update

serve.py

@@ -35,7 +35,7 @@ class Config:
 	shuffle_train_data = True
 
 	# train_data_rate = 0.95 #comment yqy
-	train_data_rate = 1  # add yqy
+	train_data_rate = 0.95  # add yqy
 	valid_data_rate = 0.15
 
 	batch_size = 64
@@ -140,7 +140,6 @@ def draw_yqy(config2, origin_data, predict_norm_data, mean_yqy, std_yqy):
 	assert label_norm_data.shape[0] == predict_norm_data.shape[
 		0], "The element number in origin and predicted data is different"
 
-	print("dsa")
 	# label_norm_data=label_norm_data[:,1]
 	label_name = 'high'
 	label_column_num = 3
@@ -152,16 +151,14 @@ def draw_yqy(config2, origin_data, predict_norm_data, mean_yqy, std_yqy):
 	# label_X = range(origin_data.data_num - origin_data.train_num - origin_data.start_num_in_test)
 	# predict_X = [x + config.predict_day for x in label_X]
 
-	print("2")
-
-	print(label_norm_data[:, 1:2])
+	# print(label_norm_data[:, 1:2])
 	label_data = label_norm_data[:, 1:2] * std_yqy[1:2] + mean_yqy[1:2]
-	print(label_data)
+	# print(label_data)
 
-	print(predict_norm_data)
+	# print(predict_norm_data)
 	predict_data = predict_norm_data * std_yqy[config.label_in_feature_columns] + mean_yqy[
 		config.label_in_feature_columns]
-	print(predict_data)
+	# print(predict_data)
 
 	print(label_data[:, -1])
 	print(predict_data[:, -1])
@@ -330,7 +327,7 @@ if __name__ == '__main__':
 				csvfile, delimiter=',',
 				quotechar='|', quoting=csv.QUOTE_MINIMAL
 			)
-			#spamwriter.writerow(["job", "model", "time", "utilGPU", "utilCPU", "pre", "main", "post"])
+			# spamwriter.writerow(["job", "model", "time", "utilGPU", "utilCPU", "pre", "main", "post"])
 			spamwriter.writerow(["seq", "value"])
 
 		# Wait forever for incoming http requests