CICADA_LEARN_MPI(1)

NAME
cicada_learn_mpi -

SYNOPSIS

cicada_learn_mpi [options]

OPTIONS
--forest arg forest path(s)

--input arg input path(s) (an alias for --forest)

--intersected arg intersected forest path(s)

--oracle arg oracle forest path(s) (an alias for --intersected)

--refset arg reference translation(s)

--weights arg initial parameter

--weights-history arg parameter history

--output arg output parameter

--output-objective arg output final objective

--iteration arg (=100) max # of iterations

--learn-softmax Softmax objective

--learn-xbleu xBLEU objective

--learn-mira online MIRA algorithm

--learn-pa online PA algorithm (synonym to MIRA)

--learn-nherd online NHERD algorithm

--learn-arow online AROW algorithm

--learn-cw online CW algorithm

--learn-hinge online hinge-loss objective with SGD

--optimize-lbfgs LBFGS optimizer

--optimize-cg CG optimizer

--optimize-sgd SGD optimizer

--regularize-l1 arg L1-regularization

--regularize-l2 arg L2-regularization

--regularize-lambda arg regularization constant

--regularize-oscar arg OSCAR regularization constant

--scale arg (=1) scaling for weight

--alpha0 arg (=0.84999999999999998) alpha_0 for decay

--eta0 arg eta_0 for decay

--order arg (=4) ngram order for xBLEU

--rate-exponential exponential learning rate

--rate-simple simple learning rate

--rate-adagrad adaptive learning rate (AdaGrad)

--rda RDA method for optimization
    (regularized dual averaging method)

    --annealing annealing

    --quenching quenching

    --temperature arg (=0) temperature

    --temperature-start arg (=1000) start temperature for annealing

    --temperature-end arg (=0.001) end temperature for annealing

    --temperature-rate arg (=0.5) annealing rate

    --quench-start arg (=0.01) start quench for annealing

    --quench-end arg (=100) end quench for annealing

    --quench-rate arg (=10) quenching rate

    --scale-fixed fixed scaling

--scorer arg (=bleu:order=4,exact=true)
    error metric

    --scorer-list list of error metric

    --unite unite forest sharing the same id

    --debug [=arg(=1)] debug level

    --help help message

AUTHOR
Taro Watanabe <taro.watanabe@nict.go.jp>