- s -

• sample_weight() : Boosting
• satisfied() : _line_search, _gd_adaptive, _gradient_descent, _search
• 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
• 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
• stop_opt() : FeedForwardNN, _boost_gd
• 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

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