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[SHAP Explainability](https://shap.readthedocs.io/en/latest/example_notebooks/overviews/An%20introduction%20to%20explainable%20AI%20with%20Shapley%20values.html) provides an explanation for the output…
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In README,
"Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark tree models"
Do you reckon the current repo can be translated into a C++ version as well?…
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{code:python}
df = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/gbm_test/titanic.csv",
col_types = {'pclass': "enum", 'survived': "enum"})
train…
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@tonyyang-svail
I have some questions on xgboost model train and pred. In "sqlflow/python/sqlflow_submitter/xgboost/train.py", it saves the trained model locally via:
`bst.save_model("my_model")`
…
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I get the following error when trying to generate the large-v3 quantized coreml model:
```
$ ./models/generate-coreml-model.sh large-v3-q5_0
scikit-learn version 1.3.0 is not supported. Minimum req…
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- Nuitka version, full Python version, flavor, OS, etc. as output by *this exact* command.
2.4.4
Commercial: None
Python: 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:30) [MSC v.1933 64 bit (…
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We want some baseline models for comparison.
This can include:
[ ] Smart Persistence
[ ] XGBoost model
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For the binary classification case, when using TreeExplainer with scikit-learn the shap values are in a 3D array where the 1st dimension is the class, the 2nd dimension rows and the 3rd dimension colu…
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We should provide support for users to get timestamped embeddings given a pretrained model.
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## Proposal to leave missing values as missing (at least for now)
I'm working on code for XGboost and Catboost models, and am deciding how to handle missingness. I am guessing Catboost will be the pr…