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Itself the PMM are so unstable and for example the basic function like waitpid needs to PMM to will be rewritten to do this think work. So i add the issue to remember me that my PMM are unstable
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**Problem**: Saving a booster to PMML format is highly inefficient in size.
**catboost version**: 1.1.1
**Operating System**: MacOS
**CPU**: Yes
**GPU**: No
Using the example from https://catbo…
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I'd like to apply PCA before training a classifier and include both PCA transformation and the classifier into the PMML using the r2pmml package.
There is already a R package called pmmlTransformation…
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See https://github.com/jpmml/jpmml-transpiler/issues/21#issuecomment-1335099837
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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Is is possible to export models trained using Scikit-Survival (sksurv)?
This is the repos for sksurv: https://github.com/sebp/scikit-survival
sksurv contains a RandomSurvivalForest algorithm whi…
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Hi, I trained a CatBoost model by using categorical features, and there was an exception of feature-encoding when I tried to convert it to PMML.
Because the length of catFeatures is larger than 0, th…
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Hello, in the Monoforest paper (end of Section 4) it is mentioned that it's possible to take a model trained in LightGBM and transform it to "to an ensemble of symmetric trees", which I assume are obl…
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I exported my tree based regression model to PMML format. And based on this library I load the model file, evaluate it with unit cases and found its output score is quite different to the result when …