henrych4

#Reference: http://scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html#sphx-glr-auto-examples-neighbors-plot-classification-py

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn import neighbors

# Set to 1 for 3a, set to 3 for 3b
n_neighbors = 3

henrych4

#Reference: https://stackoverflow.com/questions/38511444/python-download-files-from-google-drive-using-url

import requests

def download_file_from_google_drive(id, destination):
    URL = "https://docs.google.com/uc?export=download"

    session = requests.Session()

    response = session.get(URL, params = { 'id' : id }, stream = True)

henrych4

import numpy as np
from scipy.spatial import distance

m1 = [1, 3.1]
m2 = [1.5, 2.1]
m3 = [2, 2.2]
m4 = [3.1, 1.1]
all_m = [m1, m2, m3, m4]
all_m = np.array(all_m)

henrych4

import numpy as np
from scipy.spatial import distance

m1 = [1, 3.1]
m2 = [1.5, 2.1]
m3 = [2, 2.2]
m4 = [3.1, 1.1]
all_m = [m1, m2, m3, m4]
all_m = np.array(all_m)
a = 0.3