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Our blue-white-red color map is great for continuous variables, but for categories we might want to have another choice. In particular, I was thinking of using Colin Ware's 12 colors recommended for …
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I apologize in advance if I'm missing something obvious here. How would one go about setting up a model in Edward, say the Bayesian Linear Regression example, with categorical "X" covariates? There'…
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I am working on a heart disease dataset which has continuous variable as a treatment (thalach) and outcome categorical(target).There is another variable that the treatment affects (exang) which is cat…
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Several of seaborn's functions for plotting categorical data don't cope well when the categories list includes unused categories.
I've noticed two main issues:
1) element width shrinks
2) ele…
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- [x] Fix the `data` object attached to the `FacetGrid` returned from `catplot` (#3494)
- [x] Add a `log_scale` parameter (#3445)
- [ ] Reduce some of the redundancy in the `*plot` function bodies (…
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Add functionality for categorical wombling
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**General Information:**
- OS: Linux & MacOS Ventura 13.5.2
- Python version: 3.8.5
- Library version: 0.10.5
**Describe the bug:**
On occasion, some categorical columns produce the follow…
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Xgboost supports categorical values directly, without going through a one-hot sparse array.
In the example below, I specify the `a` series to be a categorical int type. Then I pass the `enable_catego…
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Is there any plan on developing plots based on a categorical x-axis? For example things like [box plots](https://en.wikipedia.org/wiki/Box_plot), [violin plots](https://en.wikipedia.org/wiki/Violin_pl…
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Thank you for sharing the implementation. How to use the algorithms if we have categorical (nominal) variables in our data? Do we need to encode them first?