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Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search.
Ramsey, Joseph D; Andrews, Bryan.
Afiliação
  • Ramsey JD; Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA.
  • Andrews B; Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN.
Proc Mach Learn Res ; 223: 40-51, 2023 Aug.
Article em En | MEDLINE | ID: mdl-39132453
ABSTRACT
We give novel Python and R interfaces for the (Java) Tetrad project for causal modeling, search, and estimation. The Tetrad project is a mainstay in the literature, having been under consistent development for over 30 years. Some of its algorithms are now classics, like PC and FCI; others are recent developments. It is increasingly the case, however, that researchers need to access the underlying Java code from Python or R. Existing methods for doing this are inadequate. We provide new, up-to-date methods using the JPype Python-Java interface and the Reticulate Python-R interface, directly solving these issues. With the addition of some simple tools and the provision of working examples for both Python and R, using JPype and Reticulate to interface Python and R with Tetrad is straightforward and intuitive.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Mach Learn Res Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Mach Learn Res Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos