ptype: Probabilistic Type Inference
Machine Learning
2020-03-24 v2 Programming Languages
Machine Learning
Abstract
Type inference refers to the task of inferring the data type of a given column of data. Current approaches often fail when data contains missing data and anomalies, which are found commonly in real-world data sets. In this paper, we propose ptype, a probabilistic robust type inference method that allows us to detect such entries, and infer data types. We further show that the proposed method outperforms the existing methods.
Cite
@article{arxiv.1911.10081,
title = {ptype: Probabilistic Type Inference},
author = {Taha Ceritli and Christopher K. I. Williams and James Geddes},
journal= {arXiv preprint arXiv:1911.10081},
year = {2020}
}