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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
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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
1 maintainer
Metadata
1 maintainer
Release files for dbest 2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dbest-2.1.tar.gz | 56.0 kB | Without provenance | Details for dbest-2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dbest-2.1-py3-none-any.whl | Python 3 | none | any | Details for dbest-2.1-py3-none-any.whl |
Total release size: 117.0 kB
Release files / dbest-2.1.tar.gz
| Download URL | dbest-2.1.tar.gz |
|---|---|
| Size | 56.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5
|
Release files / dbest-2.1-py3-none-any.whl
| Download URL | dbest-2.1-py3-none-any.whl |
|---|---|
| Size | 61.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5
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