def __init__(self, config, nodeName, loadFromFile=False):
self.node = config.GetChild(nodeName)
self.segmenter = Segmenter(config, "__segmenter__")
self.trained = loadFromFile
PyMining.Init(config, "__global__", loadFromFile)
#encoding=utf8
from matrix import Matrix
from classifier_matrix import ClassifierMatrix
from segmenter import Segmenter
from py_mining import PyMining
from configuration import Configuration
from chisquare_filter import ChiSquareFilter
from naive_bayes import NaiveBayes
if __name__ == "__main__":
config = Configuration.FromFile("conf/test.xml")
PyMining.Init(config, "__global__")
matCreater = ClassifierMatrix(config, "__matrix__")
[trainx, trainy] = matCreater.CreateTrainMatrix("data/train.txt")
chiFilter = ChiSquareFilter(config, "__filter__")
chiFilter.TrainFilter(trainx, trainy)
nbModel = NaiveBayes(config, "naive_bayes")
nbModel.Train(trainx, trainy)
inputStr = "仅售28元！原价698元的康迩福韩国美容美体中心的韩国特色美容套餐1份（紫莱花园店、时代奥城店2店通用）：韩国特色面部SPA护理1次+韩国特色面部瘦脸加毛孔净化1次+韩国特色水"
[cols, vals] = matCreater.CreatePredictSample(inputStr)
[cols, vals] = chiFilter.SampleFilter(cols, vals)
probTuple = nbModel.TestSample(cols, vals)
print probTuple