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Hi there,
I'm using the ecospat package to fit an ensemble of small models that include both continuous and categorical variables. While the models fit successfully, I encounter an error when att…
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I am using DrOrthoForest to analyze CATE for different populations.
Since DrOrthoForest does not support string categorical variable. I am turning them into integers to use as categorical variable.
…
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Hi,
I've managed to register a lightGBM model to Model Manager, however I'm unable to score with this model in SAS as categorical inputs are registered as decimal. I was working off the FleetManag…
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have created a mixture model example for the Balls in urn example
[Ipython notebook example here ](https://github.com/deebuls/bayespy/blob/mixtureModelIpythonExample/doc/source/examples/ipython/Mix…
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## Willingness to contribute
The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (ei…
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# TODO
- [x] Investigate how useful these visualisations are to RAs - Ed has emailed the group on 13th August 2024
- [ ] Find a way to scan the database for all variables
- [ ] Are some variables not…
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### Current Behaviour
typeset.py:125: DeprecationWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, pd.CategoricalDtype) instead
is_valid_dt…
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XGBoost raises a `ValueError` when trying to train a model with a Polars dataframe with categorical data.
```python
import polars as pl
import xgboost as xgb
X = pl.DataFrame({
'num1': [1…
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Hi @slundberg,
I'm using DeepExplainer for a Keras functional model that combines two (pre-trained) models but I'm getting a weird error:
```
explainer_test = shap.DeepExplainer(model_wrapped, …
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NOTE: I am using this fork: https://github.com/ceshine/shap/ @ceshine
I have an MLP that has 2 inputs X_continuous and X_categorical. X_continuous is a tensor that is of type float and X_categorica…