| Name : R-subsemble
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.11
| Date : 2024-06-14 12:02:28
|
| Group : Development/Libraries/Other
| Source RPM : R-subsemble-0.1.0-lp153.1.11.src.rpm
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| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : An Ensemble Method for Combining Subset-Specific Algorithm Fits
|
Description :
The Subsemble algorithm is a general subset ensemble prediction method,
which can be used for small, moderate, or large datasets. Subsemble
partitions the full dataset into subsets of observations, fits a
specified underlying algorithm on each subset, and uses a unique form
of k-fold cross-validation to output a prediction function that
combines the subset-specific fits. An oracle result provides a
theoretical performance guarantee for Subsemble. The paper, \"Subsemble:
An ensemble method for combining subset-specific algorithm fits\" is
authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014)
< doi:10.1080/02664763.2013.864263>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
