hyperspace
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yngtdd
Distributed Bayesian Optimization
For the purpose of performing strong scaling experiments using HyperSpace, I propose the following: HyperSpace as it is has a method called “hyperdrive” which runs each subspace/optimization on its own...
Things to address: - [x] dependency changes - [x] benchmarks import issues
Is there a way to change the HyperSpace models to use less than a node per process? This will be the case for `XSEDE-Bridges` if we decide to run simulations,...
When I run python ~~~/benchmarks/rastigrin/benchmark.py I met bellow error ImportError: cannot import name 'robodrive'
Hello, I used to use the package ``` scikit-optimize 0.5.2 ``` and it worked fine. When I try my same experiment but using ``` scikit-optimize 0.7.4 ``` I have the...
Latin hypercube sampling currently handlings integer and real valued dimensions. Possible steps for categorical dimensions: - [ ] Create helper function that maps categorical dimensions to integer (based on index)....
