Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
|
import { meanSquaredError } from '../MeanSquareError'
|
||
|
|
|
||
|
|
describe('meanSquareError', () => {
|
||
|
|
it('should throw an error on non-array arguments', () => {
|
||
|
|
expect(() => meanSquaredError(1, 4)).toThrow('Argument must be an Array')
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should throw an error on non equal length ', () => {
|
||
|
|
const firstArr = [1, 2, 3, 4, 5]
|
||
|
|
const secondArr = [1, 2, 3]
|
||
|
|
expect(() => meanSquaredError(firstArr, secondArr)).toThrow(
|
||
|
|
'The two lists must be of equal length'
|
||
|
|
)
|
||
|
|
})
|
||
|
|
|
||
|
|
it('should return the mean square error of two equal length arrays', () => {
|
||
|
|
const firstArr = [1, 2, 3, 4, 5]
|
||
|
|
const secondArr = [1, 3, 5, 6, 7]
|
||
|
|
expect(meanSquaredError(firstArr, secondArr)).toBe(2.6)
|
||
|
|
})
|
||
|
|
})
|