Given a vector of real numbers r = (r1, V2, ..., rn). We can standardize the vector using the formulation: V; = "im, where m is theri-mmean of the vector r, and s is the standard deviation of r. The vector v = (V1, V2, . , Un) will be the scaled vector.... 9Write a Python function scale_vec(r) that takes the vector r as input and returns the scaled vector v.Sample inputs and outputs:• Input: np.array([1, 3, 5]), output: [-1.22474487 0. 1.22474487]Input: np.array([3.3, 1.2, -2.7, −0.6]), output: [1.35457092 0.40637128 -1.35457092 -0.40637128]Hint: Use numpy.mean and numpy.std with default parameters.[ ] # Write your function hereLet's test your function.[ ] import numpy as npprint (scale_vec(np.array ( [1, 3, 5])))print (scale_vec(np.array([3.3, 1.2, -2.7, -0.6])))

Answered: Write a Python function scale_vec(r)

Engineering

Computer Science

Write a Python function scale_vec(r)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Given a vector of real numbers r = (r1, V2, ..., rn). We can standardize the vector using the formulation: V; = "im, where m is the
ri-m
mean of the vector r, and s is the standard deviation of r. The vector v = (V1, V2, . , Un) will be the scaled vector.
... 9
Write a Python function scale_vec(r) that takes the vector r as input and returns the scaled vector v.
Sample inputs and outputs:
• Input: np.array([1, 3, 5]), output: [-1.22474487 0. 1.22474487]
Input: np.array([3.3, 1.2, -2.7, −0.6]), output: [1.35457092 0.40637128 -1.35457092 -0.40637128]
Hint: Use numpy.mean and numpy.std with default parameters.
[ ] # Write your function here
Let's test your function.
[ ] import numpy as np
print (scale_vec(np.array ( [1, 3, 5])))
print (scale_vec(np.array([3.3, 1.2, -2.7, -0.6])))

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