called by abstractnlp #getmodel element , abstracttrainspace , int , int . concode_field_sep String TAG_LANGUAGE concode_elem_sep String TAG_READER concode_elem_sep String TAG_TRAIN_ALGORITHM_NAME concode_elem_sep String TAG_MODE concode_elem_sep String TAG_TRAIN_ALGORITHM concode_elem_sep int i_rand concode_elem_sep String TAG_MODEL concode_elem_sep Logger LOG concode_elem_sep String TAG_TYPE concode_elem_sep String TAG_READER_COLUMN concode_elem_sep String TAG_TRAIN concode_elem_sep String TAG_TRAIN_THREADS concode_elem_sep String TAG_READER_COLUMN_INDEX concode_elem_sep String TAG_DICTIONARY concode_elem_sep String TAG_MODELS concode_elem_sep String TAG_READER_COLUMN_FIELD concode_elem_sep String TAG_PATH concode_field_sep String getLanguage concode_elem_sep ObjectIntOpenHashMap<String> getFieldMap concode_elem_sep AbstractModel getModel concode_elem_sep int getNumOfThreads concode_elem_sep AbstractReader<?> getReader concode_elem_sep void updateAdaGradModel concode_elem_sep JointReader getJointReader concode_elem_sep String getDictionary concode_elem_sep AbstractModel getAdaGradModel concode_elem_sep void updateAdaGradLRModel concode_elem_sep AbstractModel getAdaGradLRModel concode_elem_sep void updateModel concode_elem_sep List<String[]> getFilenames concode_elem_sep void initArgs concode_elem_sep String toString concode_elem_sep void printTime
AbstractModel function ( AbstractTrainSpace arg0 , int arg1 , byte arg2 , double arg3 , double arg4 , double arg5 ) { arg0 . build ( ) ; LOG . info ( "srini_string" ) ; LOG . info ( String . format ( "srini_string" , arg2 , arg3 , arg4 , arg5 ) ) ; return LiblinearTrain . getModel ( arg0 , arg1 , arg2 , arg3 , arg4 , arg5 ) ; }