Documentation for ruby-band (0.1.13)

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File Listing

README

Namespace Listing A-Z

Top Level Namespace

ADTree (Weka::Classifier::Trees)
AODE (Weka::Classifier::Bayes)
Add (Weka::Filter::Unsupervised::Attribute)
AddClassification (Weka::Filter::Supervised::Attribute)
AddCluster (Weka::Filter::Unsupervised::Attribute)
Apache
Apache_matrix (Core::Type)
Apache_matrix_block (Core::Type)
Array
Attribute (Weka::Filter::Unsupervised)
Attribute (Weka::Filter::Supervised)
Attribute (Core::Type)
AttributeSelection (Weka::Filter::Supervised::Attribute)
Attribute_selection (Weka)
Attribute_selection_Utils

BFTree (Weka::Classifier::Trees)
Base (Weka::Classifier::Mi::MIOptimalBall)
Base (Weka::Classifier::Mi::MINND)
Base (Weka::Classifier::Mi::MISMO)
Base (Weka::Classifier::Trees::FT)
Base (Weka::Classifier::Mi::MIWrapper)
Base (Weka::Classifier::Mi::MISVM)
Base (Weka::Classifier::Functions::SMO)
Base (Weka::Classifier::Trees::RandomTree)
Base (Weka::Classifier::Mi::MILR)
Base (Weka::Classifier::Mi::MIEMDD)
Base (Weka::Classifier::Mi::CitationKNN)
Base (Weka::Classifier::Functions::LinearRegression)
Base (Weka::Classifier::Rules::RuleStats)
Base (Weka::Classifier::Functions::GaussianProcesses)
Base (Weka::Classifier::Mi::MIDD)
Base (Weka::Classifier::Mi::MIBoost)
Base (Weka::Classifier::Mi::SimpleMI)
Base (Weka::Classifier::Mi::MDD)
Base (Weka::Classifier::Lazy::LBR)
Base (Weka::Classifier::Lazy::KStar)
Base (Weka::Classifier::Functions::Winnow)
Base (Weka::Classifier::Lazy::LWL)
Base (Weka::Classifier::Functions::LeastMedSq)
Base (Weka::Classifier::Trees::RandomForest)
Base (Weka::Classifier::Trees::ADTree)
Base (Core::Type::Instances)
Base (Weka::Classifier::Functions::SPegasos)
Base (Weka::Classifier::Rules::ZeroR)
Base (Weka::Classifier::Rules::Prism)
Base (Weka::Clusterer::HierarchicalClusterer)
Base (Weka::Classifier::Lazy::IBk)
Base (Weka::Clusterer::EM)
Base (Weka::Classifier::Functions::LibSVM)
Base (Weka::Classifier::Lazy::IB1)
Base (Weka::Clusterer::Cobweb)
Base (Weka::Clusterer::SimpleKMeans)
Base (Weka::Clusterer::XMeans)
Base (Weka::Clusterer::FarthestFirst)
Base (Weka::Classifier::Bayes::WAODE)
Base (Weka::Classifier::Functions::PLSClassifier)
Base (Weka::Classifier::Trees::LMT)
Base (Weka::Classifier::Bayes::NaiveBayes)
Base (Weka::Classifier::Bayes::AODE)
Base (Weka::Classifier::Bayes::ComplementNaiveBayes)
Base (Weka::Classifier::Functions::VotedPerceptron)
Base (Weka::Classifier::Trees::M5P)
Base (Weka::Classifier::Bayes::BayesianLogisticRegression)
Base (Weka::Classifier::Trees::BFTree)
Base (Weka::Classifier::Rules::Rule)
Base (Weka::Classifier::Trees::J48)
Base (Weka::Classifier::Rules::Ridor)
Base (Weka::Classifier::Trees::J48graft)
Base (Weka::Classifier::Rules::NNge)
Base (Weka::Classifier::Rules::PART)
Base (Weka::Classifier::Rules::DTNB)
Base (Weka::Classifier::Rules::DecisionTable)
Base (Weka::Classifier::Rules::JRip)
Base (Weka::Classifier::Rules::M5Rules)
Base (Weka::Classifier::Functions::SMOreg)
Base (Weka::Classifier::Functions::RBFNetwork)
Base (Weka::Classifier::Rules::OneR)
Bayes (Weka::Classifier)
Bayes_utils
BayesianLogisticRegression (Weka::Classifier::Bayes)

Center (Weka::Filter::Unsupervised::Attribute)
CfsSubsetEval (Weka::Attribute_selection::Evaluator)
ChiSquaredAttributeEval (Weka::Attribute_selection::Evaluator)
Chi_square (Apache::Stat::Inference)
CitationKNN (Weka::Classifier::Mi)
ClassMethods (Clusterer_utils)
ClassMethods (Functions_utils)
ClassMethods (Bayes_utils)
ClassMethods (Trees_utils)
ClassMethods (Rules_utils)
ClassMethods (Mi_utils)
ClassMethods (Lazy_utils)
ClassOrder (Weka::Filter::Supervised::Attribute)
Classifier (Weka)
ClassifierSubsetEval (Weka::Attribute_selection::Evaluator)
ClusterMembership (Weka::Filter::Unsupervised::Attribute)
Clusterer (Weka)
Clusterer_utils
Cobweb (Weka::Clusterer)
ComplementNaiveBayes (Weka::Classifier::Bayes)
ConsistencySubsetEval (Weka::Attribute_selection::Evaluator)
Core
Correlation (Apache::Stat)
CostSensitiveSubsetEval (Weka::Attribute_selection::Evaluator)

