np.array([1.,1.,1.,1.])
def run(coeff, *func):
if np.any(coeff < 0): return (np.minimum(coeff, 0)**2 + 1) * 100000000.0
else:
[some math operations]
return Energy
def optimize(f):
return opt.fmin_powell(run, coeff, args=(f,f), disp=0)
f = ['1a','2b','3c', '4d', '5e', '6e', '7f', '8g']
p = Pool(processes=8)
async_ret = p.map(optimize,f,chunksize=1)
result = async_ret.get()
p.terminate()
即，我收到错误消息：
async_ret = p.map(optimize,f,chunksize=1)
File "/apps/anaconda/lib/python2.7/multiprocessing/pool.py", line 251, in map
return self.map_async(func, iterable, chunksize).get()
File "/apps/anaconda/lib/python2.7/multiprocessing/pool.py", line 567, in get
raise self._value
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
我认为问题出现了问题：if np.any(coeff < 0): return (np.minimum(coeff, 0)**2 + 1) * 100000000.0但是，我没有发现错误。
有人看到问题所在吗？