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- adds a `class_index` parameter to `TabularExplainer` and `Explainer` to specify the class index to be explained for classification models [#271](https://github.com/mmschlk/shapiq/issues/271) (renames `class_label` parameter in TreeExplainer to `class_index`)
- adds support for `PyTorch` models to `Explainer`[#272](https://github.com/mmschlk/shapiq/issues/272)
- adds new tests comparing `shapiq` outputs for SVs with alues computed with `shap`
- adds new tests for checking `shapiq` explainers with different types of models
#### Bug Fixes
- fixes a bug that `RandomForestClassifier` models were not working with the `TreeExplainer`[#273](https://github.com/mmschlk/shapiq/issues/273)
