def get_maj_label(distances, labels, numNeighbours):
"""Returns the majority label of the k nearest neighbors."""
nnIndices = libNearestNeighbor.nArgMin(numNeighbours, distances)
if not isinstance(labels, type(np.array([]))):
labels = np.asarray(labels, dtype=np.int8)
else:
labels = np.int8(labels)
predLabels = libNearestNeighbor.mostCommon(labels[nnIndices])
return predLabels
def getMajLabel(distances, labels, numNeighbours):
"""Returns the majority label of the k nearest neighbors."""
nnIndices = libNearestNeighbor.nArgMin(numNeighbours, distances)
predLabels = libNearestNeighbor.mostCommon(labels[nnIndices])
return predLabels