| Name : R-ForestDisc
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| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.11.1
| Date : 2024-06-20 10:57:58
|
| Group : Development/Libraries/Other
| Source RPM : R-ForestDisc-0.1.0-lp155.11.1.src.rpm
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| Size : 0.04 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Forest Discretization
|
Description :
Supervised, multivariate, and non-parametric discretization algorithm
based on tree ensembles learning and moment matching optimization. This
version of the algorithm relies on random forest algorithm to learn a
large set of split points that conserves the relationship between
attributes and the target class, and on moment matching optimization to
transform this set into a reduced number of cut points matching as well
as possible statistical properties of the initial set of split points.
For each attribute to be discretized, the set S of its related split
points extracted through random forest is mapped to a reduced set C of
cut points of size k. This mapping relies on minimizing, for each
continuous attribute to be discretized, the distance between the four
first moments of S and the four first moments of C subject to some
constraints. This non-linear optimization problem is performed using k
values ranging from 2 to \'max_splits\', and the best solution returned
correspond to the value k which optimum solution is the lowest one over
the different realizations. ForestDisc is a generalization of RFDisc
discretization method initially proposed by Berrado and Runger (2009)
< doi:10.1109/AICCSA.2009.5069327>, and improved by Berrado et al. in
2012 by adopting the idea of moment matching optimization related by
Hoyland and Wallace (2001) < doi: 10.1287/mnsc.47.2.295.9834>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
