Package: qregpy
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We also recommend that afile or class name and description of purpose be included on thesame "printed page" as the copyright notice for easieridentification within third-party archives.Copyright [2019] [Qingzhi Ma]Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License.Description:This project implements the Query-Centric Regression, named QReg.QReg is a ensemble methods based on various base regression models.Current QReg support linear, polynomial, decision tree, xgboost, gboosting regression as its base models.DependenciesPython 3.6 or higher, requires scipy, xgboost, numpy, scikit-learnKeywords: Query-centric RegressionPlatform: UNKNOWNClassifier: Development Status :: 1.1Classifier: License :: OSI Approved :: MIT LicenseClassifier: Programming Language :: Python :: 3.6Classifier: Topic :: Approximate Query Processing :: Regression :: ensemble method