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Post solution here: https://stats.stackexchange.com/questions/168262/ordinal-logistic-regression-in-python
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**Notebook title**: Regression Models with Ordered Categorical Outcomes
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/GLM-ordinal-regression.html
## I…
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Similar to #695 (closed). In the original discussion, participants did not seem to understand the difference between "learning-to-rank" and "ordinal classification". "learning-to-rank" produce relativ…
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Thank you very much for your code's contribution to the field of ordinal regression. Your code is poetic.Could you please make public the Lower bounds and Upper bounds results you obtained in CLAP2015…
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When creating a message with `hellö` in it and attempting to send it, Dodo fails with:
```pytb
Traceback (most recent call last):
File "/home/florian/proj/dodo/dodo/compose.py", line 445, in ru…
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It should be straightforward to implement an L2 regularization of linear ordinal regression. Doing so for L1 and/or then writing tests will be more challenging.
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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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``` 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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**Is your feature request related to a problem? Please describe.**
Currently only token classification and text classification are supported for NLP. However, there are important cases for text reg…
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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…