Repository for the ML-To-SQL framework described in paper (LINK). ML-To-SQL allows the representation and execution of ML models inside a DBMS.
conda is used to manage a virtual Python environment. Just create the conda environment via
conda create --name mldb --file requirements.txt
Examples for dense and LSTM models can be tried using the respective notebooks.