Cantarella
Cantarella

Reputation: 71

Python unhashable type: 'numpy.ndarray'

I worked on making functions for K Nearest Neighbors. I have tested each function separately and they all work well. However whenever I put them together and run KNN_method, it shows unhashable type: 'numpy.ndarray'. Here is my code:

def distance(p,point):
    import numpy as np
    value = np.sqrt(sum(np.power((p-point),2)))
    return(value)

def find_neighbors(p,list_of_points, k = 3):
    import numpy as np
    distances = np.zeros(list_of_points.shape[0])
    for i in range(list_of_points.shape[0]):
        distances[i]= distance(p,list_of_points[i])
    ind = np.argsort(distances)
    return(ind[0:k])

def majority_votes(votes):
    import random
    vote_result = {}
    for key in votes:
        if key in vote_result:
            vote_result[key] += 1
        else:
            vote_result[key] = 1
    final_list = []
    for (number, vote) in vote_result.items():
        if vote == max(vote_result.values()):
            final_list.append(number)
    Winner = random.choice(final_list)
    return(Winner)


def KNN_method(p , list_of_points , outcomes , k = 3):
    ind = find_neighbors(p , list_of_points , k) 
    Final = majority_votes(outcomes[ind])
    return(Final)

Upvotes: 6

Views: 69554

Answers (1)

DaveQ
DaveQ

Reputation: 1762

Convert to tuple first.

hash(tuple(np.array([1,2,3,4])))

Upvotes: 12

Related Questions