Intgrad multiple inputs #321
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jklaise
suggested changes
Nov 30, 2020
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| def _calculate_sum_int(batches: List, | ||
| model: Union[tf.keras.Model, 'keras.Model'], | ||
| target: List, | ||
| target_paths: np.ndarray, | ||
| n_steps: int, | ||
| nb_samples: int, | ||
| step_sizes: List, |
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Can we be more explicit about the types? Are these List[tf.Tensor] or List[List[tf.Tensor]]?
Codecov Report
@@ Coverage Diff @@
## master #321 +/- ##
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- Coverage 86.08% 86.07% -0.01%
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Files 56 56
Lines 7029 7155 +126
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+ Hits 6051 6159 +108
- Misses 978 996 +18
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jklaise
approved these changes
Dec 2, 2020
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Extends the integrated gradients method to model with multiple inputs. For each input of the model, attributions are calculated and returned in a list. Also extends the method allowing to calculate attributions for multiple internal layers. If a list of layers is passed, a list of attributions is returned.