Comments (1)
closing as interpret has added better error messages to make it easier to diagnose the issue, when there are dependency problems causing the extension system to fail
from interpret-community.
Related Issues (20)
- WrappedClassificationModel() usage HOT 4
- ImportError: cannot import name 'TabularExplainer' HOT 3
- Issue when initializing explainer through TabularExplainer and KernelExplainer HOT 1
- Log scale combo box for Dependence plot's x axis HOT 2
- Replace load_boston with alternate regression dataset
- 'Expecting data to be a DMatrix object, got: ', <class 'pandas.core.frame.DataFrame'> HOT 7
- Question. How is the global explanation measured? HOT 7
- Question. How good is my surrogate model? HOT 8
- Explainers do not work with Keras models with multiple inputs HOT 10
- Calculate r2_score for PFIExplainer HOT 6
- Interpret explainer module question HOT 7
- Code Formatting Standards HOT 5
- TabularExplainer doesn't work with bias-mitigated model from fairlearn HOT 5
- How can I use MimicExplainer with Voting Classifier? [Question] HOT 5
- Dimension errors when using sklearn OneHotEncoder with min_frequency parameter HOT 1
- How can I get the data points of Aggregate feature importance ?
- Converting from NumPy array to list in mimic_explainer.py:_save()
- cannot import MimicExplainer HOT 7
- package `interpret-community` is incompatible with current `shap` version
- Getting <AttributeError: 'DynamicGlobalExplanation' object has no attribute 'get_ranked_per_class_names'> when running PFIExplainer
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