refactoring the documentation #17
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I changed the explanations for Unicity, Summation and Association. The quotes are from the article you linked. An option would be as well to leave your description and put the quotes as an explanation for the illustration. |
| @@ -88,7 +88,9 @@ that is the difference of what's in the combination space in that coalition and | |||
| ('D', 'A'), | |||
| ('C', 'D', 'A')] | |||
| ``` | |||
| As you can see, for example when combination is `{'D'}` the corresponding complement is `('C', 'B', 'A')`. Note the difference in types, combination space is an `OrderedSet` of `frozenset`s so the Shapley value calculations are quicker while complement space is an `OrderedSet` of `Tuples` So handling it in your objective function is easier. Speaking of, let's make the worst objective function that just produces random values regardless of what's what (see the example `on ground-truth models.ipynb` for a more elaborate version.)[(see the example `on ground-truth models.ipynb` for a more elaborate version.)](https://github.com/kuffmode/msa/blob/main/examples/on%20ground-truth%20models.ipynb) | |||
| As you can see, for example when combination is `{'D'}` the corresponding complement is `('C', 'B', 'A')`. Note the difference in types, combination space is an `OrderedSet` of `frozenset`s so the Shapley value calculations are quicker while complement space is an `OrderedSet` of `Tuples` So handling it in your objective function is easier. Speaking of, let's make the worst objective function that just produces random values regardless of what's what (see the example `on ground-truth models.ipynb` for a more elaborate version). | |||
| For that we use the function 'random.randit' which returns random integers. | |||
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It's actually "np.random.randint" because Python has a separate module called random, so it might be confusing.
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Hey you, Chapter „home“:
General stuff:
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