RandomForest.c File Reference

#include "party.h"
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Functions

SEXP R_Ensemble (SEXP learnsample, SEXP weights, SEXP bwhere, SEXP bweights, SEXP fitmem, SEXP controls)

Detailed Description

Random forest with conditional inference trees

Author:
Author
hothorn
Date:
Date
2010-06-24 13:21:31 +0200 (Thu, 24 Jun 2010)

Definition in file RandomForest.c.


Function Documentation

SEXP R_Ensemble ( SEXP  learnsample,
SEXP  weights,
SEXP  bwhere,
SEXP  bweights,
SEXP  fitmem,
SEXP  controls 
)

An experimental implementation of random forest like algorithms

Parameters:
learnsample an object of class `LearningSample'
weights a vector of case weights
bwhere integer matrix (n x ntree) for terminal node numbers
bweights double matrix (n x ntree) for bootstrap case weights
fitmem an object of class `TreeFitMemory'
controls an object of class `TreeControl'

Definition at line 22 of file RandomForest.c.

References C_init_node(), C_remove_weights(), C_SampleSplitting(), C_TreeGrow(), get_fraction(), get_maxsurrogate(), get_ninputs(), get_nobs(), get_ntree(), get_predict_trafo(), get_replace(), get_splitctrl(), get_trace(), ncol(), NODE_LENGTH, PL2_responsesSym, and S3get_nodeweights().

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