File List

Here is a list of all files with brief descriptions:
contrib/mul/clsfy/clsfy_adaboost_sorted_builder.cxx [code]Functions to train classifiers using AdaBoost algorithm
contrib/mul/clsfy/clsfy_adaboost_sorted_builder.h [code]Describe an concrete classifier
contrib/mul/clsfy/clsfy_adaboost_trainer.cxx [code]Functions to train classifiers using AdaBoost algorithm
contrib/mul/clsfy/clsfy_adaboost_trainer.h [code]Functions to train classifiers using AdaBoost algorithm
contrib/mul/clsfy/clsfy_add_all_loaders.cxx [code]
contrib/mul/clsfy/clsfy_add_all_loaders.h [code]
contrib/mul/clsfy/clsfy_binary_1d_wrapper.cxx [code]Wrap a classifier_1d in general classifier_base derivative
contrib/mul/clsfy/clsfy_binary_1d_wrapper.h [code]Wrap a classifier_1d in general classifier_base derivative
contrib/mul/clsfy/clsfy_binary_1d_wrapper_builder.cxx [code]Wrap a builder_1d in general builder_base derivative
contrib/mul/clsfy/clsfy_binary_1d_wrapper_builder.h [code]Wrap a builder_1d in general builder_base derivative
contrib/mul/clsfy/clsfy_binary_hyperplane.cxx [code]Implement a binary linear classifier
contrib/mul/clsfy/clsfy_binary_hyperplane.h [code]Describe a linear binary classifier
contrib/mul/clsfy/clsfy_binary_hyperplane_gmrho_builder.cxx [code]Implement a two-class output linear classifier builder using a Geman-McClure robust error function
contrib/mul/clsfy/clsfy_binary_hyperplane_gmrho_builder.h [code]Builder for linear 2-state classifier, using a sigmoidal Geman-McClure rho function
contrib/mul/clsfy/clsfy_binary_hyperplane_logit_builder.cxx [code]Linear classifier builder using a logit loss function
contrib/mul/clsfy/clsfy_binary_hyperplane_logit_builder.h [code]Linear classifier builder using a logit loss function
contrib/mul/clsfy/clsfy_binary_hyperplane_ls_builder.cxx [code]Implement a two-class output linear classifier builder
contrib/mul/clsfy/clsfy_binary_hyperplane_ls_builder.h [code]Describe a binary linear classifier builder
contrib/mul/clsfy/clsfy_binary_pdf_classifier.cxx [code]
contrib/mul/clsfy/clsfy_binary_pdf_classifier.h [code]Describe a classifier based on a single pdf
contrib/mul/clsfy/clsfy_binary_threshold_1d.cxx [code]Simplest possible 1D classifier: A single thresholding function
contrib/mul/clsfy/clsfy_binary_threshold_1d.h [code]Simplest possible 1D classifier: A single thresholding function
contrib/mul/clsfy/clsfy_binary_threshold_1d_builder.cxx [code]
contrib/mul/clsfy/clsfy_binary_threshold_1d_builder.h [code]Describe an concrete classifier builder for scalar data
contrib/mul/clsfy/clsfy_builder_1d.cxx [code]Describe an abstract classifier builder for scalar data
contrib/mul/clsfy/clsfy_builder_1d.h [code]Describe an abstract classifier builder for scalar data
contrib/mul/clsfy/clsfy_builder_base.cxx [code]Implement bits of an abstract classifier builder
contrib/mul/clsfy/clsfy_builder_base.h [code]Describe an abstract classifier
contrib/mul/clsfy/clsfy_classifier_1d.cxx [code]Describe an abstract classifier of 1D data
contrib/mul/clsfy/clsfy_classifier_1d.h [code]Describe an abstract classifier of 1D data
contrib/mul/clsfy/clsfy_classifier_base.cxx [code]Implement bits of an abstract classifier
contrib/mul/clsfy/clsfy_classifier_base.h [code]Describe an abstract classifier
contrib/mul/clsfy/clsfy_direct_boost.cxx [code]Classifier using adaboost on combinations of simple 1D classifiers
contrib/mul/clsfy/clsfy_direct_boost.h [code]Classifier using adaboost on combinations of simple 1D classifiers
contrib/mul/clsfy/clsfy_direct_boost_builder.cxx [code]Functions to train classifiers using AdaBoost algorithm
contrib/mul/clsfy/clsfy_direct_boost_builder.h [code]Describe a concrete classifier
contrib/mul/clsfy/clsfy_k_nearest_neighbour.cxx [code]
