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.
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- progressive-0.1.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.1.0.1 |
|---|---|
| Dependencies | base (>=4 && <5), binary (>=0.7 && <0.8), bytestring (>=0.10 && <0.11), containers (>=0.5 && <0.6), directory (>=1 && <2), filepath (>=1.3 && <1.4), ghc-prim, process (>=1.1 && <1.2), text (>=0.11 && <0.12) [details] |
| License | BSD-3-Clause |
| Author | Grzegorz Chrupała |
| Maintainer | Grzegorz Chrupała <g.chrupala@uvt.nl> |
| Home page | https://bitbucket.org/gchrupala/progression |
| Uploaded | by GrzegorzChrupala at 2013-11-12T16:39:42Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Executables | progressive |
| Downloads | 1758 total (6 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs not available [build log] All reported builds failed as of 2016-12-20 [all 9 reports] |