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Develop #61

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merged 7 commits into from
Jul 26, 2020
Merged

Develop #61

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f91a5cd
updated readme
plutasnyy Jul 25, 2020
86431ef
updated docs
plutasnyy Jul 25, 2020
014fe39
removed benchmakrs
plutasnyy Jul 25, 2020
80f26f4
fixed soup bagging docs
plutasnyy Jul 25, 2020
ebaecbd
update gitignore
plutasnyy Jul 25, 2020
1aa6a9d
removed unused file
plutasnyy Jul 25, 2020
339928a
Merge pull request #60 from damian-horna/update-docs
plutasnyy Jul 26, 2020
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fixed soup bagging docs
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@plutasnyy
plutasnyy committed Jul 25, 2020
commit 80f26f4363184943e94fa12f24965e6371b17bc0
13 changes: 8 additions & 5 deletions multi_imbalance/ensemble/soup_bagging.py
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Expand Up @@ -81,11 +81,14 @@ def predict(self, X, strategy: str = 'average', maj_int_min: dict = None):
:param X:
{array-like, sparse matrix} of shape = [n_samples, n_features]. The training input samples.
:param strategy:
WHERE
-'average' - takes max from average values in prediction
-'optimistic' - takes always best value of probability
-'pessimistic' - takes always the worst value of probability
-'mixed' - for minority classes takes optimistic strategy, and pessimistic for others. It requires maj_int_min
* 'average' :
takes max from average values in prediction
* 'optimistic' :
takes always best value of probability
* 'pessimistic' :
takes always the worst value of probability
* 'mixed' :
for minority classes takes optimistic strategy, and pessimistic for others. It requires maj_int_min
:param maj_int_min:
dict. It keeps indices of minority classes under 'min' key.
:return:
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