Comments (1)
We should probably hold off on this as a lot of people are still using Keras and TF2.0 is not out yet, closing for now.
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Related Issues (20)
- IndexError with AnchorExplainer and Yolov8
- `typing-extensions` 4.6.0 breakage HOT 1
- Predictor attr not properly cleared when saving HOT 2
- `numba` warnings regarding `nopython` keyword HOT 3
- `PartialDependenceVariance` cannot be saved
- CI failing due to use of `np.int` in `shap` HOT 2
- How to pass parameters to the /api/v1.0/explain using AnchorImage? HOT 2
- `KernelShap` returns no explanations when `link='logit'` and predicted proba is 0 or 1
- RuntimeError: The Session graph is empty. Add operations to the graph before calling run() HOT 6
- RuntimeError: tf.placeholder() is not compatible with eager execution.
- RuntimeError: The Session graph is empty. Add operations to the graph before calling run().
- TypeError: 'float' object is not subscriptable
- PDP plots failing with `matplotlib==3.8.0` HOT 1
- `matplotlib` 3.8.0 type hints for public APIs result in type-checking failures
- Logo in README.md HOT 1
- Columns and DataType Not Explicitly Set on line 61 of data.py
- When use explainer.fit(X_train)οΌit went into a loop of error
- After getting anchors, how to use it to predict the label of an instance?
- Mixed continuous and categorical features in the AnchorTabular explainers (my dataset doesn't contain NaNs)
- New release? HOT 1
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