Given a vector of real numbers r = (r1, r2, . . ., rn) We can standardize the vector using the formulation: v₂ = ****, where m is the mean of the vector r, and s is the standard deviation of r. The vector v = (v1, V2, … .., Un) will be the scaled vector. 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.

Given a vector of real numbers r = (r1, r2, . . ., rn) We can standardize the vector using the formulation: v₂ = ****, where m is the mean of the vector r, and s is the standard deviation of r. The vector v = (v1, V2, … .., Un) will be the scaled vector. 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.

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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