check_PyH_setup

Ensures that the reticulate package has been installed, that python is available to be used
by reticulate functions, and that the python module "ripser" has been installed.

Topological data analysis is a powerful tool for finding non-linear global structure
in whole datasets. The main tool of topological data analysis is persistent homology, which computes
a topological shape descriptor of a dataset called a persistence diagram. 'TDApplied' provides
useful and efficient methods for analyzing groups of persistence diagrams with machine learning and statistical inference,
and these functions can also interface with other data science packages to form flexible and integrated
topological data analysis pipelines.

Shael Brown

TDApplied

Machine Learning and Inference for Topological Data Analysis

Dr. Reza Farivar

check_PyH_setup function

Shael Brown - <a href="/link/shaelebrown%40gmail.com?package=TDApplied&version=3.0.3" data-mini-rdoc="TDApplied::shaelebrown@gmail.com">shaelebrown@gmail.com</a>

Author

Make sure that python has been configured correctly for persistent homology calculations. — check_PyH_setup

Shael Brown - <a href='mailto:shaelebrown@gmail.com'>shaelebrown@gmail.com</a>

check_PyH_setup: Make sure that python has been configured correctly for persistent homology calculations.

Description

Usage

Arguments

Author

Details