ex2_2_2.py

# exercise 2.2.2
import numpy as np

from dtuimldmtools import similarity

# Generate two data objects with M random attributes
M = 5
x = np.random.rand(1, M)
y = np.random.rand(1, M)

# Two constants
a = 1.5
b = 1.5

# Check the statements in the exercise
print(
    "Cosine scaling: %.4f "
    % (similarity(x, y, "cos") - similarity(a * x, y, "cos"))[0, 0]
)
print(
    "ExtendedJaccard scaling: %.4f "
    % (similarity(x, y, "ext") - similarity(a * x, y, "ext"))[0, 0]
)
print(
    "Correlation scaling: %.4f "
    % (similarity(x, y, "cor") - similarity(a * x, y, "cor"))[0, 0]
)
print(
    "Cosine translation: %.4f "
    % (similarity(x, y, "cos") - similarity(b + x, y, "cos"))[0, 0]
)
print(
    "ExtendedJaccard translation: %.4f "
    % (similarity(x, y, "ext") - similarity(b + x, y, "ext"))[0, 0]
)
print(
    "Correlation translation: %.4f "
    % (similarity(x, y, "cor") - similarity(b + x, y, "cor"))[0, 0]
)

print("Ran Exercise 2.2.2")