modify: 目录

metric_test.py → test/metric_test.py

@@ -24,13 +24,13 @@ class A(MetricBase):
 
     def calculate(self, *args, **kwargs) -> MetricFucResultEntity:
         data = self._load_data()
-        return MetricFucResultEntity(table=data, value='1', image_path='cache/image/t1.png')
+        return MetricFucResultEntity(table=data, value='1', image_path='../cache/image/t1.png')
 
 
 if __name__ == "__main__":
     # f_register_metric_func(A)
 
-    data_loader = DataLoaderHive(DbConfigEntity.from_config("config/demo/hive_config.json"))
+    data_loader = DataLoaderHive(DbConfigEntity.from_config("../config/demo/hive_config.json"))
     df = data_loader.get_data("select * from pokes")
     print(df.head())
 

metric_test2.py → test/metric_test2.py

@@ -25,7 +25,7 @@ class AMetric(MetricBase):
 
     def calculate(self, *args, **kwargs) -> MetricFucResultEntity:
         data = self._load_data(*args, **kwargs)
-        return MetricFucResultEntity(table=data, value='1', image_path='cache/image/t1.png')
+        return MetricFucResultEntity(table=data, value='1', image_path='../cache/image/t1.png')
 
 class BMetric(MetricBase):
 
@@ -49,6 +49,6 @@ if __name__ == "__main__":
     # a.writr("cache/a.xlsx")
 
 
-    monitor_metric = MonitorMetric("./cache/model_monitor_config1.json")
+    monitor_metric = MonitorMetric("../cache/model_monitor_config1.json")
     monitor_metric.calculate_metric(data_loader=data_loader)
     monitor_metric.generate_report()

metric_test3.py → test/metric_test3.py

@@ -26,7 +26,7 @@ class BMetric(MetricBase):
 
 if __name__ == "__main__":
     f_register_metric_func(BMetric)
-    data_loader = DataLoaderMysql(DbConfigEntity.from_config("config/demo/mysql_config.json"))
-    monitor_metric = MonitorMetric("config/demo/monitor_config_template_excel.json")
+    data_loader = DataLoaderMysql(DbConfigEntity.from_config("../config/demo/mysql_config.json"))
+    monitor_metric = MonitorMetric("../config/demo/monitor_config_template_excel.json")
     monitor_metric.calculate_metric(data_loader=data_loader)
     monitor_metric.generate_report()

train_test_lr.py → test/train_test_lr.py

@@ -27,7 +27,7 @@ if __name__ == "__main__":
     data = DataSplitEntity(train_data=dat[:709], test_data=dat[709:])
 
     # 训练并生成报告
-    train_pipeline = Pipeline(MlConfigEntity.from_config('config/demo/ml_config_template.json'), data)
+    train_pipeline = Pipeline(MlConfigEntity.from_config('../config/demo/ml_config_template.json'), data)
     # 特征处理
     cfg = {
         "project_name": "demo",