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# Notebook proposal
**Title**: Analysing ordinal data in PyMC
## Why should this notebook be added to pymc-examples?
Ordinal outcome variables are common in many data analysis situations. Example…
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I would like to create a simple function that i) automates the process of evaluating whether particular independent variables violate the parallel regression assumption and then ii) subsequently retu…
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Add support for ranking/ordinal regression problems.
Details on http://svmlight.joachims.org/.
Personally, I'm very interested in this, so I might have a go at it.
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Following the discussion #5066 (with input from @aseyboldt), I propose a new `ConstrainedUniform` distribution. An ideal use case for this is as a distribution for cutpoints in an ordinal regression.
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First of all, I appreciate the author's sharing of code and ideas. I would like to ask if the code is a complete reproduction of the paper "Fast kernel extreme learning machine for ordinal regression"…
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This is mostly just a checklist of the more important models we might want to support with fancy math. In theory, these are all supported automatically with broom (though we might want to have a gener…
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I have a dataset with close to 120 observations, 21 covariates and 5 response. I ran the ordinal ridge regression and while looking up the the intercept value it shows there is only one intercept for …
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I was curious about using SetFit for ordinal Likert scale outcomes (ie IMDB movie reviews). It doesn't seem like an obvious option in the SetFit API. Has anyone tried using SetFit for regression tasks…
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In the classification task, when using ordinal to encode the target column of a string type, an error will be reported. After checking the source code, it was found that in the 1021st line of code in …