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RandomForest< LabelType, PreprocessorTag > Member List |

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 | html generated using doxygen and Python vigra 1.10.0 (Mon Nov 18 2013)