Python learnMF示例

示例#1

文件： run_all.py 项目： kobauman/signature

 7) run_applyFeatureExistance.py
 '''
 modelfile = path + '/models/modelDict_%d.model'%numberFE
 trainAveragesFile = path+'/models/trainAverages_%d.model'%numberFE
 
 applyFE(path, modelfile, trainAveragesFile, 20000000000)
 
 '''
 8) run_applySentimentMF.py
 '''
 applySMF(path, 50000)
 
 '''
 9) run_applyAggregationModel.py
 '''
 applyAM(path,numberAM,200000)
 
 '''
 10) run_learnMF.py
 '''
 learnMF(path, 20000)
 
 '''
 11) run_applyMF.py
 '''
 applyMF(path, 4255)
 
 '''
 12) run_evaluation.py
 '''
 evaluate(path)

示例#2

文件： 10_11_run_MatrixFactorization.py 项目： kobauman/signature

from standartAlgorithms.applyMatrixFactorization import applyMF

from params.params import path

if __name__ == '__main__':
    logger = logging.getLogger('signature')

    logfile = '../../data/log/%d_learnSMF.log'%int(time.time())
    logging.basicConfig(filename = logfile, format='%(asctime)s : %(name)-12s: %(levelname)s : %(message)s')
    logging.root.setLevel(level=logging.DEBUG)
    logger.info("running %s" % ' '.join(sys.argv))
    
    console = logging.StreamHandler()
    console.setLevel(logging.DEBUG)
    # set a format which is simpler for console use
    formatter = logging.Formatter('%(asctime)s : %(name)-12s: %(levelname)-8s %(message)s')
    # tell the handler to use this format
    console.setFormatter(formatter)
    logger.addHandler(console)
    

    '''
    10) run_learnMF.py
    '''
    numberMF = learnMF(path, 200000000)
    
    #numberMF = 46192
    '''
    11) run_applyMF.py
    '''
    applyMF(path, numberMF)