fix config

config.txt

@@ -1 +1 @@
---precision 1
+--metric RMSE --precision 1

program-dev0.py

@@ -1,24 +0,0 @@
-import numpy as np
-from sklearn import preprocessing
-from sklearn.pipeline import make_pipeline
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.linear_model import LinearRegression
-from sklearn import linear_model
-import pandas as pd
-
-
-train=pd.read_csv('train/train.tsv',sep='\t',names=['price','mileage','year','brand','engineType','engineCapacity'])
-df = pd.DataFrame(train,columns=['price','mileage','year','brand','engineType','engineCapacity'])
-Y=df[['price']]
-X=df[['year','mileage','engineCapacity']]
-reg = linear_model.LinearRegression()
-reg.fit(X, Y)
-inn=pd.read_csv('dev-0/in.tsv',sep='\t',names=['mileage','year','brand','engineType','engineCapacity'])
-df = pd.DataFrame(inn,columns=['mileage','year','brand','engineType','engineCapacity'])
-r=df[['year','mileage','engineCapacity']]
-y_pred=reg.predict(r)
-y_pred=np.concatenate(y_pred)
-t=np.array2string(y_pred, precision=5, separator='\n',suppress_small=True)
-t=t.lstrip('[').rstrip(']')
-f = open("dev-0/out.tsv", "a")
-f.write(t)

program-testA.py

@@ -1,24 +0,0 @@
-import numpy as np
-from sklearn import preprocessing
-from sklearn.pipeline import make_pipeline
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.linear_model import LinearRegression
-from sklearn import linear_model
-import pandas as pd
-
-
-train=pd.read_csv('train/train.tsv',sep='\t',names=['price','mileage','year','brand','engineType','engineCapacity'])
-df = pd.DataFrame(train,columns=['price','mileage','year','brand','engineType','engineCapacity'])
-Y=df[['price']]
-X=df[['year','mileage','engineCapacity']]
-reg = linear_model.LinearRegression()
-reg.fit(X, Y)
-inn=pd.read_csv('test-A/in.tsv',sep='\t',names=['mileage','year','brand','engineType','engineCapacity'])
-df = pd.DataFrame(inn,columns=['mileage','year','brand','engineType','engineCapacity'])
-r=df[['year','mileage','engineCapacity']]
-y_pred=reg.predict(r)
-y_pred=np.concatenate(y_pred)
-t=np.array2string(y_pred, precision=5, separator='\n',suppress_small=True)
-t=t.lstrip('[').rstrip(']')
-f = open("test-A/out.tsv", "a")
-f.write(t)