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**Please describe the module you would like to add to bricks**
Bayesian optimisation to train an active learner classification head. In the context of NLP, BO could be used to optimise the hyperparam…
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***DEPRECATED see below!***
# DEPRECATED
List of packages available in the competition docker:
- absl-py==1.4.0
- acme==2.6.0
- aiosignal==1.3.1
- alabaster==0.7.13
- ale-py==0.8.1
- a…
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Since my previous file was reading parameters and results from a dataset that would be troublesome, I tried to modify a new sample code to restore the problem. Just run the python file. func is arbitr…
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`# -*- coding: utf-8 -*-
"""
Created on Wed Mar 15 10:41:32 2023
@author: lmy818
"""
import numpy as np
from bayes_opt import BayesianOptimization
import matplotlib.pyplot as plt
from scip…
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Choosing the initial exploration points as independent random variables is not optimal for achieving high coverage of the parameter space. One better solution is using a Latin hypercube.
This coul…
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Hello.
Thanks for your bayesian optimization codes, it's really helpful.
I have a question in a suggestion mechanism.
When I run the code, there was a next suggestion point mismatch, between the v…
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Hi, as described above, here is my excuteable code:
```python
import numpy as np
from bayes_opt import BayesianOptimization,UtilityFunction
import matplotlib.pyplot as plt
from matplotlib import …
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The full list of available packages (with the DockerFile) and a simple script to install everything will be detailed in the next messages.
The docker image (as of writing) if `l2rpn.idf.2023.1` tha…
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**Describe the bug**
Don't know if this is a bug or simply a valid restriction on use. While doing a search using a tiuner I got the following error:
```shell
Traceback (most recent call last):…
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I met an error when executing the code shown in the **Basic tour of the Bayesian Optimization package** part. My code is the same as the demo, except the parameters for maximize() method.
```
def bl…