nopapy 1.0.2

「NopaPy」is an easy-to-use open-source library for non-parametric statistic.

Download

pip install nopapy

⚠!!ATTENTION!!⚠

Check the Project Homepage for the complete README.

Quick Start

import numpy as np
import nopapy as npp

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 8, 10])
ypred = npp.NWEstimate(x, y, 3.5) # supposed to be 7
print(ypred) # 6.910633194984344

Other Modules

• Kernel: Supports multiple built-in kernel functions and allows customization of kernel functions.

• Estimate: Includes various non-parametric estimation methods, allowing customization of kernel functions, smooth bandwidth, and order.

• Regression: Provides multiple smoothing methods for batch prediction.

• Scikit_like: Supports the generation of regression objects with specific parameters like scikit-learn and PyTorch.