nl_tokens: Send the given dataset to liblinear_train .
pl_tokens: function ( dataset ) { this . timestamp = new Date ( ) . getTime ( ) + "_" + process . pid // check for multilabel _ . each ( dataset , function ( datum , key , list ) { if ( _ . isArray ( datum . output ) ) if ( datum . output . length > 1 ) { console . log ( "Multi-label is not allowed" ) console . log ( JSON . stringify ( darum . output , null , 4 ) ) process . exit ( 0 ) } } , this ) //  convert all arraay-like outputs to just values dataset = _ . map ( dataset , function ( datum ) { if ( _ . isArray ( datum . output ) ) datum . output = datum . output [ 0 ] return datum } ) ; this . allLabels = _ ( dataset ) . map ( function ( datum ) { return datum . output } ) ; this . allLabels = _ . uniq ( _ . flatten ( this . allLabels ) ) // dataset = _.map(dataset, function(datum){ // 	datum.output = this.allLabels.indexOf(datum.output) // 	return datum }); if ( this . allLabels . length == 1 ) // a single label return ; //console.log(util.inspect(dataset,{depth:1})); if ( this . debug ) console . <mask> ( "trainBatch start" ) ; var learnFile = svmcommon . writeDatasetToFile ( dataset , this . bias , /*binarize=*/ false , this . model_file_prefix + "_" + this . timestamp , "SvmLinear" , FIRST_FEATURE_NUMBER ) ; var modelFile = learnFile . replace ( / [.]learn / , ".model" ) ; var command = this . train_command + " " + this . learn_args + " " + learnFile + " " + modelFile ; console . log ( "running " + command ) ; var result = child_process . execSync ( command ) ; if ( result . code > 0 ) { console . dir ( result ) ; console . log ( fs . readFileSync ( learnFile , 'utf-8' ) ) ; throw new Error ( "Failed to execute: " + command ) ; } this . modelFileString = modelFile ; if ( this . debug ) console . log ( "trainBatch end" ) ; }