It computes the coeficientes of the MMQ for a given set of 2-D points
Project description
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
Author
[Igor Matheus Jasenovski]
Version
0.0.1
References
Project details
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