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RandomForest< LabelType, PreprocessorTag > Member List VIGRA

This is the complete list of members for RandomForest< LabelType, PreprocessorTag >, including all inherited members.

class_count() const RandomForest< LabelType, PreprocessorTag >
column_count() const RandomForest< LabelType, PreprocessorTag >
ext_param() const RandomForest< LabelType, PreprocessorTag >
feature_count() const RandomForest< LabelType, PreprocessorTag >
learn(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &response, Visitor_t visitor, Split_t split, Stop_t stop, Random_t const &random)RandomForest< LabelType, PreprocessorTag >
learn(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &labels)RandomForest< LabelType, PreprocessorTag >
options() const RandomForest< LabelType, PreprocessorTag >
predictLabel(MultiArrayView< 2, U, C >const &features, Stop &stop) const RandomForest< LabelType, PreprocessorTag >
predictLabel(MultiArrayView< 2, U, C > const &features, ArrayVectorView< double > prior) const RandomForest< LabelType, PreprocessorTag >
predictLabels(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &labels) const RandomForest< LabelType, PreprocessorTag >
predictLabels(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &labels, LabelType nanLabel) const RandomForest< LabelType, PreprocessorTag >
predictLabels(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &labels, Stop &stop) const RandomForest< LabelType, PreprocessorTag >
predictProbabilities(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &prob, Stop &stop) const RandomForest< LabelType, PreprocessorTag >
predictProbabilities(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &prob) const RandomForest< LabelType, PreprocessorTag >
RandomForest(Options_t const &options=Options_t(), ProblemSpec_t const &ext_param=ProblemSpec_t())RandomForest< LabelType, PreprocessorTag >
RandomForest(int treeCount, TopologyIterator topology_begin, ParameterIterator parameter_begin, ProblemSpec_t const &problem_spec, Options_t const &options=Options_t())RandomForest< LabelType, PreprocessorTag >
reLearnTree(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &response, int treeId, Visitor_t visitor_, Split_t split_, Stop_t stop_, Random_t &random)RandomForest< LabelType, PreprocessorTag >
set_ext_param(ProblemSpec_t const &in)RandomForest< LabelType, PreprocessorTag >
set_options()RandomForest< LabelType, PreprocessorTag >
tree(int index) const RandomForest< LabelType, PreprocessorTag >
tree(int index)RandomForest< LabelType, PreprocessorTag >
tree_count() const RandomForest< LabelType, PreprocessorTag >

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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vigra 1.11.0 (Fri May 19 2017)