MainDev.py

@@ -1,29 +0,0 @@
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.linear_model import LinearRegression
-from sklearn.pipeline import make_pipeline
-from sklearn import preprocessing
-from sklearn import linear_model
-
-import pandas as pd
-import numpy as np
-
-myT = pd.read_csv('train/train.tsv', sep='\t',
-	names = ['price','mileage','year','brand','engineType','engineCapacity'])
-datF = pd.DataFrame(myT, 
-	columns = ['price','mileage','year','brand','engineType','engineCapacity'])
-y = datF[['price']]
-x = datF[['year','mileage','engineCapacity']]
-reg = linear_model.LinearRegression()
-reg.fit(x, y)
-put = pd.read_csv('dev-0/in.tsv', sep = '\t',
-	names = ['mileage','year','brand','engineType','engineCapacity'])
-datF = pd.DataFrame(put,
-	columns = ['mileage','year','brand','engineType','engineCapacity'])
-r = datF[['year','mileage','engineCapacity']]
-y1 = reg.predict(r)
-y1 = np.concatenate(y1)
-tmp = np.array2string(y1, precision = 5, 
-	separator = '\n', suppress_small = True)
-tmp = tmp.lstrip('[').rstrip(']')
-f = open("dev-0/out.tsv", "a")
-f.write(tmp)

MainTest.py

@@ -1,29 +0,0 @@
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.linear_model import LinearRegression
-from sklearn.pipeline import make_pipeline
-from sklearn import preprocessing
-from sklearn import linear_model
-
-import pandas as pd
-import numpy as np
-
-myT = pd.read_csv('train/train.tsv', sep='\t',
-	names = ['price','mileage','year','brand','engineType','engineCapacity'])
-datF = pd.DataFrame(myT, 
-	columns = ['price','mileage','year','brand','engineType','engineCapacity'])
-y = datF[['price']]
-x = datF[['year','mileage','engineCapacity']]
-reg = linear_model.LinearRegression()
-reg.fit(x, y)
-put = pd.read_csv('test-A/in.tsv', sep = '\t',
-	names = ['mileage','year','brand','engineType','engineCapacity'])
-datF = pd.DataFrame(put,
-	columns = ['mileage','year','brand','engineType','engineCapacity'])
-r = datF[['year','mileage','engineCapacity']]
-y1 = reg.predict(r)
-y1 = np.concatenate(y1)
-tmp = np.array2string(y1, precision = 5, 
-	separator = '\n', suppress_small = True)
-tmp = tmp.lstrip('[').rstrip(']')
-f = open("test-A/out.tsv", "a")
-f.write(tmp)