matlab随机森林工具箱

[{"title":"（ 61 个子文件 445KB ） matlab随机森林工具箱","children":[{"title":"RF_MexStandalone-v0.02-precompiled","children":[{"title":"README_Windows_binary.txt <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"randomforest-matlab","children":[{"title":"RF_Class_C","children":[{"title":"classRF_train.m <span style='color:#111;'> 14.48KB </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"Version_History.txt <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"mexClassRF_train.mexw32 <span style='color:#111;'> 31.50KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"twonorm.mat <span style='color:#111;'> 47.71KB </span>","children":null,"spread":false},{"title":"X_twonorm.txt <span style='color:#111;'> 94.04KB </span>","children":null,"spread":false},{"title":"Y_twonorm.txt <span style='color:#111;'> 600B 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</span>","children":null,"spread":false},{"title":"Makefile.windows <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"precompiled_rfsub","children":[{"title":"linux64","children":null,"spread":false},{"title":"win32","children":[{"title":"rfsub.o <span style='color:#111;'> 6.69KB </span>","children":null,"spread":false}],"spread":false},{"title":"win64","children":[{"title":"rfsub.o <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"classRF_predict.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"Compile_Check <span style='color:#111;'> 856B </span>","children":null,"spread":false},{"title":"mexClassRF_train.mexw64 <span style='color:#111;'> 45.00KB </span>","children":null,"spread":false},{"title":"compile_linux.m <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"compile_windows.m <span style='color:#111;'> 1.68KB 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style='color:#111;'> 611B </span>","children":null,"spread":false},{"title":"test_RegRF_extensively.m <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"src","children":[{"title":"cokus.cpp <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false},{"title":"qsort.c <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"mex_regressionRF_train.cpp <span style='color:#111;'> 12.10KB </span>","children":null,"spread":false},{"title":"mex_regressionRF_predict.cpp <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"cokus_test.cpp <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"reg_RF.h <span style='color:#111;'> 560B </span>","children":null,"spread":false},{"title":"diabetes_C_wrapper.cpp <span style='color:#111;'> 11.40KB </span>","children":null,"spread":false},{"title":"reg_RF.cpp <span style='color:#111;'> 39.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"regRF_train.m <span style='color:#111;'> 12.56KB </span>","children":null,"spread":false},{"title":"tempbuild","children":null,"spread":false},{"title":"tutorial_RegRF.m <span style='color:#111;'> 9.28KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"diabetes_C_devc.dev <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"mexRF_predict.mexw32 <span style='color:#111;'> 10.50KB </span>","children":null,"spread":false},{"title":"mexRF_train.mexw64 <span style='color:#111;'> 33.50KB </span>","children":null,"spread":false},{"title":"regRF_predict.m <span style='color:#111;'> 986B </span>","children":null,"spread":false},{"title":"compile_linux.m <span style='color:#111;'> 952B </span>","children":null,"spread":false},{"title":"compile_windows.m <span style='color:#111;'> 915B 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