Here is a list of all class members with links to the classes they belong to:
- sample_weight()
: Boosting
 - satisfied()
: _line_search, _gd_adaptive, _gradient_descent, _search
 - scale
: DataFeeder::LINEAR_SCALE_PARAM
 - serialize()
: SVM, Stump, Pulse, Perceptron, Ordinal_BLE, Object, NNLayer, MultiClass_ECOC, LearnModel, Sigmoid, RBF, Polynomial, Kernel, FeedForwardNN, HoldoutCrossVal, vFoldCrossVal, CrossVal, CGBoost, Cascade, Boosting, Aggregating
 - set_aggregation_size()
: LPBoost, CGBoost, Aggregating
 - set_base_model()
: Aggregating
 - set_batch_mode()
: FeedForwardNN
 - set_C()
: SVM, LPBoost
 - set_data()
: Perceptron, Kernel
 - set_dimensions()
: LearnModel
 - set_direction()
: Pulse
 - set_ECOC_table()
: MultiClass_ECOC
 - set_fixed_bias()
: Perceptron
 - set_folds()
: vFoldCrossVal
 - set_full_extension()
: Ordinal_BLE
 - set_full_train()
: CrossVal
 - set_holdout()
: HoldoutCrossVal
 - set_index()
: Pulse
 - set_kernel()
: SVM
 - set_log_file()
: LearnModel
 - set_lr_step()
: AdaBoost_ERP
 - set_max_models()
: Aggregating
 - set_max_transitions()
: Pulse
 - set_min_cost()
: Boosting
 - set_min_error()
: Boosting
 - set_model()
: Ordinal_BLE
 - set_parameter()
: Perceptron, FeedForwardNN
 - set_params()
: Sigmoid, RBF, Perceptron, Stump, Polynomial, Linear, Kernel
 - set_partition_method()
: AdaBoost_ECOC
 - set_permutation()
: DataFeeder
 - set_rounds()
: CrossVal
 - set_tables()
: Ordinal_BLE
 - set_threshold()
: Pulse
 - set_train_data()
: Ordinal_BLE, MultiClass_ECOC, LearnModel, CrossVal, Boosting, Aggregating
 - set_train_method()
: Perceptron, FeedForwardNN
 - set_train_noise()
: DataFeeder
 - set_train_size()
: DataFeeder
 - set_weight()
: Perceptron, NNLayer, _mgn_gd, FeedForwardNN, _boost_cg, _boost_gd
 - set_weight_range()
: NNLayer
 - setup_aux()
: MultiClass_ECOC, AdaBoost_ECOC
 - SGD_HINGE
: Perceptron
 - SGD_MLSE
: Perceptron
 - sig_der
: NNLayer
 - Sigmoid()
: Sigmoid
 - sigmoid()
: NNLayer, sigmoid
 - sigmoid_deriv()
: NNLayer
 - signed_margin()
: SVM
 - size()
: NNLayer, FeedForwardNN, dataset, DataFeeder, CrossVal, Boosting::BoostWgt, Aggregating
 - smpwgt_with_partition()
: AdaBoost_ECOC
 - soft_threshold()
: Stump
 - start_with_fld()
: Perceptron
 - step_length()
: _line_search, _gd_adaptive, _gradient_descent, _search
 - step_length_type
: _search
 - stop_opt()
: FeedForwardNN, _boost_gd
 - stp_cnt
: _gradient_descent
 - Stump()
: Stump
 - support_vector()
: SVM
 - support_vector_coef()
: SVM
 - support_weighted_data()
: SVM, Stump, Pulse, Perceptron, Ordinal_BLE, MultiClass_ECOC, LearnModel, FeedForwardNN, Cascade, Boosting, Bagging
 - SVM()
: SVM
 
Generated on Wed Nov 8 08:16:23 2006 for LEMGA by 
 1.4.6