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Apologies if there already is a mechanism for resetting the network; nothing seemed to come up on google for me.
With all of the functions to [set and get](http://lasagne.readthedocs.org/en/latest/mo…
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Scenarios currently cover single train-test-validation splits. It would be nice to have a mechanism for cross-validation as well.
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Dear Dr. Azevedo,
Thanks for your sharing of your codes, they are of great help!
It was wrriten in the paper that **25 random runs** were launched **for each test set**. This was the **outter 5-f…
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## Context of the issue
I'm encountering an issue while using TPOTClassifier with XGBoost where I receive a **ValueError indicating invalid classes inferred from the unique values of y. The expecte…
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### Describe the bug
Using KFold nested runs, within a sweep loop. Runs are grouped with a random id. But after the sweep / all folds are finished, only the most recent KFold run is persistent and …
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Is this by design?
The issue appears to be that e.g. KaplanMeierFitter.fit() takes T and E as series rather than a dataframe with column references for T and E (which is how CoxPHFitter seems to wo…
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### Description
From this discussion: https://discuss.ray.io/t/raytune-use-repeater-with-basicvariantgenerator/9042
Currently, you can't use a BasicVariantGenerator with a Repeater.
### Use cas…
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Currently, moabb stratifies and picks random samples from X for training (T)/validation (V) respectively. A simple assignment vector could look like this:
```
[T,T,T,V,T,V,V,T,T,V,T,V,T,T]
```
…
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Assignment 2 aims to find misinformation on social network, i.e., identify profiles that
are mistakenly recorded as human/non-human profiles
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