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License: MIT License
Bayesian active learning with EPIG data acquisition
License: MIT License
Dear Freddie,
First of all, thank you for your work. I am quite interested in active learning and also reached out to you via twitter :)
I'm trying to follow the instruction in the readme.md
. So after setting up the environment, I tried a line in two_bells.sh
python main.py --multirun rng.seed=range(100) data=two_bells/100k model=gaussian_process trainer=gaussian_process experiment_name=two_bells_100k acquisition.objective=bald
Then I got:
zsh: unknown file attribute: 1
I was able to run the command if I remove --multirun rng.seed=range(100)
part.
Would you take a look into this command issue?
Best,
Sangwoong.
I added cifar10 to your code and tried active learning. In results, random is better than epig when i used convolutional_nn and resnet18 as a model.
Is there any reason that epig is not working on cifar10?
thanks
Youngjin kim.
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