contrib/mul/clsfy/clsfy_k_nearest_neighbour.h [code]Describe an KNN classifier
contrib/mul/clsfy/clsfy_knn_builder.cxx [code]Implement a knn classifier builder
contrib/mul/clsfy/clsfy_knn_builder.h [code]Describe a knn classifier builder
contrib/mul/clsfy/clsfy_logit_loss_function.cxx [code]Loss function for logit of linear classifier
contrib/mul/clsfy/clsfy_logit_loss_function.h [code]Loss function for logit of linear classifier
contrib/mul/clsfy/clsfy_mean_square_1d.cxx [code]Simplest possible 1D classifier: A single thresholding function
contrib/mul/clsfy/clsfy_mean_square_1d.h [code]Simplest possible 1D classifier: A single thresholding function
contrib/mul/clsfy/clsfy_mean_square_1d_builder.cxx [code]
contrib/mul/clsfy/clsfy_mean_square_1d_builder.h [code]Describe an concrete classifier builder for scalar data
contrib/mul/clsfy/clsfy_null_builder.cxx [code]Implement a null classifier builder
contrib/mul/clsfy/clsfy_null_builder.h [code]Describe a knn classifier builder
contrib/mul/clsfy/clsfy_null_classifier.cxx [code]Implement a null classifier
contrib/mul/clsfy/clsfy_null_classifier.h [code]Describe a null classifier
contrib/mul/clsfy/clsfy_parzen_builder.cxx [code]Implement a Parzen window classifier builder
contrib/mul/clsfy/clsfy_parzen_builder.h [code]Describe a Parzen window classifier builder
contrib/mul/clsfy/clsfy_random_builder.cxx [code]Implement a random classifier builder
contrib/mul/clsfy/clsfy_random_builder.h [code]Describe a random classifier builder
contrib/mul/clsfy/clsfy_random_classifier.cxx [code]Implement a random classifier
contrib/mul/clsfy/clsfy_random_classifier.h [code]Describe a random classifier
contrib/mul/clsfy/clsfy_rbf_parzen.cxx [code]
contrib/mul/clsfy/clsfy_rbf_parzen.h [code]Describe a Parzen window classifier
contrib/mul/clsfy/clsfy_rbf_svm.cxx [code]Implement a RBF Support Vector Machine
contrib/mul/clsfy/clsfy_rbf_svm.h [code]Describe a RBF Support Vector Machine
contrib/mul/clsfy/clsfy_rbf_svm_smo_1_builder.cxx [code]Implement an interface to SMO algorithm SVM builder and additional logic
contrib/mul/clsfy/clsfy_rbf_svm_smo_1_builder.h [code]Describe an interface to an SMO SVM builder and additional logic
contrib/mul/clsfy/clsfy_simple_adaboost.cxx [code]Classifier using adaboost on combinations of simple 1D classifiers
contrib/mul/clsfy/clsfy_simple_adaboost.h [code]Classifier using adaboost on combinations of simple 1D classifiers
contrib/mul/clsfy/clsfy_smo_1.cxx [code]Sequential Minimum Optimisation algorithm This code is based on the C++ code of Xianping Ge, ( http://www.ics.uci.edu/~xge ) which he kindly put in the public domain. That code was in turn based on the algorithms of John Platt, ( http://research.microsoft.com/~jplatt ) described in Platt, J. C. (1998). Fast Training of Support Vector Machines Using Sequential Minimal Optimisation. In Advances in Kernel Methods - Support Vector Learning. B. Scholkopf, C. Burges and A. Smola, MIT Press: 185-208. and other papers
contrib/mul/clsfy/clsfy_smo_1.h [code]Sequential Minimum Optimisation algorithm
contrib/mul/clsfy/clsfy_smo_base.cxx [code]Sequential Minimum Optimisation algorithm This code is based on the C++ code of Xianping Ge, ( http://www.ics.uci.edu/~xge ) which he kindly put in the public domain. That code was in turn based on the algorithms of John Platt, ( http://research.microsoft.com/~jplatt ) described in Platt, J. C. (1998). Fast Training of Support Vector Machines Using Sequential Minimal Optimisation. In Advances in Kernel Methods - Support Vector Learning. B. Scholkopf, C. Burges and A. Smola, MIT Press: 185-208. and other papers
contrib/mul/clsfy/clsfy_smo_base.h [code]Sequential Minimum Optimisation algorithm

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