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Hello,
Thank you for your great package.
I would like to know why there is no Hyperparameters tuning performed for any of the models and if you can add it to one of the methods such as DeepSurv so…
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"We take different weight hyperparameters for the outputs (steer, gas, brake, speed), since the hyperparameters suggested in the paper did not work for us."
Do you mean the suggested hyperparameters …
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Hello,
are there any specific hyperparameters one should use when trying to reproduce the OGB node classification results? I extended the approach from the cora, citeseer, and pubmed dataset to the O…
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In VAT paper the hyperparameter xi is set to `1e-6` (only a small value coincides with taylor expansion), why in this repo it is `10`?
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Could this actually be used to optimize machine learning hyper parameters? Must there be an existing dataset of samples?
It would be cool to try optimizing my keras/tf network with this. I know thi…
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Thanks for your wonderful work. Well-organized project!
You have mentioned that you did a grid search on hyperparameters. Could you please provide the best hyperparameters for different datasets? o…
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Hi,
Thanks for sharing the codes and paper with us.
I was training a model with the default setting, python CPI_train.py IC50 new_compound 0.3.
From the message printed out during training, t…
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Love optunity. I can't seem to figure out how to optimize an integer hyperparameter. Here is my function:
@optunity.cross_validated(x=df_x.as_matrix(), y=df_y.as_matrix(), num_folds=5)
def xgb_mode…
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Hello :) thanks for this very interesting project !
I'm planning to reproduce results on One Piece dataset and then move to different datasets and do some attempts with the new technique of cycle-g…
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Hello,
Was wondering if the model weights made available at https://notanymike.github.io/rl/2017/12/18/Solving-CarRacing.html were produced using the PPO hyperparameters from the original Schulman …