文件名称:kfold
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Create a Neural Network with matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
WIN\CODE\@allPairs\allPairs.m
...\....\.........\classify.m
...\....\.........\doTrain.m
...\....\.binaryClassifier\binaryClassifier.m
...\....\.................\classify.m
...\....\.................\doTrain.m
...\....\.classifier\char.m
...\....\...........\classifier.m
...\....\...........\classify.m
...\....\...........\doTrain.m
...\....\...........\getConfig.m
...\....\...........\getHyperParameters.m
...\....\...........\train.m
...\....\...........Imp\char.m
...\....\..............\classifierImp.m
...\....\..............\classify.m
...\....\..............\Copy_of_original_classifierImp.m
...\....\..............\train.m
...\....\..v_data\char.m
...\....\........\classHistogram.m
...\....\........\cv_data.m
...\....\........\fold.m
...\....\........\getNfold.m
...\....\........\numTags.m
...\....\.experimenter\calcConfusionMatrix.m
...\....\.............\crossValidation.m
...\....\.............\doRun.m
...\....\.............\experimenter.m
...\....\.............\getData.m
...\....\.............\holdout.m
...\....\.............\infoStr.m
...\....\.............\setGuiHandles.m
...\....\.............\str2config.m
...\....\.fileBasedImp\classify.m
...\....\.............\fileBasedImp.m
...\....\.............\readCvmResFile.m
...\....\.............\readLibsvmResFile.m
...\....\.............\train.m
...\....\..minStrategy\findBestHypers.m
...\....\.............\fminStrategy.m
...\....\.gridStrategy\findBestHypers.m
...\....\.............\gridStrategy.m
...\....\..uiProxy\guiProxy.m
...\....\.........\logIt.m
...\....\.........\plot_interpolated_grid.m
...\....\.........\plot_interpolated_grid_2.m
...\....\.........\setCVResult.m
...\....\.........\setErrorReport.m
...\....\.........\setExperimentInfo.m
...\....\.........\setFoldNum.m
...\....\.........\setRemainingTime.m
...\....\.........\setResult.m
...\....\.lineSearchStrategy\findBestHypers.m
...\....\...................\lineSearchStrategy.m
...\....\..ogger\fine.m
...\....\.......\info.m
...\....\.......\logger.m
...\....\.......\logIt.m
...\....\.......\screen.m
...\....\.......\severe.m
...\....\.matlabImpTEMPLATE\TEMPLATE_classify.m
...\....\..................\TEMPLATE_constructor.m
...\....\..................\TEMPLATE_train.m
...\....\.oneVsAll\classify.m
...\....\.........\doTrain.m
...\....\.........\oneVsAll.m
...\....\.........\trainTODO.m
...\....\.validationStrategy\createValidator.m
...\....\...................\findBestHypers.m
...\....\...................\validationStrategy.m
...\....\........or\char.m
...\....\..........\errorEstimate.m
...\....\..........\errorEstimate2.m
...\....\..........\errorEstimate3.m
...\....\..........\validator.m
...\....\.winnowImp\classify.m
...\....\..........\train.m
...\....\..........\winnowImp.m
...\....\cvm_predict.exe
...\....\cvm_train.exe
...\....\example_cv_runner.m
...\....\example_holdout_runner.m
...\....\gui\add_new_classifier_form.fig
...\....\...\add_new_classifier_form.m
...\....\...\add_new_comLine_classifier.m
...\....\...\add_new_matlab_classifier.m
...\....\...\add_new_matlab_classifier_form.fig
...\....\...\add_new_matlab_classifier_form.m
...\....\...\classifier_cv_TEMPLATE.m
...\....\...\classifier_holdout_TEMPLATE.m
...\....\...\create_run_files.m
...\....\...\cv_result_gui.fig
...\....\...\cv_result_gui.m
...\....\...\generic_cv_gui.fig
...\....\...\generic_cv_gui.m
...\....\...\help_modaldlg.fig
...\....\...\help_modaldlg.m
