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https://pypi.org › project › rbfopt
RBFOpt is a library for black box optimization using derivative free optimization tools
https://rbfopt.readthedocs.io › en › latest
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https://stackoverflow.com › questions › how-to-set-the-rbfopt-algorithm
I am working on feature selection I was reading that the RBFOpt package is one way to optimise feature selection The following is a copy of the code I am using import pandas as pd from
https://www.coin-or.org › rbfopt-a-new-library-for-black-box-optimization
RBFOpt is a library written in Python for black box also known as derivative free optimization It is a global solver that requires zero order information just function values not even
https://rbfopt.readthedocs.io › en › latest › rbfopt_algorithm.html
Implements the main optimization algorithm and contains all its state variables so that the algorithm can be warm started from a given state Some of the logic of the algorithm is not inside this class
https://github.com › coin-or › rbfopt › blob › master › README.rst
RBFOpt is a Python library for black box optimization also known as derivative free optimization It is developed for Python 3 but currently runs on Python 2 7 as well
https://libraries.io › pypi › rbfopt
RBFOpt is a Python library for black box optimization also known as derivative free optimization It is developed for Python 3 but currently runs on Python 2 7 as well
https://buildmedia.readthedocs.org › media › pdf › rbfopt › stabl…
This module contains the definition of the black box function that is optimized by RBFOpt when using the default command line interface This is an abstract class all methods must be reimplemented by
https://optimization-online.org › wp-content › uploads
Our implementation is included in the open source library called RBFOpt available in the COIN OR repository RBFOpt is released under the Revised BSD license it can be installed automatically
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