This is the complete list of members for joshua.pro.Optimizer, including all inherited members.

Alpha(double x)	joshua.pro.Optimizer	`[private]`
classifierAlg	joshua.pro.Optimizer	`[private]`
classifierParam	joshua.pro.Optimizer	`[private]`
compute_Score(int sentId, String[] cands)	joshua.pro.Optimizer	`[private]`
computeCorpusMetricScore(double[] finalLambda)	joshua.pro.Optimizer
copyLambda	joshua.pro.Optimizer	`[private]`
evalMetric	joshua.pro.Optimizer	`[private]`
feat_hash	joshua.pro.Optimizer	`[private]`
finalLambda	joshua.pro.Optimizer	`[private]`
finalScore	joshua.pro.Optimizer	`[private]`
initialLambda	joshua.pro.Optimizer	`[private]`
L_norm(double[] A, double pow)	joshua.pro.Optimizer	`[private]`
metricDiff	joshua.pro.Optimizer	`[private]`
nbestFormat	joshua.pro.Optimizer	`[private]`
NegInf	joshua.pro.Optimizer	`[private, static]`
normalizationOptions	joshua.pro.Optimizer	`[private]`
normalizeLambda(double[] origLambda)	joshua.pro.Optimizer	`[private]`
normalizeLambda_mode3(double[] origLambda)	joshua.pro.Optimizer	`[private]`
Optimizer(long _seed, int _sentNum, Vector< String > _output, double[] _initialTotalLambda, HashMap< String, String >[] _feat_hash, HashMap< String, String >[] _stats_hash, double _finalScore, EvaluationMetric _evalMetric, int _Tau, int _Xi, double _metricDiff, double[] _normalizationOptions, String _classifierAlg, String[] _classifierParam, String _trainMode, int _numSparseParam, int _numRegParam, String _nbestFormat)	joshua.pro.Optimizer
output	joshua.pro.Optimizer	`[private]`
paramDim	joshua.pro.Optimizer	`[private]`
PosInf	joshua.pro.Optimizer	`[private, static]`
process_Params()	joshua.pro.Optimizer
randgen	joshua.pro.Optimizer	`[private]`
regParamDim	joshua.pro.Optimizer	`[private]`
run_Optimizer()	joshua.pro.Optimizer
Sampler(int sentId)	joshua.pro.Optimizer	`[private]`
sentNum	joshua.pro.Optimizer	`[private]`
stats_hash	joshua.pro.Optimizer	`[private]`
Tau	joshua.pro.Optimizer	`[private]`
trainMode	joshua.pro.Optimizer	`[private]`
Xi	joshua.pro.Optimizer	`[private]`