{"description":"实验创建于2017/8/26","graph":{"edges":[{"to_node_id":"-215:instruments","from_node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-8:data"},{"to_node_id":"-215:features","from_node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-24:data"},{"to_node_id":"-222:features","from_node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-24:data"},{"to_node_id":"-222:input_data","from_node_id":"-215:data"}],"nodes":[{"node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-8","module_id":"BigQuantSpace.instruments.instruments-v2","parameters":[{"name":"start_date","value":"2021-10-01","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"2021-12-01","type":"Literal","bound_global_parameter":null},{"name":"market","value":"CN_STOCK_A","type":"Literal","bound_global_parameter":null},{"name":"instrument_list","value":"","type":"Literal","bound_global_parameter":null},{"name":"max_count","value":"0","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"rolling_conf","node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-8"}],"output_ports":[{"name":"data","node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-8"}],"cacheable":true,"seq_num":1,"comment":"","comment_collapsed":true},{"node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-24","module_id":"BigQuantSpace.input_features.input_features-v1","parameters":[{"name":"features","value":" \nclose_0\nSBDLX3","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"features_ds","node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-24"}],"output_ports":[{"name":"data","node_id":"287d2cb0-f53c-4101-bdf8-104b137c8601-24"}],"cacheable":true,"seq_num":3,"comment":"","comment_collapsed":true},{"node_id":"-215","module_id":"BigQuantSpace.general_feature_extractor.general_feature_extractor-v7","parameters":[{"name":"start_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"before_start_days","value":"40","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"instruments","node_id":"-215"},{"name":"features","node_id":"-215"}],"output_ports":[{"name":"data","node_id":"-215"}],"cacheable":true,"seq_num":15,"comment":"","comment_collapsed":true},{"node_id":"-222","module_id":"BigQuantSpace.derived_feature_extractor.derived_feature_extractor-v3","parameters":[{"name":"date_col","value":"date","type":"Literal","bound_global_parameter":null},{"name":"instrument_col","value":"instrument","type":"Literal","bound_global_parameter":null},{"name":"drop_na","value":"False","type":"Literal","bound_global_parameter":null},{"name":"remove_extra_columns","value":"False","type":"Literal","bound_global_parameter":null},{"name":"user_functions","value":"def SBDLX3(df,close_0):\n Z1=ts_max(close_0,10)\n Z2=shift(Z1,1)\n Z3=mean(Z2,2)\n return Z3\n \n\n# 因为这俩表达式是我们新自定义的表达式,因此需要声明,以便在输入特征列表可使用\nbigquant_run = {\n 'SBDLX3':SBDLX3,\n}","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-222"},{"name":"features","node_id":"-222"}],"output_ports":[{"name":"data","node_id":"-222"}],"cacheable":true,"seq_num":16,"comment":"","comment_collapsed":true}],"node_layout":"<node_postions><node_position Node='287d2cb0-f53c-4101-bdf8-104b137c8601-8' Position='-11.659164428710938,-278.55804443359375,200,200'/><node_position Node='287d2cb0-f53c-4101-bdf8-104b137c8601-24' Position='295.6517028808594,-282.8202238082886,200,200'/><node_position Node='-215' Position='107,-51,200,200'/><node_position Node='-222' Position='79.26217651367188,37.47565460205078,200,200'/></node_postions>"},"nodes_readonly":false,"studio_version":"v2"}
[2022-04-21 19:44:52.071924] INFO: moduleinvoker: instruments.v2 开始运行..
[2022-04-21 19:44:52.080629] INFO: moduleinvoker: 命中缓存
[2022-04-21 19:44:52.082303] INFO: moduleinvoker: instruments.v2 运行完成[0.010389s].
[2022-04-21 19:44:52.086104] INFO: moduleinvoker: input_features.v1 开始运行..
[2022-04-21 19:44:52.114930] INFO: moduleinvoker: input_features.v1 运行完成[0.028817s].
[2022-04-21 19:44:52.127601] INFO: moduleinvoker: general_feature_extractor.v7 开始运行..
[2022-04-21 19:44:52.162072] WARNING: bigdatasource: cannot find filed [SBDLX3] table in field_table_map!
[2022-04-21 19:44:53.680461] WARNING: bigdatasource: unknown fields: ['SBDLX3']
[2022-04-21 19:44:53.862781] INFO: 基础特征抽取: 年份 2021, 特征行数=297653
[2022-04-21 19:44:53.895258] INFO: 基础特征抽取: 总行数: 297653
[2022-04-21 19:44:53.906806] INFO: moduleinvoker: general_feature_extractor.v7 运行完成[1.779218s].
[2022-04-21 19:44:53.915303] INFO: moduleinvoker: derived_feature_extractor.v3 开始运行..
[2022-04-21 19:44:54.375579] WARNING: derived_feature_extractor: 特征 SBDLX3,找不到依赖的列:SBDLX3
[2022-04-21 19:44:54.386904] INFO: derived_feature_extractor: 提取失败 SBDLX3: Unknown SBDLX3
[2022-04-21 19:44:54.823510] INFO: derived_feature_extractor: /y_2021, 297653
[2022-04-21 19:44:54.899593] INFO: moduleinvoker: derived_feature_extractor.v3 运行完成[0.984285s].