[WIP ]Added labelwise metrics with tests #542
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@vfdev-5 I have at least added Accuracy with labelwise option. Wanted to further discuss Precision and Recall before implementing. |
vfdev-5
requested changes
Jun 5, 2019
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I'm not a fan of another bool flag labelwise. Idea is to introduce a new variable, e.g multilabel that takes values for example exact, labelwise, top-K with variable K (top-3, top-5 etc):
exactis currentis_multilabel=Truebehaviourlabelwiseis your implementation behaviour withlabelwise=Truetop-Kwith parsing K into an integer and computes top-k multi-label accuracy.
@anmolsjoshi what do you think ?
Old argument is_multilabel becomes deprecated and will be removed since 0.3.0
| def __init__(self, output_transform=lambda x: x, is_multilabel=False): | ||
| def __init__(self, output_transform=lambda x: x, is_multilabel=False, labelwise=False): | ||
| if labelwise and not is_multilabel: | ||
| raise ValueError("labelwise is only applicable for multilabel cases. If labelise=True, is_multilabel=True.") |
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Suggested change
| raise ValueError("labelwise is only applicable for multilabel cases. If labelise=True, is_multilabel=True.") | |
| raise ValueError("labelwise is only applicable for multilabel cases. If labelwise=True, is_multilabel=True.") |
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Fixes #513 and #516
Description:
Added tests
Check list: