HOBIT is a Python library that combines the power of Hyperopt (https://github.com/hyperopt/hyperopt) with the flexibility of Sklearn oriented to the teaching of physics that is able to fit in a very efficient way functions with the shape
f(x) = y_0 + y_1 * Sin(omega * x + phi)
f(x) = y_0 + y_1 * Cos(omega * x + phi)
whose are commonly used to describe harmonic oscillators.
Install HOBIT-0.0.3-py2.py3-none-any.whl that you can find in dist folder using
pip install HOBIT-0.0.3-py2.py3-none-any.whl
Hobit will install/update the next python libraries
- pandas>=1.1.3
- numpy>=1.19.2
- hyperopt>=0.2.7
- sklearn>=0.23.2
In the folder notebooks you will find four jupyther notebooks with the following examples:
- Fit of a Cosine function using scipy and description of the gradient descent methond.
- Fit of a Cosine function using Hyperopt package.
- Fit of a Cosine function using HOBIT package.
- Fit of a Cosine function using HOBIT package.
Detailed explanation on the usage of these codes are inside the notebooks.