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Return GP predictions as column vectors #55

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2 changes: 1 addition & 1 deletion pySOT/surrogate/gp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ def predict(self, xx):
"""
self._fit()
xx = to_unit_box(np.atleast_2d(xx), self.lb, self.ub)
return self._mu + self._sigma * self.model.predict(xx)
return self._mu + self._sigma * np.expand_dims(self.model.predict(xx), axis=1)

def predict_std(self, xx):
"""Predict standard deviation at points xx.
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3 changes: 3 additions & 0 deletions tests/test_surrogates.py
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Expand Up @@ -174,6 +174,9 @@ def test_gp():
np.random.seed(0)
Xs = np.random.rand(10, 2)
fhx = gp.predict(Xs)
assert fhx.shape == (Xs.shape[0], 1)
assert gp.predict_std(Xs).shape == fhx.shape
assert gp.predict(Xs[0]).shape == (1, 1)
fx = f(Xs)
assert np.max(np.abs(fx - fhx)) < 1e-2

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