NNS-RPY2-ScikitLearn

NNS RPY2 is a python package (pipy) that create a Scikit-Learn interface to NNS library (NNS: Nonlinear Nonparametric Statistics, developed in R) with RPY2 package.

This project is a beta version, classifier and regressor classes are exported to user.

A second step is export all NNS functions to python world.

A last step is port the NNS R code to python, checking if Cython could help with performace and reduce the memory when copying data from python to R

More about NNS: https://cran.r-project.org/package=NNS , https://github.com/OVVO-Financial/NNS

Installation

Execute the standard pip install:

pip install NNS-RPY2-ScikitLearn

Dependencies

NNS-RPY2-ScikitLearn requires:

Python (>= 3.6)
RPY2 (>= 3.2.4)
Scikit-learn (>= 0.22.1)
NumPy (>= 1.13.3)

Example

Python code:

from nns_rpy2 import NNSRPY2Regressor
model = NNSRPY2Regressor()
x = np.array([1, 2, 3, 4])
x_new = x + 1
y = x ** 3
model.fit(x, y)
print(model.predict(x_new))

Contribuiton

We welcome new contributors of all experience levels. Open a issue, send a pullrequest or start wiki page.

Autors

Fred Viole - https://www.linkedin.com/in/fred-viole-9481278/