findthegap 0.0.3

Tools for finding gaps and valleys in data distribution with a twice-differentiable density estimator with finite support.

FindTheGap

This package provides tools for geometric data analysis, targeted at finding gaps and valleys in data distribution. It provides a (twice-differentiable) density estimator (Quartic Kernel Density Estimator) relying on pytorch for auto-differentaition, and methods to estimate critical points in the density as well as various statistics to identify and trace `gaps' and valleys in the distribution. See https://github.com/contardog/findthegap for demo and usecase notebook in the folder 'examples'.

This package can be installed through pip (https://pypi.org/project/findthegap/):

pip install findthegap 

Dependencies:

• numpy >= 1.19.5

• torch >= 1.10.1

• scipy >= 1.5.4

Notebook requirements: galpy, sklearn, astropy, matplotlib

Authors: Gabriella Contardo (CCA at Simons Foundation), David W. Hogg(CCA/NYU/MPIA)