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A linear model we are going to add to `datatable.models` should support binomial and multinomial classifications, as well as numeric regression. It should be a regularized model with stochastic gradie…
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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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great code thanks
may you clarify :
will it work for multivariate time series prediction both regression and classification
1
where all values are continues values
weight height …
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Bonjour. J'ai utilisé votre Notebook http://www.xavierdupre.fr/app/papierstat/helpsphinx/notebooks/text_sentiment_wordvec.html comme point d'entrée pour découvrir les possibilités de traitement de tex…
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I'd like to propose a few changes to our Formula/ModelMatrix interface:
- Make it possible to generate a model matrix in which observations are columns in addition to the current implementation in whi…
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### Description
Adding new regression procedures
### Purpose
_No response_
### Use-case
Useful in situations with small datasets, in which separation is likely to be a problem
### Is your featur…
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Hi,
I am using a Mac Catelina
This is what I did when installing
```
conda create -n songbird_env python=3.6 numpy=1.15.4 scikit-bio=0.5.5 seaborn pandas=0.23.4 -c conda-forge
source activat…
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Looking at the common generalized linear models, the binomial distribution is implemented, but the multinomial (its general form) is not. It also seems that `GLM.LinPred` is constrained to be a vector…
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The idea of posteriori is basically advanced napkin math, so you don't want to get bogged down with false precision. That said,
1. maybe you have data
2. maybe you _have_ fit some sort of model, eith…
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It looks like the code for `_summarize()` assumes that both stats inputs have the same summary interval:
https://github.com/biocore/songbird/blob/2c4cf016ba8689b48fff6ee7eb5231068da76b55/songbird/q…