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Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest some…
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Function _VariableSelection()_ returns matrix of beta with 4 dimensions when _family = multinomial_. The fourth dimension, I assume, corresponds to the outcome variables including the reference catego…
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Issue: std_coef_plot method in h2o.model.model_base.ModelBase class plots multinomial logistic regression standardized coefficients as the the sum of the absolute values of each class's regression coe…
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`predict_particles` throws a `MethodError` when I try to use it in the multinomial logistic regression example.
The error is: `ERROR: MethodError: no method matching &(::Particles{Bool,1000}, ::Par…
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``` r
library(nlme) ## mixed models with more advanced covariance structures
library(lme4) ## mixed models for glm
library(mlogit) ## multinomial (mixed) logistic regression
library(mnlogit) ## multi…
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This week we applied binomial regression on the the train dataset, using only the "true" and "false" labeled data. Furthermore, we made a brief start with implementing multinomial logistic regression …
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This is underway in #10, with some final bells and whistles and checks still TODO. This issue is just so we can keep track of this outside of the PR.
adw96 updated
1 month ago
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####Learning Goals
Binary Classification, Logistic regression and Data Preprocessing
###Exercise Statement
Credit card fraud classification using Logistic Regression
###Prerequisites
Basic un…
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Hey! Let's submit some things on Kaggle!
Aaron:
- make _stratified_ cross-val stuff
- try LDA
- try benchmarking some null models - compare with Kaggle scores?
Jaime:
- check out `caret`?
- still tr…
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### Description
The regression model includes frequentist, but not (yet) Bayesian logistic/generalized linear models
### Purpose
Expand JASPs excellent Bayesian capabilities further beyond linear r…