- s -

• sampling() : mltk::Data< T >
• savetops() : Gnuplot
• selectFeatures() : mltk::Data< T > , mltk::featselect::AOS< T > , mltk::featselect::FeatureSelection< T > , mltk::featselect::Fisher< T > , mltk::featselect::Golub< T > , mltk::featselect::RFE< T >
• set_cbrange() : Gnuplot
• set_contour() : Gnuplot
• set_GNUPlotPath() : Gnuplot
• set_grid() : Gnuplot
• set_hidden3d() : Gnuplot
• set_isosamples() : Gnuplot
• set_legend() : Gnuplot
• set_multiplot() : Gnuplot
• set_pointsize() : Gnuplot
• set_samples() : Gnuplot
• set_smooth() : Gnuplot
• set_style() : Gnuplot
• set_surface() : Gnuplot
• set_terminal_std() : Gnuplot
• set_title() : Gnuplot
• set_xautoscale() : Gnuplot
• set_xlabel() : Gnuplot
• set_xlogscale() : Gnuplot
• set_xrange() : Gnuplot
• set_yautoscale() : Gnuplot
• set_ylabel() : Gnuplot
• set_ylogscale() : Gnuplot
• set_yrange() : Gnuplot
• set_zautoscale() : Gnuplot
• set_zlabel() : Gnuplot
• set_zlogscale() : Gnuplot
• set_zrange() : Gnuplot
• setAlpha() : mltk::Point< T, Rep >
• setAlphaAprox() : mltk::classifier::PrimalClassifier< T >
• setClasses() : mltk::Data< T >
• setClassesAtEnd() : mltk::Data< T >
• setClassesNames() : mltk::Data< T >
• setClassifier() : mltk::featselect::FeatureSelection< T >
• setCommitteeSize() : mltk::ensemble::Ensemble< T >
• setCrossValidation() : mltk::featselect::FeatureSelection< T >
• setCtot() : mltk::Learner< T >
• setDepth() : mltk::featselect::FeatureSelection< T >
• setDim() : mltk::Data< T >
• setEPS() : mltk::Learner< T >
• setFeaturesNames() : mltk::Data< T >
• setFinalDimension() : mltk::featselect::FeatureSelection< T >
• setFlexible() : mltk::classifier::PrimalClassifier< T >
• setGamma() : mltk::classifier::Classifier< T >
• setID() : mltk::Point< T, Rep >
• setIndex() : mltk::Data< T >
• setJump() : mltk::featselect::FeatureSelection< T >
• setKernel() : mltk::classifier::DualClassifier< T >
• setKernelMatrix() : mltk::Kernel< T >
• setKernelParam() : mltk::classifier::DualClassifier< T >
• setKernelType() : mltk::classifier::DualClassifier< T >
• setLearner() : mltk::ensemble::Ensemble< T >
• setLearningRate() : mltk::Learner< T >
• setMaxEpochs() : mltk::Learner< T >
• setMaxIterations() : mltk::Learner< T >
• setMaxTime() : mltk::Learner< T >
• setMaxUpdates() : mltk::Learner< T >
• setName() : mltk::Data< T >
• setParam() : mltk::Kernel< T >
• setpNorm() : mltk::classifier::PrimalClassifier< T >
• setPoint() : mltk::Data< T >
• setqNorm() : mltk::classifier::PrimalClassifier< T >
• setSample() : mltk::visualize::Visualization< T >
• setSamples() : mltk::ensemble::Ensemble< T > , mltk::featselect::FeatureSelection< T > , mltk::Learner< T >
• setSeed() : mltk::Learner< T >
• setSkip() : mltk::featselect::FeatureSelection< T >
• setSolution() : mltk::classifier::Classifier< T > , mltk::regressor::Regressor< T >
• setStartTime() : mltk::Learner< T >
• setSteps() : mltk::Learner< T >
• setStyle() : mltk::visualize::Visualization< T >
• setTimer() : mltk::Learner< T >
• setTitle() : mltk::visualize::Visualization< T >
• setType() : mltk::Kernel< T >
• setVerbose() : mltk::featselect::FeatureSelection< T > , mltk::Learner< T >
• setW() : mltk::classifier::Classifier< T > , mltk::regressor::Regressor< T >
• setY() : mltk::Point< T, Rep >
• showonscreen() : Gnuplot
• shuffle() : mltk::Data< T >
• size() : mltk::Data< T > , mltk::Point< T, Rep >
• splitByClasses() : mltk::Data< T >
• splitSample() : mltk::Data< T >
• start() : mltk::timer
• stop() : mltk::timer
• submit() : mltk::ThreadPool
• sum() : mltk::Point< T, Rep >
• synced_stream() : mltk::synced_stream