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
