Related Issues (20)
- XMultiClassifier Implementation
- Multiclass Client
- API key management
- Local Explanation Plotting
- GUI for Model Training
- GUI for Preprocessing
- Improve and complete unit testing HOT 3
- Add key attributes to the BasePartition class
- Xplainable as a surrogate model
- Xplainable Forecasting
- Add .score method to Classifier and Regressor to adhere to standard comparisons
- Add NLP explainer to package
- Enhance .explain() method in BasePartition
- Auto-Blueprint for Data Preprocessing
- MLflow Integration (dependent on Surrogate Modelling)
- Creating a Conda Install for Xplainable Python Package HOT 1
- XClassifier fails and raises Division By Zero error when training data column contains 100% null values HOT 1
- X_Classifier.predict_proba returns array of shape (n_samples, 1) instead of (n_samples, 2). HOT 3
- ENH : Option to explicitly mention categorical columns during fit
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from xplainable.