def get_y(self, point):
"""
Use KNN algorithm to find the y value of the point.
Parameters
----------
point: array
Returns
----------
y: float
"""
heap = MaxHeap(self.k)
for i in range(len(self.x)):
distance = Learner.euclidean_distance(self.x[i], point)
heap.add((distance, i, self.x[i], self.y[i])) # if the first value in the tuple is equal, heapq use the second value to compare
values = heap.heapsort()
values = [val[3] for val in values]
return np.array(values).sum()/len(values)
