def start(): data = pandas.read_csv("../data/all_features_train.csv") train,train_output,dev,dev_output = cleaning(data) accuracy,model = mxg.train(train, train_output,dev,dev_output,50) print 'Dev AME: ',accuracy
def start(): # prediction_col_name = "Expected" prediction_col_name = "y" data = pandas.read_csv("../data/temp", sep=" ") # data = pandas.read_csv("../data/subtrain.csv") train = data[:20] dev = data[20:] train_output = train[prediction_col_name] del train[prediction_col_name] dev_output = dev[prediction_col_name] del dev[prediction_col_name] accuracy,model = mxg.train(train, train_output,dev,dev_output) print 'Dev AME: ',accuracy