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changed operator.mul to np.multiply for consistency

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Daniel Beck 2015-02-09 09:35:32 +11:00
parent 8b4274339a
commit d6a56a6f0b
1 changed files with 1 additions and 2 deletions
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3
GPy/kern/_src/prod.py
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@ -5,7 +5,6 @@ import numpy as np
from kern import CombinationKernel from kern import CombinationKernel
from ...util.caching import Cache_this from ...util.caching import Cache_this
import itertools import itertools
import operator
def numpy_invalid_op_as_exception(func): def numpy_invalid_op_as_exception(func):
@ -64,7 +63,7 @@ class Prod(CombinationKernel):
except FloatingPointError: except FloatingPointError:
#print "WARNING: gradient calculation falling back to slow version due to zero-valued kernel" #print "WARNING: gradient calculation falling back to slow version due to zero-valued kernel"
for combination in itertools.combinations(self.parts, len(self.parts) - 1): for combination in itertools.combinations(self.parts, len(self.parts) - 1):
prod = reduce(operator.mul, [p.K(X, X2) for p in combination]) prod = reduce(np.multiply, [p.K(X, X2) for p in combination])
to_update = list(set(self.parts) - set(combination))[0] to_update = list(set(self.parts) - set(combination))[0]
to_update.update_gradients_full(dL_dK * prod, X, X2) to_update.update_gradients_full(dL_dK * prod, X, X2)