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Model-based Approximate Query Processing (AQP) engine.

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Description: DBEst Repository
========================

This project implements the Approximate Query Processing engine (AQP) of DBEst.
DBEst is a model-based AQP engine using regression models and density estimator.

Currently DBEst supports various aggregate funcitons, including COUNT, SUM, AVG, PERCENTILE, VARIANCE, STDDEV, MIN, MAX, etc.
Group By is also supported.

The main function is located in creg/DBEst.py

v2.0 RoadMap
---------------
1. Enable multi-thread training\\
2. Enable multi-thread prediction, especially group by\\
3. Transfer to Java
4. DBEst over spark
Keywords: Approximate Query Processing AQP
Platform: UNKNOWN
Classifier: Development Status :: 2.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Approximate Query Processing :: AQP :: Data Warehouse

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2.1

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