...\....\...\my_modaldlg.fig
...\....\...\my_modaldlg.m
...\....\libsvm_predict.exe
...\....\.........\classify.m
...\....\.........\doTrain.m
...\....\.binaryClassifier\binaryClassifier.m
...\....\.................\classify.m
...\....\.................\doTrain.m
...\....\.classifier\char.m
...\....\...........\classifier.m
...\....\...........\classify.m
...\....\...........\doTrain.m
...\....\...........\getConfig.m
...\....\...........\getHyperParameters.m
...\....\...........\train.m
...\....\...........Imp\char.m
...\....\..............\classifierImp.m
...\....\..............\classify.m
...\....\..............\Copy_of_original_classifierImp.m
...\....\..............\train.m
...\....\..v_data\char.m
...\....\........\classHistogram.m
...\....\........\cv_data.m
...\....\........\fold.m
...\....\........\getNfold.m
...\....\........\numTags.m
...\....\.experimenter\calcConfusionMatrix.m
...\....\.............\crossValidation.m
...\....\.............\doRun.m
...\....\.............\experimenter.m
...\....\.............\getData.m
...\....\.............\holdout.m
...\....\.............\infoStr.m
...\....\.............\setGuiHandles.m
...\....\.............\str2config.m
...\....\.fileBasedImp\classify.m
...\....\.............\fileBasedImp.m
...\....\.............\readCvmResFile.m
...\....\.............\readLibsvmResFile.m
...\....\.............\train.m
...\....\..minStrategy\findBestHypers.m
...\....\.............\fminStrategy.m
...\....\.gridStrategy\findBestHypers.m
...\....\.............\gridStrategy.m
...\....\..uiProxy\guiProxy.m
...\....\.........\logIt.m
...\....\.........\plot_interpolated_grid.m
...\....\.........\plot_interpolated_grid_2.m
...\....\.........\setCVResult.m
...\....\.........\setErrorReport.m
...\....\.........\setExperimentInfo.m
...\....\.........\setFoldNum.m
...\....\.........\setRemainingTime.m
...\....\.........\setResult.m
...\....\.lineSearchStrategy\findBestHypers.m
...\....\...................\lineSearchStrategy.m
...\....\..ogger\fine.m
...\....\.......\info.m
...\....\.......\logger.m
...\....\.......\logIt.m
...\....\.......\screen.m
...\....\.......\severe.m
...\....\.matlabImpTEMPLATE\TEMPLATE_classify.m
...\....\..................\TEMPLATE_constructor.m
...\....\..................\TEMPLATE_train.m
...\....\.oneVsAll\classify.m
...\....\.........\doTrain.m
...\....\.........\oneVsAll.m
...\....\.........\trainTODO.m
...\....\.validationStrategy\createValidator.m
...\....\...................\findBestHypers.m
...\....\...................\validationStrategy.m
...\....\........or\char.m
...\....\..........\errorEstimate.m
...\....\..........\errorEstimate2.m
...\....\..........\errorEstimate3.m
...\....\..........\validator.m
...\....\.winnowImp\classify.m
...\....\..........\train.m
...\....\..........\winnowImp.m
...\....\cvm_predict.exe
...\....\cvm_train.exe
...\....\example_cv_runner.m
...\....\example_holdout_runner.m
...\....\gui\add_new_classifier_form.fig
...\....\...\add_new_classifier_form.m
...\....\...\add_new_comLine_classifier.m
...\....\...\add_new_matlab_classifier.m
...\....\...\add_new_matlab_classifier_form.fig
...\....\...\add_new_matlab_classifier_form.m
...\....\...\classifier_cv_TEMPLATE.m
...\....\...\classifier_holdout_TEMPLATE.m
...\....\...\create_run_files.m
...\....\...\cv_result_gui.fig
...\....\...\cv_result_gui.m
...\....\...\generic_cv_gui.fig
...\....\...\generic_cv_gui.m
...\....\...\help_modaldlg.fig
...\....\...\help_modaldlg.m
...\....\...\my_modaldlg.fig
...\....\...\my_modaldlg.m
...\....\libsvm_predict.exe