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As an alternative to MLP, we want to allow using a logistic regression head (+ grid search to find the best hyperparameters C1 & C2). TBD, but likely it would make sense to keep the dataset train/val …
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Is the `pretty_ad_output = np.exp(pretty_ad_output)` line correct?
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I've been spending a lot of time the last couple days trying to get the right transformation function. And it occurs to me what I really want is bins, and then the method I want is multinomial classif…
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When I run the GWAS_call_batch.R, using your example datasets in the Data folder, I got the following error:
"Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
NA/NaN/Inf …
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**Summary !!!**
- **BioModel Name**: Merget2013 - Mycobacterium tuberculosis permeability prediction tool
- **BioModel Tag**: Machine learning model, Ersilia
- **Metadata Comments**:
1. A…
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It seems hard to find how the parameters specified / input by users will be used in data generation for a particular family. For example, suppose I have $A$ (binary treatment indicator) ~ $I_1+I_2+I_3…
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I noticed in the notebook GLMest.ipynb, you don't add a constant column to X. Are you not supposed to?
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결측치 처리만 하고 초기모델 구축하기
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While "good" and "bad" are useful classes for training, there's no real reason why we couldn't create additional classifications that are automatically categorized - e.g. "solvent peak" or "only in st…
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I'm needing to run logistic regression, ideally with the ability to be multinomial. I noticed that you ( @simonster ) also built a wrapper for GLMnet; have you had any plans on adding this feature to …