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Hi, thanks for the great package! Very interesting new methods.
I wanted to check: what's the best way to deal with an external function? For example, I have data X and Y data from a black-box func…
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Hi,
Trying to use GPyOpt in parallel. My code (and the example code) fails when num_cores > 1, at least under Python 3.7 - currently unable to try other versions. Example code:
```python
import…
Mi5ke updated
5 years ago
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I am currently running a big optimization and suggesting new locations starts to get slower.
The problem I am working on has about 20 dimensions to optimize and I was hoping I could use gpyopt to fi…
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```
If you want to use BayesianOptimization you have to install the following dependencies:
https://github.com/automl/RoBO
george
RUNNING sampled configs
Traceback (most recent call last):
Fil…
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I am tuning an ANN model using the Keras Tuner, using the Bayesian optimizer as follows:
```
tuner = BayesianOptimization (
build_model,
objective=kt.Objective('val_auc', direction='max'…
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**System information**
- Have I written custom code (as opposed to using example directory): No
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10
- TensorFlow backend (yes /…
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崔老师您好，我在学习您的DGBO_GC方法，我采用的overfit_type是默认的opt。目前程序运行初始化参数，代码如下：
def initialization(data,n,info):
print ("-----------initialization-----------")
xlist=np.linspace(0,len(data.candidates)-1,le…
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The BayesianOptimization tuner doesn't return the model with the best `val_loss` and "Best val_loss So Far" increases sometimes. Am I misunderstanding how the tuner works? Wouldn't the "Best val_loss …
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I have noticed that only "epoch_0" is saved in checkpoints. Is this something normal ? Or is there something to do in order to save the best epoch (and not only epoch_0) ?
My point is that I would …
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[**EDIT**: added simpler example and description]
Consider the example below:
```python
import GPyOpt
import numpy as np
np.random.seed(1234)
X_step = np.array([[x] for x in [-50.0, 25.0, …