Add filter functions for explanations and shap_values #120
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mirand863
reviewed
Apr 15, 2024
| # Specify additional filters to obtain only level 0 | ||
| shap_filter = {"level": 0, "class": "Respiratory", "sample": respiratory_idx} | ||
| # Filter samples which only predicted "Respiratory" | ||
| respiratory_idx = explainer.get_sample_indices(predictions, "Respiratory") |
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What do you think about making it more pandas-like? For example respiratory_idx = predictions == "Respiratory"?
mirand863
reviewed
Apr 15, 2024
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| # Use .sel() method to apply the filter and obtain filtered results | ||
| shap_val_respiratory = explanations.sel(shap_filter) | ||
| shap_val_respiratory = explainer.filter_by_class( |
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Alternatively, I guess you can probably call the method get_sample_indices inside this other method filter_by_class, simplifying it for the user
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settled in this option for now
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should I be aware of all time queued tests? |
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Added filtration and helper function what aims to make the interface more user-friendly