itxwh
diff --git a/‎testData/LogisticHorseColicTest.txt renamed to ‎input/05.Logistic/HorseColicTest.txt b/‎testData/LogisticHorseColicTest.txt renamed to ‎input/05.Logistic/HorseColicTest.txt
diff --git a/‎testData/LogisticHorseColicTraining.txt renamed to ‎input/05.Logistic/HorseColicTraining.txt b/‎testData/LogisticHorseColicTraining.txt renamed to ‎input/05.Logistic/HorseColicTraining.txt
diff --git a/‎testData/LogisticTestSet.txt renamed to ‎input/05.Logistic/TestSet.txt b/‎testData/LogisticTestSet.txt renamed to ‎input/05.Logistic/TestSet.txt
diff --git a/‎src/python/05.Logistic/logistic.py
+1-3 b/‎src/python/05.Logistic/logistic.py
+1-3
diff --git a/‎testData/Logistic_testdata.txt
-100 b/‎testData/Logistic_testdata.txt
-100
@@ -128,10 +128,8 @@ def plotBestFit(dataArr, labelMat, weights):
 
 
 def main():
-    # project_dir = os.path.dirname(os.path.dirname(os.getcwd()))
     # 1.收集并准备数据
-    # dataMat, labelMat = loadDataSet("%s/testData/Logistic_testdata.txt" % project_dir)
-    dataMat, labelMat = loadDataSet("testData/Logistic_testdata.txt")
+    dataMat, labelMat = loadDataSet("input/05.Logistic/TestSet.txt")
 
     # print dataMat, '---\n', labelMat
     # 2.训练模型，  f(x)=a1*x1+b2*x2+..+nn*xn中 (a1,b2, .., nn).T的矩阵值