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Mia Steinkirch 2019-10-20 16:23:01 -07:00
parent 1d5577b7e8
commit 532fbd7342
21 changed files with 2 additions and 2 deletions
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Numpy/NeareastNeighbor.py
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import numpy as np
class NearestNeighbor(object):
def __init__(self):
pass
def train(self, X, y):
self.Xtr = X
self.ytr = y
def predict(self, X):
num_test = X.shape[0]
Ypred = np.zeros(num_test, dtype = self.ytr.dtype)
# loop over all test rows
for i in xrange(num_test):
# find the nearest training image to the i'th test image
# using the L1 distance (sum of absolute value differences)
distances = np.sum(np.abs(self.Xtr - X[i,:]), axis = 1)
min_index = np.argmin(distances) # get the index with smallest distance
Ypred[i] = self.ytr[min_index] # predict the label of the nearest example
return Ypred