interpret
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interpretml
Fit interpretable models. Explain blackbox machine learning.
Hello When I am attempting to run shap.Explainer on a trained ExplainableBoosting machine I get an exception c:\workarea\phd\research_project\envs\project_1\lib\site-packages\shap\explainers\_additive.py in supports_model_with_masker(model, masker) 84 if safe_isinstance(model, "interpret.glassbox.ExplainableBoostingClassifier"): 85 if model.interactions is not...
Conda Installation issues on Python 3.7: Output in format: Requested package -> Available versions
Hello, I understand that pip is the preferred method of installing packages. I'm writing this issue so that if anyone else who uses conda for their package manager to potentially...
Hello! Thanks for creating this great open source repo! I wanted to discuss some basic questions. I'm not the most familiar with this repo or the example datasets so please...
When trying to do binary classification with EBM I'm receiving the error below if I fit a dataset twice. I'm using interpret==0.2.7 from pip. ## Explanation ```python ebm = ExplainableBoostingClassifier()...
Can we add some random values/treat them as ""null"" for missing data. So that we can avoid error in during data exploration using : hist = ClassHistogram().explain_data(X_train, y_train, name =...
I run `interpret` in GCP Jupyter and ``` ebm_global = ebm.explain_global() show(ebm_global) ``` Doesn't show anything. The simplest method to sidestep this would be to call some method that just...
Hi! Are there plans to implement monotonic regressors, like it is possible for LightGBM, for example? Thank you! Best Robert
Hi @interpret-ml team, ## Context I'm working on a NLP , multiclass problem and feeding tokens using TF-IDF as the feature vector to a OneVsRest classifier wrapped over an EBM....
Hi @interpret-ml 1. Do you plan on adding staged prediction similar to [XGBoost's ntree_limit/iteration_range](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.XGBClassifier.predict_proba)? 1. Do you plan on adding warm starts similar to [scikit-learn's GBM warm_start](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html)? Thanks for your...
First of all, thank you for the brilliant ML technique you developed. I read some of the Python tutorials and decided to replicate some of them in R. These are...
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Fit interpretable models. Explain blackbox machine learning.