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Hi, I really enjoy your code and try to implement it on the gaussian process regression based on kernlab package.
Here is my code
`x
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Hey all,
According to the issues I read in this repository, the batch_size>1 only works with the local_penalization evaluator, and not with sequential or any other evaluator model.
I have set up…
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I would like to run BBO-LP. First, I would like to have my initial design points e.g.
X = initial_design('latin',space,data_init)
Y = myfunction(X)
Then, I use:
BO_demo_parallel = GPyOpt.m…
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The following code crashes for me:
```python
opt = GPyOpt.methods.BayesianOptimization(f=fit_rules,
model_type="RF",
…
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I am trying to adopt the following code for Bayesian optimization to use with my own data:
https://eagerai.github.io/kerastuneR/articles/BayesianOptimisation.html
I have the following:
```
#…
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Hi I found a problem in bayesian_optimization.py where it pushes kwargs to AcquisitionOptimizer in wrong way such that GPyOpt users cannot specify which GPy models to use by their own appetite.
1) …
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GPyOpt version `1.2.1`
python3 version : `3.6.5`
I would like to run `suggest_next_locations` with batches of `batch_size`> 1, when setting `evaluator_type='local_penalization'` but there seems t…
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1. The documentation at http://gpyopt.readthedocs.io/en/latest/GPyOpt.methods.html#module-GPyOpt.methods.bayesian_optimization has a typo in **Model_type** - it is not "warperdGP" but "warpedGP"
2. U…
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I have a model that I use for training.
It basic structure look like this:
My_model(image_size=(img_height, img_width, img_channels ),
n_classes=n_classes,
mode=m…
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Hi,
I have some questions about the true best value in BO. my code is listed as below:
```
%pylab inline
import GPyOpt
from numpy.random import seed
import numpy as np
import matplotlib.pyplot …