azure-machine-learning-workbench

How do you use pyodbc in Azure Machine Learning Workbench

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-11 06:09:18
问题 I'm trying to use pyodbc to import a dataframe in Azure ML Workbench. This works in local runs, but not for docker. It fails when trying to establish a connection to the SQL Server, because the driver is not present. cnxn = pyodbc.connect('DRIVER='{ODBC Driver 13 for SQL Server}';PORT=1433;SERVER='+server+';PORT=1443;DATABASE='+database+';UID='+username+';PWD='+ password) Error Message: pyodbc.Error: ('01000', "[01000] [unixODBC][Driver Manager]Can't open lib 'ODBC Driver 13 for SQL Server' :

Difference between Azure ML and Azure ML experimentation

余生颓废 提交于 2019-12-04 04:20:18
问题 I am new to Azure ML. I am having some doubts .Could anyone please clarify my doubts listed below. What is the difference between Azure ML service Azure ML experimentation service. What is the difference between Azure ML workbench and Azure ML Studio. I want to use azure ML Experimentation service for building few models and creating web API's. Is it possible to do the same with ML studio. And also ML Experimentation service requires me to have a docker for windows installed for creating web

Difference between Azure ML and Azure ML experimentation

和自甴很熟 提交于 2019-12-01 20:40:59
I am new to Azure ML. I am having some doubts .Could anyone please clarify my doubts listed below. What is the difference between Azure ML service Azure ML experimentation service. What is the difference between Azure ML workbench and Azure ML Studio. I want to use azure ML Experimentation service for building few models and creating web API's. Is it possible to do the same with ML studio. And also ML Experimentation service requires me to have a docker for windows installed for creating web services. Can i create web services without using docker? The AML Experimentation is one of our many