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当前,我方将一组数据集合{一个维度、一个指标}引入到AVA程序,得到的结果有异议,望交流;
现状: 数据集合:由1个维度、1个指标构成; 已向AVA程序明确声明参与计算的维度、指标和其计算方法;insightTypes未特别声明某个洞察方式(默认为全部);
问题1(附图一): 在指标计算方法为SUM时,AVA返回数据出现精度问题,且语义内容存在不可读内容“平均为 nfinityE”; 正确输出值,应当=0
问题二(附图二): 在指标计算方式为MEAN时,AVA返回的洞察语义文本数据也出现精度问题 正确输出值,应当=0
但,同样的数据、同样的指标与计算方式(MEAN)、同样未声明特定的洞察方式,放在官网的示例中,却并未出现类似问题(与问题二对比),且图表样式与语义内容也本地部署的不同😳;
The text was updated successfully, but these errors were encountered:
感谢反馈,我们正在排查,方便的话可以提供部分可复现问题的数据么?不方便公开的字段可以 mock , 主要需要指标数值列的数据来验证下,谢谢
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示例数据:slbwb4-git问题数据-已脱敏.json https://www.aliyundrive.com/s/GGerbyGqaui 提取码: 1yk7 (链接有效期3天)
chenluli
LAI-X
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当前,我方将一组数据集合{一个维度、一个指标}引入到AVA程序,得到的结果有异议,望交流;
现状:
数据集合:由1个维度、1个指标构成;
已向AVA程序明确声明参与计算的维度、指标和其计算方法;insightTypes未特别声明某个洞察方式(默认为全部);
问题1(附图一):
![image](https://private-user-images.githubusercontent.com/6616413/241656176-2078b019-ecfe-481e-a2e8-663e86b56065.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjQwMjM3MTksIm5iZiI6MTcyNDAyMzQxOSwicGF0aCI6Ii82NjE2NDEzLzI0MTY1NjE3Ni0yMDc4YjAxOS1lY2ZlLTQ4MWUtYTJlOC02NjNlODZiNTYwNjUucG5nP1gtQW16LUFsZ29yaXRobT1BV1M0LUhNQUMtU0hBMjU2JlgtQW16LUNyZWRlbnRpYWw9QUtJQVZDT0RZTFNBNTNQUUs0WkElMkYyMDI0MDgxOCUyRnVzLWVhc3QtMSUyRnMzJTJGYXdzNF9yZXF1ZXN0JlgtQW16LURhdGU9MjAyNDA4MThUMjMyMzM5WiZYLUFtei1FeHBpcmVzPTMwMCZYLUFtei1TaWduYXR1cmU9MzEzZjJmNWFhOTdkYjI4M2M5MjFmZmFlNGYwYjFhYTYxNTRlMTgwNDIzYjgwZWE1NmMyZWZlODkxODJlZWE0NyZYLUFtei1TaWduZWRIZWFkZXJzPWhvc3QmYWN0b3JfaWQ9MCZrZXlfaWQ9MCZyZXBvX2lkPTAifQ.izPt3j_8e_fFPoY3dmp8MGrObPN4cheT-mvlznADfhE)
在指标计算方法为SUM时,AVA返回数据出现精度问题,且语义内容存在不可读内容“平均为 nfinityE”;
正确输出值,应当=0
问题二(附图二):
![image](https://private-user-images.githubusercontent.com/6616413/241658962-59922732-45f6-4316-82ec-7ba140e42420.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.JqlsclC2mzLLPF7HJZsKkKOoK4xqIht0UF22wVYA7Q8)
在指标计算方式为MEAN时,AVA返回的洞察语义文本数据也出现精度问题
正确输出值,应当=0
但,同样的数据、同样的指标与计算方式(MEAN)、同样未声明特定的洞察方式,放在官网的示例中,却并未出现类似问题(与问题二对比),且图表样式与语义内容也本地部署的不同😳;
![image](https://private-user-images.githubusercontent.com/6616413/241657660-68fbbcef-876b-4fd0-afe7-89e3b2ac278f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.Dag3DPYSLAcwxoDzfGxqK_GCT6jhDaB8dD3rGiCUnl8)
The text was updated successfully, but these errors were encountered: