- C()
: SVM, LPBoost
- c_error()
: MultiClass_ECOC, LearnModel
- CGBoost()
: CGBoost
- clear()
: dataset, Boosting::BoostWgt
- clear_cache()
: Boosting
- clear_gradient()
: NNLayer, FeedForwardNN
- clone()
: SVM, Stump, Pulse, Perceptron, Object, NNLayer, MultiClass_ECOC, MgnBoost, LPBoost, LearnModel, FeedForwardNN, CGBoost, Cascade, Boosting, Bagging, Aggregating, AdaBoost_ECOC, AdaBoost
- confusion_matrix()
: AdaBoost_ECOC
- const_shared_ptr()
: const_shared_ptr
- convex_smpwgt()
: Boosting
- convex_weight()
: Boosting, AdaBoost
- cost()
: MultiClass_ECOC, MgnCost, FeedForwardNN, bisigmoid, sigmoid, logistic, exponential, AdaCost, _boost_gd, Boosting
- create()
: SVM, Stump, Pulse, Perceptron, Object, NNLayer, MultiClass_ECOC, MgnBoost, LPBoost, LearnModel, FeedForwardNN, CGBoost, Cascade, Boosting, Bagging, Aggregating, AdaBoost_ECOC, AdaBoost
- data()
: DataFeeder
- data_weight()
: LearnModel
- DataFeeder()
: DataFeeder
- dataset()
: dataset
- delete_this()
: _shared_ptr
- deriv1()
: MgnCost, bisigmoid, sigmoid, logistic, exponential, AdaCost
- direction()
: Stump, Pulse, _conjugate_gradient, _gd_momentum, _gradient_descent, _search
- distances()
: MultiClass_ECOC
- do_normalize()
: DataFeeder
- id()
: SVM, Stump, Pulse, Perceptron, Object, NNLayer, MultiClass_ECOC, MgnBoost, LPBoost, FeedForwardNN, CGBoost, Boosting, Bagging, AdaBoost_ECOC, AdaBoost
- import()
: dataset
- index()
: Stump, Pulse
- initialize()
: SVM, Perceptron, _line_search, _gd_adaptive, _gradient_descent, _search, NNLayer, MultiClass_ECOC, LearnModel, FeedForwardNN, CGBoost, Boosting, Aggregating
- is_convex()
: Boosting
- margin()
: MultiClass_ECOC, LearnModel, Boosting
- margin_norm()
: SVM, Perceptron, LearnModel, Boosting
- margin_of()
: SVM, Perceptron, MultiClass_ECOC, LearnModel, Boosting
- matrix()
: RBF, Perceptron, Kernel
- max_cut()
: AdaBoost_ECOC
- max_cut_greedy()
: AdaBoost_ECOC
- max_transitions()
: Pulse
- mean_var()
: DataFeeder
- MgnBoost()
: MgnBoost
- MgnCost()
: MgnCost
- min_margin()
: LearnModel
- min_max()
: DataFeeder
- model()
: Aggregating
- model_weight()
: MultiClass_ECOC, Boosting
- model_weight_sum()
: Boosting
- models()
: Boosting::BoostWgt
- MultiClass_ECOC()
: MultiClass_ECOC
- operator *()
: var_shared_ptr, const_shared_ptr
- operator *=()
: Boosting::BoostWgt
- operator implicit_bool_type()
: _shared_ptr
- operator!()
: _shared_ptr
- operator!=()
: _shared_ptr
- operator()()
: SVM, Stump, Pulse, Perceptron, NNLayer, MultiClass_ECOC, LearnModel, Sigmoid, RBF, Perceptron, Stump, Polynomial, Linear, Kernel, FeedForwardNN, AdaCost, Cascade, Boosting, Bagging
- operator+=()
: dataset, Boosting::BoostWgt
- operator-()
: Boosting::BoostWgt
- operator->()
: var_shared_ptr, const_shared_ptr
- operator=()
: SVM, var_shared_ptr, const_shared_ptr, _shared_ptr, FeedForwardNN, Aggregating
- operator==()
: _shared_ptr, Boosting::BoostWgt
- operator[]()
: FeedForwardNN, Aggregating
- sample_weight()
: Boosting
- satisfied()
: _line_search, _gd_adaptive, _gradient_descent, _search
- serialize()
: SVM, Stump, Pulse, Perceptron, Object, NNLayer, MultiClass_ECOC, LearnModel, FeedForwardNN, CGBoost, Cascade, Boosting, Aggregating
- set_aggregation_size()
: CGBoost, Aggregating
- set_base_model()
: Aggregating
- set_batch_mode()
: FeedForwardNN
- set_C()
: SVM, LPBoost
- set_data()
: Perceptron, Kernel
- set_direction()
: Pulse
- set_ECOC_table()
: MultiClass_ECOC
- set_index()
: Pulse
- set_log_file()
: LearnModel
- set_max_models()
: Aggregating
- set_max_transitions()
: Pulse
- set_min_cost()
: Boosting
- set_min_error()
: Boosting
- set_parameter()
: Perceptron, FeedForwardNN
- set_params()
: Sigmoid, RBF, Perceptron, Stump, Polynomial, Linear, Kernel
- set_partition_method()
: AdaBoost_ECOC
- set_permutation()
: DataFeeder
- set_threshold()
: Pulse
- set_train_data()
: MultiClass_ECOC, LearnModel, Boosting, Aggregating
- set_train_method()
: Perceptron, FeedForwardNN
- set_train_size()
: DataFeeder
- set_weight()
: Perceptron, NNLayer, _mgn_gd, FeedForwardNN, _boost_cg, _boost_gd
- set_weight_range()
: NNLayer
- Sigmoid()
: Sigmoid
- sigmoid()
: NNLayer, sigmoid
- sigmoid_deriv()
: NNLayer
- signed_margin()
: SVM
- size()
: NNLayer, FeedForwardNN, dataset, DataFeeder, 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, MultiClass_ECOC, LearnModel, FeedForwardNN, Cascade, Boosting, Bagging
- SVM()
: SVM
- test_c_error()
: LearnModel
- test_r_error()
: LearnModel
- threshold()
: Stump, Pulse
- train()
: SVM, Stump, Pulse, Perceptron, NNLayer, MultiClass_ECOC, MgnBoost, LPBoost, LearnModel, FeedForwardNN, CGBoost, Cascade, Boosting, Bagging, AdaBoost
- train_1d()
: Stump
- train_c_error()
: LearnModel
- train_data()
: LearnModel
- train_gd()
: CGBoost, Boosting
- train_r_error()
: LearnModel
- train_with_partition()
: MultiClass_ECOC, AdaBoost_ECOC
- train_with_smpwgt()
: Boosting
- unique()
: _shared_ptr
- unserialize()
: SVM, Stump, Pulse, Perceptron, Object, NNLayer, MultiClass_ECOC, LearnModel, FeedForwardNN, CGBoost, Cascade, Boosting, Aggregating
- update_smpwgt()
: Boosting
- update_training()
: MultiClass_ECOC, AdaBoost_ECOC
- update_weight()
: _gd_adaptive, _gd_weightdecay, _gradient_descent, _search
- use_count()
: _shared_ptr
- use_gradient_descent()
: Boosting
- use_resample()
: Perceptron
- use_soft_threshold()
: Stump
Generated on Mon Jan 9 23:44:17 2006 for LEMGA by
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