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Separate corpus cleaning from the generate folds step so that it is actually a preprocess step for our normal workflow. This way we can have a clean corpus that we port around without having to redo i…
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Hi,
I found a problem while using VGGMM. Here is the code that does not work :
```
clf = mixture.VBGMM(n_components=2)
clf.fit(X_train, y_train)
# create a k-fold cross vali…
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Once #4294 is merged, we might want to think about changing some of the api / default behaviors of the contents of this module.
There are several breaking changes that I'd like to make, and this migh…
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I am copying @tbreloff post from: https://github.com/Evizero/LearnBase.jl/issues/14#issuecomment-193793222 since I think this is the right place
> Ok I'll try to add to MLDataUtils... again it will p…
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Based on [LSTM to IMDB sentiment dataset classification task](https://github.com/tflearn/tflearn/blob/master/examples/nlp/lstm.py) example, I tried to perform multiclass classification over my own cor…
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I've tried replicating the results from the [quadwell-n-states notebook](https://github.com/msmbuilder/msmbuilder/blob/master/examples/advanced/quadwell-n-states.ipynb) with my own MD simulations to d…
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If only one class is presented to a classifier in a non-multi-label setup, it should ~~raise an error~~.
give a warning. This should be tested for in the common testing framework.
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Providing a feature like cross-validation would be fine.
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right now there is still this placeholder code https://github.com/Evizero/LearnBase.jl/blob/master/src/optim/optim.jl#L6-L26 I was working on. I think the current best way would be to utilize Optim.jl…
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In #89, we added a random seed to our examples. I think it would be nice if we had an option to set the seed globally, e.g. `ws.set_seed` for the OO API.
cbrnr updated
8 years ago