crflearn: CRF learn.
In tmcn.crfpp: R interface to CRF++ for conditional random fields

Description Usage Arguments Value Author(s)

CRF learn.

  crflearn(templet_file, training_file, model_file,
    sigma = 1, freq_thresh = 0, thread_num = 1,
    max_iter = 10000, eta = 1e-04,
    algorithm = c("CRFs", "AP", "PA", "L1CRFs"), depth = 5,
    isfast = TRUE)

`templet_file`	Path of templet file.
`training_file`	Path of training file.
`model_file`	Path of model file.
`sigma`	Gaussian prior or L1 regularizer. Default value is 1.
`freq_thresh`	Frequency threshold. Default value is 0.
`thread_num`	Thread number. Default value is 1.
`max_iter`	Max iteration number. Default value is 10000.
`eta`	Controls training precision. Default value is 0.0001.
`algorithm`	Algorithm: CRFs means 'CRFs'; AP means 'Averaged Perceptron'; PA means 'Passive Aggressive'; L1CRFs means 'L1 CRFs'. Default value is 0.
`depth`	LBFGS depth. Default value is 5.
`isfast`	A logical value. TRUE means fast train crf, FALSE means slow but requires less memory. Default value is TRUE.