「NopaPy」is an easy-to-use open-source library for non-parametric statistic .
Project description
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pip install nonpapy
Quick Start
import numpy as np import nopapy x = np.array([1, 2, 3, 4, 5]) y = np.array([2, 4, 6, 8, 10]) ypred = nopapy.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.
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