Movatterモバイル変換
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ODRF 0.0.5
- Added linear model tree. Specifically, use parameter Xsplit as thesplitting variable for ODT and fit a linear model for each split usingthe function “gmlnet”. The corresponding parameter issplit=“linear”.
- Added the ensemble of ODT-based boosting trees,denoted byODBT.
- Changed the parameter “leafnode” to “type” in the functionpredict.ODT(), and for classification tasks, added category probabilityoutput.
- Optimized some other known issues.
ODRF 0.0.4
- Fixed function VarImp(), adding the method of measuring theimportance of variables with node purity, and now VarImp() can be usedfor both class ODT and ODRF.
- When the argument “Xcat ! = 0”, i.e., the category variable inpredictor X is transformed to one-of-K encode. however for the argument“NodeRotateFun=‘RotMatRF’ (‘RotMatRand’)“ run error, we have now fixedit.
- Added predicted values of training data for class ODT and ODRF.
- Fixed issue related to function predict.ODRF() when argument“weight.tree = TRUE”.
- Optimized some other known issues.
ODRF 0.0.3
- The function predicate.ODT() runs error when ODT is not split(depth=1), and we have fixed this bug.
- We have fixed the function predict.ODRF() with arguments numOOB andweight.tree related issues.
- We have fixed the functions plot.ODT(), VarImp() andplot.VarImp().
- We have fixed the argument ‘lambda’ of the functions ODT() andODRF().
ODRF 0.0.2
- We have now explained CART and Random Forest in the descriptiontext.
- We have changed the Date field to a more recent date.
- We have now exported the functions RandRot() and defaults(), and nolonger need ODRF:::
- We have removed par from plot.VarImp() and added on.exit toplot.prune.ODT(), and checked the code to make sure that it does notchange the user’s options, including par or working directory.
- We have removed the random seed number in functions ODRF(),poune.ODRF(), online.ODRF() and plot_ODT_depth().
ODRF 0.0.1
- Added a
NEWS.md file to track changes to thepackage. - This is the first fully-functioning version of the package. Itcurrently has no ERRORs, WARNINGs, or NOTEs from devtools::check().
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