活动销量线性回归

linear/train.py

@@ -31,8 +31,8 @@ def read_data(path):
 
 
 def demo():
-	X_train,y_train=read_data("train_data")
-	X_test,y_test=read_data("test_data")
+	X_train,y_train=read_data("../bbztx/train_data")
+	X_test,y_test=read_data("../bbztx/test_data")
 
 	#一个对象，它代表的线性回归模型，它的成员变量，就已经有了w，b. 刚生成w和b的时候 是随机的
 	model = LinearRegression()
@@ -70,7 +70,7 @@ def demo():
 
 
 def draw_line():
-	x_train, y_train = read_data("train_data")
+	x_train, y_train = read_data("../bbztx/train_data")
 	print(x_train.tolist())
 	print(y_train.tolist())
 	draw_util.drawScatter(x_train.tolist(), y_train.tolist())
@@ -83,6 +83,6 @@ if __name__ == '__main__':
 	q = [i[0] for i in q.tolist()]
 	w = w[0]
 	b = b[0]
-	draw_util.drawScatterAndLine(p, q, w, b)
+	# draw_util.drawScatterAndLine(p, q, w, b)