regressionmodels 0.0.1

Gaussian distributions

Regressionmodels

A package which can be used to fit linear- as well as polynomial Regression Models to n-dimensional data.

Installation

The installation requires a Python Version of 3.6+.

You can install the package via:

pip install regressionmodels

If you already installed the package you can update it via:

pip install --upgrade sdllib

#Installation for Developers

Locally, the package and its development-dependencies can be installed via:

pip install .[dev]

and in the main directory of the package via

python setup.py sdist bdistwheel

the package can be built as Source- and Binary-Distribution.

Unittests

You can run Unittests with pytest. You can conduct them locally via

pytest test.py

Overview of the Modules

model.py

Includes a class Regression, which can be initialized via

Regression(deg=1)

with the parameter deg (default =1) to determine which degree of Regression function should be fit on the data.

The beta vector can be estimated using the method:

.fit(X,y)

After that, the fitted beta can be used to predict unseen data via:

.predict(X)