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Deploy custom R script as web service Azure ML Studio

由 ⅰ亾dé卋堺 提交于 2021-01-29 09:51:02
问题 I have an R script which takes as input an excel file with two columns containing dates-values and it gives as output 3 dates with the corresponding prediction values. I have already successfully implemented it in Azure Machine Learning Studio using three nodes. One containing the zipped packages I use, one with the input .csv file and the last one with the R script. The problem is when I deploy it as a web service and I try to give as input new values for Col1 and Col2, I receive the

Azure ML Studio ML Pipeline - Exception: No temp file found

由 天大地大妈咪最大 提交于 2021-01-29 08:15:59
问题 I've successfully run an ML Pipeline experiment and published the Azure ML Pipeline without issues. When I run the following directly after the successful run and publish (i.e. I'm running all cells using Jupyter), the test fails! interactive_auth = InteractiveLoginAuthentication() auth_header = interactive_auth.get_authentication_header() rest_endpoint = published_pipeline.endpoint response = requests.post(rest_endpoint, headers=auth_header, json={"ExperimentName": "***redacted***",

Execute Python Script Module Failing in Azure ML Studio

由 久未见 提交于 2020-03-23 08:58:21
问题 I'm using Execute Python Script module in Azure ML Studio and have written the most basic of code: import pandas as pd def azureml_main(dataframe1 = None, dataframe2 = None): dataframe1["Result"] = dataframe1["3MPurchNo"] * 3 return dataframe1, It fails with the following error: File "C:\server\XDRReader\xdrwriter3.py", line 190, in write_object raise NotImplementedError ('Python Bridge conversion table not implemented for type [{0}]'.format(value.getType())) NotImplementedError: Python

Execute Python Script Module Failing in Azure ML Studio

由 你。 提交于 2020-03-23 08:57:00
问题 I'm using Execute Python Script module in Azure ML Studio and have written the most basic of code: import pandas as pd def azureml_main(dataframe1 = None, dataframe2 = None): dataframe1["Result"] = dataframe1["3MPurchNo"] * 3 return dataframe1, It fails with the following error: File "C:\server\XDRReader\xdrwriter3.py", line 190, in write_object raise NotImplementedError ('Python Bridge conversion table not implemented for type [{0}]'.format(value.getType())) NotImplementedError: Python

How can certain python libraries be imported in azure ML?Like the line import humanfriendly gives error

由 淺唱寂寞╮ 提交于 2019-11-29 18:49:14
In execute python module. The line import humanfriendly gives error. How to fix this? Your description is not clear, I don't know what happended when you got error via import humanfriendly as you said. So I just can do for you that only post my steps about how to install humanfriendly Python package in Azure ML, as below. According to the section Technical Notes of the document "Execute Python Script", I download the humanfriendly package from here . I decompressed the package (the same for either .whl file or .tar.gz file), and package its humanfriendly directory as a zip file. Then I click

How can certain python libraries be imported in azure ML?Like the line import humanfriendly gives error

由 随声附和 提交于 2019-11-28 14:04:26
问题 In execute python module. The line import humanfriendly gives error. How to fix this? 回答1: Your description is not clear, I don't know what happended when you got error via import humanfriendly as you said. So I just can do for you that only post my steps about how to install humanfriendly Python package in Azure ML, as below. According to the section Technical Notes of the document "Execute Python Script", I download the humanfriendly package from here. I decompressed the package (the same
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