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- Accuracy
- Recall
- Precision
- F1 score
- AUC
Focus on the basic neural network without foolbox.
evaluation.py
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**TL;DR:** When deserializing a remote function handle on a different cluster, we should trigger re-exporting of the remote function. Currently, this will sometimes not happen, and importing the funct…
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Implement validation set during hyperparameter tuning (finalization of model).
Review K-fold cross validation.
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Which metric should be used in order to make the model comparable?
For which category of prediction do we use which metric?
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Hi Berk,
I am trying to run the RiskSLIM model for my own dataset and am trying to do a nested k-fold cross-validation (same as what you've done in the paper). However, I wasn't able to find the co…
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## Context
- In #605 we tried to improve our NER model by leveraging the NER-annotated sentences generated from the Ontology.
- However, that didn't work because the quality of the annotations was t…
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Hi again :)
I am running `python main.py --mode=train --dataroot=.\` and I am getting the error:
```
Traceback (most recent call last):
File "main.py", line 40, in
main(args)
File "main…
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Hi,
With my research lab we are trying to apply GRU-D to our health metrical data.
Unfortunately, when running the Run script, starting the first epoch, we have the following error apparently comi…
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Hi! Thanks for the great package!
Any ideas on why the same dataset works for all models, except the dsm one?
here is the error log:
```
At hyper-param {'distribution': 'Weibull', 'k': 2, 'layer…
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