Automunge
Automunge is a technology company focused on solving the problem of data set encoding, which often requires manual addressing in mainstream practice. Their tool automates the prediction of missing data infill and can be used for non-deterministic inference through stochastic perturbations of tabular features. They have published a paper titled "Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge" which was accepted to the 2022 ICML DataPerf workshop. Automunge offers documentation and tutorials on GitHub and can be installed via pip. The company also holds United States Patent Number 11861462.
Automunge
Automunge is a technology company focused on solving the problem of data set encoding, which often requires manual addressing in mainstream practice. Their tool automates the prediction of missing data infill and can be used for non-deterministic inference through stochastic perturbations of tabular features. They have published a paper titled "Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge" which was accepted to the 2022 ICML DataPerf workshop. Automunge offers documentation and tutorials on GitHub and can be installed via pip. The company also holds United States Patent Number 11861462.