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I should add utility functions to help users initialize their training sets. That is, given hard bounds for parameter ranges, functions that generate sets of initial conditions for the user's foward m…
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In a completely clean environment I've tried to install emukit and run an intro code. And run into this error. It needs to be fixed, we shouldn't be requiring optional dependencies to run our intro co…
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It looks like possibly the lowest hanging fruit in terms of providing the user with options for the optimization strategy, and improving the results that come from uniform standards, have to do with q…
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It would be very convenient for developing and benchmarking to have a random search baseline that implements the OuterLoop interface such that, for example, it can easily be plugged into the benchmark…
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In the UQ tutorial “Simulation Ensemble creation and execution”, when implemented in Foqus, the statistical inference values ie: Sample Mean, Std Dev etc, along with the Probability Distribution bar p…
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**Is your feature request related to a problem? Please describe.**
Using PRISM to probe a large parameter space and then calling utils.get_walkers can be very expensive as the whole parameter space…
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If I want to restart the optimization, I might do something like (assume the following has been set up with the code in the README:
**SETUP**
```
using BayesianOptimization, GaussianProcesses, Di…
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In the python tutorial it says
>The function perform_experiments() takes the model we just specified and will execute 100 experiments. By default, these experiments are generated using a Latin Hyperc…
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What do you think of moving all of the code in pkg/suggestion used to generate suggestions to python? Right now three of the algorithms (grid, random, hyperband) are in go while two (rf + gp) are in p…
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Hi EmuKit team,
I'm interested in applying the Bayesian Optimization toolkit with GP regression to a problem of flow control.
I would like to kindly ask you a couple of (maybe very naive) quest…