fix config

solution.py

@@ -1,26 +0,0 @@
-import numpy
-import pandas
-import sys
-from sklearn.linear_model import LinearRegression
-
-def predict(model, dir):
-    df = pandas.read_csv(dir+"/in.tsv", sep='\t', header=None, index_col=None)
-    input_x = numpy.array(df[1].tolist()).reshape(-1, 1)
-    pred = model.predict(input_x)
-    numpy.savetxt(dir + "/out.tsv", pred, fmt='%d', delimiter='\n')
-
-
-trainCsv = pandas.read_csv("train/train.tsv", sep='\t', header=None, index_col=None)
-data = {
-    'x': trainCsv[2].tolist(), 
-    'y':  trainCsv[0].tolist(),
-}
-
-x = numpy.array(data.get('x')).reshape(-1, 1)
-y = numpy.array(data.get('y')).reshape(-1, 1)
-
-model = LinearRegression()
-model.fit(x, y)
-
-predict(model, "dev-0")
-predict(model, "test-A")