explanation¶

Classes¶

Module Contents¶

class explanation.Explanation(maps, prediction_func, data, args, run_stats, keep_all_maps=False)¶

Parameters:

maps (rex_xai.responsibility.resp_maps.ResponsibilityMaps)
data (rex_xai.input.input_data.Data)
args (rex_xai.input.config.CausalArgs)
run_stats (Dict[str, float])

target_map: torch.Tensor | None¶

sufficiency_mask: torch.Tensor | None = None¶

sufficiency_confidence: float | None = None¶

necessity_mask: torch.Tensor | None = None¶

complete_mask: torch.Tensor | None = None¶

prediction_func¶

data: rex_xai.input.input_data.Data¶

args: rex_xai.input.config.CausalArgs¶

run_stats: Dict[str, float]¶

__repr__()¶

Return type:: str

extract()¶

blank()¶

set_to_true(coords, mask=None)¶

__build_insertion_mask(ranking, chunk_pointer, ind, mask, mask_memo)¶

__global(map=None, rounding=4)¶

__generate_circle_coordinates(centre, radius)¶

Parameters:: radius (int)

__draw_circle(centre, start_radius=None)¶

compute_masked_responsibility(mask)¶

__spatial(centre=None, expansion_limit=None)¶

__build_contrastive_masks(ranking, ind, chunk_pointer, insertion_mask, insertion_memo, deletion_mask, deletion_memo)¶

__complete(ranking, insertion_mask, insertion_memo, mask_shape, starting_pointer, rounding=4)¶

contrastive()¶

save(path, mask=None)¶

heatmap_plot(path=None)¶

surface_plot(path=None)¶

show(path=None)¶