MMQ (Least Squares method) Package

Description

The function takes a set of 2-D points (np.array) and returns the coefficients of the function that best fits the points, using the Least Squares method. User needs to provide the function degree (1 for linear, 2 for quadratic, etc.) and the points (x and y) as np.arrays.

Maybe, for high degree functions, the function will face some problems. Be careful.

Installation

pip install mmq

Requirements

• numpy

Usage

from mmq import metodo_minimos_quadrados
metodo_minimos_quadrados.mmq(x, y, degree)

Example

from mmq import metodo_minimos_quadrados
import numpy as np

x = np.array([1, 2, 3, 4, 5])
y = np.array([1, 3, 5, 7, 9])
degree = 1

metodo_minimos_quadrados.mmq(x, y, degree)

License

MIT

Author

[Igor Matheus Jasenovski]

Version

0.0.1

References

Least Squares Method