This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.

This library aims at providing tools for an automatic machine learning approach. As many tools already exist to establish one or the other component of an AutoML approach, the idea of this library is to provide a structure rather than to implement a complete service.

This simple module aims at providing some function to tackle tabular data that have a continuous axis. In situations, this index can represent time, but this tool was originally developed to tackle rail way description.

This repository provides tools for automatically detecting relationships between two tables.

This package provide some useful tools to interact with postgresql server using pandas dataframe