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When defining a cross validating experiment, I'd like to be able to define the proportion of records in the input set that are used in training vs testing. A common practice is specifying the % of rec…
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I have trained a NEP model on ~130 structures; the model itself seems fine for the most part, but the predicted energies are rather odd. A parity plot based on the contents of `energy_train.out` has b…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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Hello!
First of all, thanks for this amazing tool.
I have a question:
I want to perform node classification on my network composed of 2410 nodes. Since now, I split my nodes using the function `Add…
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Hi,
I'm struggling with an error message with ENMevaluate. I find that Patrick meet the same bug in 2019, I referent it but still have a problem. I used function "get.checkerboard" , and I extract …
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「9.9. 並列に複数の Job を実行する」の以下の箇所ですが、 k-fold cross validation では、k個への分割自体は一回行ったら固定で、その使い方の方を変える（1つを検証データにして残りのk-1個を訓練データにしてモデルの評価を行うのをk通り繰り返す）ので、「分割の乱数を変えて」というのは正しくないと思いました。
https://github.com/tomomano…
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I am running a model with 2 random levels - one unstructured and one temporal by year. We expected the cross-validation step to take approximately k times the runtime of the sampleMCMC step, k being …
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with open('exp/exp_%s/%s.txt' % (args.dataset, args.unique_name), 'w') as f:
f.write('Dice HD ASD\n')
for i in range(args.k_fold):
f.write(str(Dice_list[i]) +…
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hi
Can i use stratified k fold cross validation in place of holdout cross validation in this algo..What changes should i make for doing it? I want to use 5 fold cross validation on my dataset ...ca…
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Hello!
First of all, thanks for this amazing tool.
I have a question:
I want to perform node classification on my network composed of 2410 nodes. Since now, I split my nodes using the function AddT…