酸洗文件
我将Kedro与Databricks-Connect结合使用来运行我的机器学习模型。我接受了使用Databricks笔记本的训练并测试了模型，并将模型的泡菜文件保存到Azure Blob存储中。为了在本地测试管道，我下载了泡菜文件并在本地存储。 kedro在本地存储时会在文件中读取罚款，但是问题是我尝试直接从Azure读取文件中的kedro时。我会收到以下错误：“无效的负载密钥'？”
不幸的是，我无法发布任何屏幕截图，因为我的想法是在Azure上进行的咸菜文件的存储方式有所不同，并且在本地下载时，它是正确存储的
。型号训练的二手统计模型（SM.Logit）
I using kedro in conjunction with databricks-connect to run my machine learning model. I am trained and tested the model using databricks notebook and saved the pickle file of the model to azure blob storage. To test the pipeline locally I downloaded the pickle file and stored it locally. kedro reads in the file fine when stored locally, however the problem is when I try to read in the file into kedro directly from azure; I get the following error : "Invalid Load Key '?'
Unfortunately I cannot post any screenshots since I am doing this for my job. My thinking is that the pickle file is stored differently while on azure and when downloaded locally it is stored correctly.
For a bit more clarity I am attempting to store a logistic Regression model trained used statsmodels (sm.logit)
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不幸的是，Pickles 不能保证跨环境工作，至少 python 版本（可能还有操作系统）需要相同。这里有不匹配吗？
Pickles unfortunately aren't guaranteed to work across environments, at the very least the python version (and possibly OS) need to be identical. Is there a mismatch here?