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# 📚 Documentation/Examples
Thanks for this awesome library! I'm really enjoying learning it, but I did get a little confused while
reading the documentation and would like to suggest an improvemen…
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I have a Tensorflow 2.x model which is using the TF preprocessing layer (tf.keras.layers.DenseFeatures) and the distributional layer from TF probability (DistributionLambda)
```python
def regres…
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The function `linear_rainbow` has an option to either order cases by a certain reference case order, or alternatively to calculate Mahalanobis distances to the center of the data and then build the ce…
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trying again for an overall design or design requirements for control chart
main original issue #4191 plus 2 PRs for earlier implementation
newer topics
- control charts based on beta distributio…
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This is an issue to keep track of how Linear Models, Ridge, Lasso perform on the following toy problem:
```
x
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The following is a list of features we're missing (or covering only partially) in Bambi
* Distributional models (we model more than the mean parameter of the response)
* Multivariate models (ie th…
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Classifiers have a `predict_proba` method that makes it possible to quantify probabilistic ally the certainty in the predictions for a given input `X_i`.
Currently most regressors in scikit-learn o…
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(I don't see an issue, but I thought it was mentioned before.)
Stata has accelerated failure time and proportional hazard parametric survival models. Implementing those is a GSOC idea that doesn't …
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Dear Enrico!
As requested, I will post my enhancement proposals here on github. Let's start with the generic example I gave. For example, I have 2 or more time points/groups and I want to predict s…