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To authors of this publication,
For a final group project in my statistics course, we chose to replicate your regression analyses. I am curious as to why you have an ordered logistic regression inc…
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It would be very useful if glmmTMB supported different types of ordinal regression, e.g. the proportional odds model (cumulative link logit model).
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Prof. Raschka had an idea of prioritizing clusters instead of individual compounds. His idea was to use ordinal regression to predict the number of actives in the cluster. This would require featuri…
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Wonderful package!
Can this package/framework also be used to model ordinal outcomes (i.e., without treating Y as nominal or continuous) to model cumulative probabilities, like Pr(Y
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Hi,
I have a task where my class types are ordinal and I am using the code provided here. But the performance after adding this param worsens, I wanted to know if my understanding of the params is …
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The computed ISO date should be `2000-12-31`, but instead it returns `2001-01-00`.
Not a regression from release 1.5, also reproducible with release 1.4.
Test case:
```rs
use icu::calendar::Da…
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#### Describe the workflow you want to enable
If the target is discrete multiclass, but ordinal (ordered) in nature (e.g. Likert scale, user ratings, preference levels), as opposed to nominal, wo…
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This is fairly straightforward extension of the current cleanlab functionality. Contributors welcomed!
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Used dataset (http://h2o-public-test-data.s3.amazonaws.com/bigdata/laptop/glm_ordinal_logit/ordinal_multinomial_training_set.csv) from tutorial to configure grid search
hyper_parameters = {'alpha'…
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Hi, thank you for the nice code. It was really nice to refer to.
I am a fresh man in deep learning so if the question is dumb, please excuse me.
I am not sure but in the paper, the ord_prob is cal…