| clsfy_binary_hyperplane_gmrho_builder_helpers::category_value | Given the class category variable, return the associated regression value (e.g. 1 for class 1, -1 for class 0) |
| clsfy_adaboost_sorted_builder | Base for classes to build clsfy_classifier_base objects |
| clsfy_adaboost_trainer | A class for some purpose |
| clsfy_binary_1d_wrapper | Make a clsfy_classifier_1d derivative look like a clsfy_classifierbase derivative |
| clsfy_binary_1d_wrapper_builder | Wrap a builder_1d in general builder_base derivative |
| clsfy_binary_hyperplane | A binary output hyperplane classifier |
| clsfy_binary_hyperplane_gmrho_builder | Builder for linear 2-state classifier |
| clsfy_binary_hyperplane_logit_builder | Linear classifier builder using a logit loss function |
| clsfy_binary_hyperplane_ls_builder | Build a binary linear classifier using least squares |
| clsfy_binary_pdf_classifier | Decisions are based on an explicit multivariate probability distribution |
| clsfy_binary_threshold_1d | Simplest possible 1D classifier: A single thresholding function |
| clsfy_binary_threshold_1d_builder | Base for classes to build clsfy_classifier_1d objects |
| clsfy_binary_threshold_1d_gini_builder | |
| clsfy_binary_tree | A binary tree classifier |
| clsfy_binary_tree_bnode | |
| clsfy_binary_tree_builder | Builds clsfy_binary_tree classifiers |
| clsfy_binary_tree_node | |
| clsfy_binary_tree_op | One node of a binary tree classifier - wrapper round clsfy_binary_threshold_1d |
| clsfy_builder_1d | Base for classes to build clsfy_classifier_1d objects |
| clsfy_builder_base | Base for classes to build clsfy_classifier_base objects |
| clsfy_classifier_1d | A common interface for 1-out-of-N classifiers of 1D data |
| clsfy_classifier_base | A common interface for 1-out-of-N classifiers |
| clsfy_direct_boost | Classifier using adaboost on combinations of simple 1D classifiers |
| clsfy_direct_boost_builder | Base for classes to build clsfy_classifier_base objects |
| clsfy_k_nearest_neighbour | A Binary k-Nearest Neighbour classifier |
| clsfy_knn_builder | Builds clsfy_k_nearest_neighbour classifiers |
| clsfy_logit_loss_function | Loss function for logit of linear classifier |
| clsfy_mean_square_1d | Simplest possible 1D classifier: A single thresholding function |
| clsfy_mean_square_1d_builder | Base for classes to build clsfy_classifier_1d objects |
| clsfy_null_builder | Builds clsfy_null_classifier |
| clsfy_null_classifier | A classifier that always returns the same answer |
| clsfy_parzen_builder | Builds clsfy_rbf_parzen classifiers |
| clsfy_quad_regulariser | Simple quadratic term used to regularise functions |
| clsfy_random_builder | Builds clsfy_random_classifier classifiers |
| clsfy_random_classifier | A common interface for 1-out-of-N classifiers |
| clsfy_random_forest | Forest of clsfy_binary_tree trees |
| clsfy_random_forest_builder | Builds clsfy_random_forest classifiers |
| clsfy_rbf_parzen | A Parzen binary classifier using an RBF Window |
| clsfy_rbf_svm | A Support Vector Machine Binary Classifier |
| clsfy_rbf_svm_smo_1_builder | Base for classes to build clsfy_classifier_base objects |
| clsfy_simple_adaboost | Classifier using adaboost on combinations of simple 1D classifiers |
| clsfy_smo_1_lin | A sequential minimal optimisation for certain restricted quadratic problems |
| clsfy_smo_1_rbf | A sequential minimal optimisation for certain restricted quadratic problems |
| clsfy_smo_base | A base class for sequential minimal optimisation |
| first_lt | |
| clsfy_binary_hyperplane_gmrho_builder_helpers::gm_grad_accum | Functor to accumulate gradient contributions for given training example |
| clsfy_binary_hyperplane_gmrho_builder_helpers::gmrho_sum | The cost function, sum Geman-McClure error functions over all training examples |
| clsfy_binary_tree::graph_rep | |
| second_eq_one |
1.7.5.1