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# 🚀 Feature Request
The function `optimize_acqf_mixed` in botorch/optim/optimize.py currently runs a sequential greedy optimization for q>1. Because of this, the function cannot consider inter-para…
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I get an error when checking the query for the TAPN _"alternating-bit-protocol"_ example net.
The error only seem to occur when the token bound is above 16 and inclusion check is enabled.
I execut…
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I'm confused about the set command in the second picture, since we don't use the sigmoid_factor in the optimization action. We only use it in the first picture to make the design more discrete. Am I w…
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Even if I set my ssm with gaussian_id emissions as follows, I get very different results each time I run the code:
`rslds = ssm.SLDS(D_obs, K, D_latent, transitions="recurrent_only", dynamics="gau…
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Hello, I'm practicing running mle on discrete functions, and have been having trouble using the opt.minimize function with discrete datasets in the examples I am working with. Can opt.minimize work wi…
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Greetings. I keep encountering this error each time I run a mixed integer (continuous plus discrete) parallelized optimization using CEOptim. Do you have any idea what this is and how I can fix it?
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Hi, all. We have to write our scientific and lay abstract. See https://github.com/hackseq/October_2016/issues/76
Please write a few sentences about your work here. I'll put them all together. Thanks!…
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The following example demonstrates the issue:
```
import GPyOpt
from numpy.random import seed
seed(1234)
def myf(args):
print(args)
x, y = args[0]
return (2*x)**2 + y
boun…
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related issue: covariance shrinkage, and possible other non-model penalization
PRs, current code in statsmodels
- discrete fit_regularized
- elastic net fit_regularized, GLM, OLS/WLS, minimal R…
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