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:

1. Fit of a Cosine function using scipy and description of the gradient descent methond.
2. Fit of a Cosine function using Hyperopt package.
3. Fit of a Cosine function using HOBIT package.
4. Fit of a Cosine function using HOBIT package.

Detailed explanation on the usage of these codes are inside the notebooks.