format

Author: huangzhipeng

README.md

@@ -20,14 +20,14 @@ import deepwisdom as dw
 
 if __name__ == "__main__":
 
-    api_client = dw.Client(appid="your appid", api_key="your api key", secret_key="your secret key")
+    api_client = dw.Client(appid="your_appid", api_key="your_api_key", secret_key="your_secret_key")
     dw.set_client(client=api_client)
 
-    train_dataset = dw.Dataset.create(file_path="path to train", stage="train")
+    train_dataset = dw.Dataset.create(file_path="path_to_train", stage="train")
     automl = dw.AutoML.create(dataset=train_dataset, name="sdk-demo", label_col="k", time_col="g")
     automl.train()
 
-    test_dataset = dw.Dataset.create(file_path="path to test", stage="test")
+    test_dataset = dw.Dataset.create(file_path="path_to_test", stage="test")
     eval_res = automl.evaluate(test_dataset)
 
     service = dw.Deployment.create(project=automl, name="sdk-demo")

docs/examples/dataset.md

@@ -5,14 +5,15 @@
 ```python
 import deepwisdom as dw
 
-# 初始化api客户端， 传入申请的appid, api_key, secret_key
-api_client = dw.Client(appid=4, api_key="xx", secret_key="xxx")
-dw.set_client(client=api_client)
-
-datasets = dw.Dataset.create(
-            str_conn='{"host":"xxx","port":"xxx","user":"root","password":"","db":""}',  # mysql/hive
-            cloud_type=0,  # 云类型: 0本地, 1Amazon, 2阿里云, 3腾讯云, 4华为云
-            source=5,  # 数据来源: 0本地文件, 1mysql, 2oracle, 3mariadb, 4hdfs, 5hive
-            chosed_tables='[{"autotables":[{"table_name":"dataset_update_record"},{"table_name":"scene"}]}]'  # 选择的table 列表。 autotables代表db，dataset_update_record|scene代表autotable下的两个表,支持多层嵌套 
-        )
+if __name__ == "__main__":
+    # 初始化api客户端， 传入申请的appid, api_key, secret_key
+    api_client = dw.Client(appid=4, api_key="xx", secret_key="xxx")
+    dw.set_client(client=api_client)
+    
+    datasets = dw.Dataset.create(
+                str_conn='{"host":"xxx","port":"xxx","user":"root","password":"","db":""}',  # mysql/hive
+                cloud_type=0,  # 云类型: 0本地, 1Amazon, 2阿里云, 3腾讯云, 4华为云
+                source=5,  # 数据来源: 0本地文件, 1mysql, 2oracle, 3mariadb, 4hdfs, 5hive
+                chosed_tables='[{"autotables":[{"table_name":"dataset_update_record"},{"table_name":"scene"}]}]'  # 选择的table 列表。 autotables代表db，dataset_update_record|scene代表autotable下的两个表,支持多层嵌套 
+            )
 ```