Table of Contents - adaboost-0.0.4 Documentation
Classes and Modules
- AdaBoost
- AdaBoost::AdaBoost
- AdaBoost::Config
- AdaBoost::ContingencyTable
- AdaBoost::Evaluator
- AdaBoost::FeaturesAnalyzer
- AdaBoost::Resampler
- AdaBoost::WeakClassifier
- AdaBoost::WeakLearner
Methods
- ::build_from_model — AdaBoost::AdaBoost
- ::new — AdaBoost::AdaBoost
- ::new — AdaBoost::ContingencyTable
- ::new — AdaBoost::Evaluator
- ::new — AdaBoost::FeaturesAnalyzer
- ::new — AdaBoost::Resampler
- ::new — AdaBoost::WeakClassifier
- ::new — AdaBoost::WeakLearner
- #accuracy — AdaBoost::ContingencyTable
- #add_prediction — AdaBoost::ContingencyTable
- #analyze — AdaBoost::FeaturesAnalyzer
- #class_to_index — AdaBoost::ContingencyTable
- #classify — AdaBoost::AdaBoost
- #classify — AdaBoost::WeakClassifier
- #classify_normally — AdaBoost::Evaluator
- #classify_using_threshold — AdaBoost::Evaluator
- #classify_with_alpha — AdaBoost::WeakClassifier
- #compute_alpha — AdaBoost::WeakClassifier
- #condition_negative — AdaBoost::ContingencyTable
- #condition_positive — AdaBoost::ContingencyTable
- #diagnostic_odds_ratio — AdaBoost::ContingencyTable
- #distribution — AdaBoost::Resampler
- #evaluate — AdaBoost::Evaluator
- #fall_out — AdaBoost::ContingencyTable
- #false_discovery_rate — AdaBoost::ContingencyTable
- #false_negative — AdaBoost::ContingencyTable
- #false_negative_rate — AdaBoost::ContingencyTable
- #false_omission_rate — AdaBoost::ContingencyTable
- #false_positive — AdaBoost::ContingencyTable
- #false_positive_rate — AdaBoost::ContingencyTable
- #feature_occurrences — AdaBoost::Evaluator
- #features_satistics — AdaBoost::WeakLearner
- #generate_all_possible_classifiers — AdaBoost::WeakLearner
- #generate_random_classifiers — AdaBoost::WeakLearner
- #generate_weak_classifier — AdaBoost::WeakLearner
- #increase_error — AdaBoost::WeakClassifier
- #initialize_weights — AdaBoost::AdaBoost
- #negative_likelihood_ratio — AdaBoost::ContingencyTable
- #negative_predictive_value — AdaBoost::ContingencyTable
- #outcome_negative — AdaBoost::ContingencyTable
- #outcome_positive — AdaBoost::ContingencyTable
- #over_sample — AdaBoost::Resampler
- #positive_likelihood_ratio — AdaBoost::ContingencyTable
- #positive_predictive_value — AdaBoost::ContingencyTable
- #precision — AdaBoost::ContingencyTable
- #predicted_condition_negative — AdaBoost::ContingencyTable
- #predicted_condition_positive — AdaBoost::ContingencyTable
- #prevalence — AdaBoost::ContingencyTable
- #recall — AdaBoost::ContingencyTable
- #relations — AdaBoost::FeaturesAnalyzer
- #sensitivity — AdaBoost::ContingencyTable
- #specificity — AdaBoost::ContingencyTable
- #threshold — AdaBoost::Evaluator
- #to_s — AdaBoost::ContingencyTable
- #total_population — AdaBoost::ContingencyTable
- #train — AdaBoost::AdaBoost
- #true_negative — AdaBoost::ContingencyTable
- #true_negative_rate — AdaBoost::ContingencyTable
- #true_positive — AdaBoost::ContingencyTable
- #true_positive_rate — AdaBoost::ContingencyTable
- #update_weights — AdaBoost::AdaBoost
- #used_feature_numbers — AdaBoost::Evaluator