fastash 0.0.27

Fast Averages Shifted Histogram

# FastASH Fast Averaged Shifted Histograms.

Density estimation which approximate a triangular Kernel Density Estimation (KDE. Cython inside.

## Getting Started

Example usage:

For a standard PDF

from scipy import stats import numpy as np from matplotlib import pyplot as plt from fastash import ASH

n = 10**5 d = 3 mean = np.zeros(d) cov = np.diag(np.ones(d)) X = stats.multivariate_normal.rvs(mean=mean, cov=cov, size=n)

ash = ASH(q=100) ash.fit(X)

Y = np.zeros((300, d)) Y[:,0] = np.linspace(-4,4,300) f = ash.predict(Y)

plt.plot(Y[:,0], stats.multivariate_normal.pdf(Y, mean=mean, cov=cov), label=’exact’) plt.plot(Y[:,0], f, label=’FastASH’) plt.legend() plt.show()

## help for packaging

script files are provided and based on this tutorial : https://levelup.gitconnected.com/how-to-deploy-a-cython-package-to-pypi-8217a6581f09