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License: GNU General Public License v3.0
Explanation framework for machine learning using argumentation theory.
License: GNU General Public License v3.0
See screenshot and code attached:
loancases.zip
Eg; if threshold is 5%, then it only show features with contribution, property and value above 5%
Similar to what lime currently does with explanation.as_pyplot_figure()
When we call argView.generate() we need to include a backing and grounds. Is it possible to exclude these? Also, is it possible to generate ToulminVisualization with only the decision class and qualifier? Also for the FeatureListVisualizer can we only have the feature descriptions without the grounds explanations?
Also, the leading rationale for the Toulmin visualer does not match the explanations output (eg see image below).
Originally posted by @rmohan91 in #3 (comment)
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