progressive: Multilabel classification model which learns sequentially (online).
Progressive is a multilabel classification model which learns sequentially (online). The set of labels need not be known in advance: the learner keeps a constantly updated set of top N most frequent labels seen so far and predicts labels from this set.
|Dependencies||base (==4.*), binary (==0.7.*), bytestring (==0.10.*), containers (==0.5.*), directory (==1.*), filepath (==1.3.*), ghc-prim, process (==1.1.*), text (==0.11.*) [details]|
|Maintainer||Grzegorz Chrupała <firstname.lastname@example.org>|
|Uploaded||by GrzegorzChrupala at Tue Nov 12 16:39:42 UTC 2013|
|Downloads||842 total (9 in the last 30 days)|
|Rating||(no votes yet) [estimated by rule of succession]|
|Status||Docs not available [build log]
All reported builds failed as of 2016-12-20 [all 9 reports]
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