DTNB (Weka::Classifier::Rules)
Db (Weka)
DecisionTable (Weka::Classifier::Rules)
Discretize (Weka::Filter::Unsupervised::Attribute)
Discretize (Weka::Filter::Supervised::Attribute)

EM (Weka::Clusterer)
Evaluation (Weka::Classifier)
Evaluator (Weka::Attribute_selection)
ExhaustiveSearch (Weka::Attribute_selection::Search)

FT (Weka::Classifier::Trees)
FarthestFirst (Weka::Clusterer)
Filter (Weka)
FilteredAttributeEval (Weka::Attribute_selection::Evaluator)
FilteredSubsetEval (Weka::Attribute_selection::Evaluator)
Functions (Weka::Classifier)
Functions_utils

GainRatioAttributeEval (Weka::Attribute_selection::Evaluator)
GaussianProcesses (Weka::Classifier::Functions)
GeneticSearch (Weka::Attribute_selection::Search)
GreedyStepwise (Weka::Attribute_selection::Search)

HierarchicalClusterer (Weka::Clusterer)

IB1 (Weka::Classifier::Lazy)
IBk (Weka::Classifier::Lazy)
Inference (Apache::Stat)
Instance (Weka::Filter::Unsupervised)
Instance (Weka::Filter::Supervised)
Instance (Core::Type)
Instances (Core::Type)

J48 (Weka::Classifier::Trees)
J48graft (Weka::Classifier::Trees)
JRip (Weka::Classifier::Rules)

KStar (Weka::Classifier::Lazy)

LBR (Weka::Classifier::Lazy)
LMT (Weka::Classifier::Trees)
LWL (Weka::Classifier::Lazy)
Lazy (Weka::Classifier)
Lazy_utils
LeastMedSq (Weka::Classifier::Functions)
LibSVM (Weka::Classifier::Functions)
LinearRegression (Weka::Classifier::Functions)

M5P (Weka::Classifier::Trees)
M5Rules (Weka::Classifier::Rules)
MDD (Weka::Classifier::Mi)
MIBoost (Weka::Classifier::Mi)
MIDD (Weka::Classifier::Mi)
MIEMDD (Weka::Classifier::Mi)
MILR (Weka::Classifier::Mi)
MINND (Weka::Classifier::Mi)
MIOptimalBall (Weka::Classifier::Mi)
MISMO (Weka::Classifier::Mi)
MISVM (Weka::Classifier::Mi)
MIWrapper (Weka::Classifier::Mi)
Mi (Weka::Classifier)
Mi_utils

NNge (Weka::Classifier::Rules)
NaiveBayes (Weka::Classifier::Bayes)
NominalToBinary (Weka::Filter::Supervised::Attribute)
NominalToString (Weka::Filter::Unsupervised::Attribute)
NonSparseToSparse (Weka::Filter::Unsupervised::Instance)
Normalize (Weka::Filter::Unsupervised::Attribute)
Normalize (Weka::Filter::Unsupervised::Instance)

OS
OneR (Weka::Classifier::Rules)

PART (Weka::Classifier::Rules)
PLSClassifier (Weka::Classifier::Functions)
PLSFilter (Weka::Filter::Supervised::Attribute)
Parser (Core)
PrincipalComponents (Weka::Filter::Unsupervised::Attribute)
Prism (Weka::Classifier::Rules)

RBFNetwork (Weka::Classifier::Functions)
RaceSearch (Weka::Attribute_selection::Search)
RandomForest (Weka::Classifier::Trees)
RandomSearch (Weka::Attribute_selection::Search)
RandomTree (Weka::Classifier::Trees)
RankSearch (Weka::Attribute_selection::Search)
Ranker (Weka::Attribute_selection::Search)
Regression (Apache::Stat)
Remove (Weka::Filter::Unsupervised::Attribute)
RemoveRange (Weka::Filter::Unsupervised::Instance)
RemoveWithValues (Weka::Filter::Unsupervised::Instance)
Resample (Weka::Filter::Supervised::Instance)
Ridor (Weka::Classifier::Rules)
Rule (Weka::Classifier::Rules)
RuleStats (Weka::Classifier::Rules)
Rules (Weka::Classifier)
Rules_utils

SMO (Weka::Classifier::Functions)
SMOreg (Weka::Classifier::Functions)
SPegasos (Weka::Classifier::Functions)
SVMAttributeEval (Weka::Attribute_selection::Evaluator)
ScatterSearchV1 (Weka::Attribute_selection::Search)
Search (Weka::Attribute_selection)
SerializationHelper (Core)
SimpleKMeans (Weka::Clusterer)
SimpleMI (Weka::Classifier::Mi)
SparseToNonSparse (Weka::Filter::Unsupervised::Instance)
Standardize (Weka::Filter::Unsupervised::Attribute)
Stat (Apache)
StringToWordVector (Weka::Filter::Unsupervised::Attribute)
SubsetByExpression (Weka::Filter::Unsupervised::Instance)
Supervised (Weka::Filter)
Supervised_Util

T_test (Apache::Stat::Inference)
Trees (Weka::Classifier)
Trees_utils
Type (Core)

Unsupervised (Weka::Filter)
Unsupervised_Util
Utils (Core)

VotedPerceptron (Weka::Classifier::Functions)

WAODE (Weka::Classifier::Bayes)
Weka
Winnow (Weka::Classifier::Functions)

XMeans (Weka::Clusterer)

ZeroR (Weka::Classifier::Rules)