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1 parent d7d7f04 commit a63f03cCopy full SHA for a63f03c
nipype/algorithms/metrics.py
@@ -537,15 +537,14 @@ def _run_interface(self, runtime):
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tstvector = tst_data.reshape(-1,comps)[msk_idxs].astype(np.float32)
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diffvector = (refvector-tstvector)
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- # Scale the diffrernce
+ # Scale the difference
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if self.inputs.metric == 'sqeuclidean':
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errvector = diffvector**2
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if (comps > 1):
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errvector = np.sum(errvector, axis=1)
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else:
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errvector = np.squeeze(errvector)
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elif self.inputs.metric == 'euclidean':
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- #X = np.hstack((refvector, tstvector))
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errvector = np.linalg.norm(diffvector, axis=1)
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errvectorexp = np.zeros_like(mskvector, dtype=np.float32) # The default type is uint8
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