本文介绍了ValueError:没有提供workspace_id,并且无法通过配置使用的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

请帮助我!!! 此数据

从azureml导入工作区
ws = Workspace()
实验= ws.experiments ['bc32e2d9f65c4ebe87ac31b546de0832.f-id.8b526115007848868251c64c0dbebe6a']
ds = Experiment.get_intermediate_dataset(
    node_id ='e99badf1-4d8c-4705-9689-27df305c59bd-319',
    port_name ='结果数据集',
    data_type_id ='GenericCSV'
)
frame = ds.to_dataframe()

框架

当我运行jupyter时,出现这些错误-------------------------------------------------- -------------------------
ValueError                               追溯(最近一次拨打电话)
< ipython-input-1-e28ce80af30f>在< module>()
中      azureml导入工作区中的1个
----> 2 ws = Workspace()
      3个实验= ws.experiments ['bc32e2d9f65c4ebe87ac31b546de0832.f-id.8b526115007848868251c64c0dbebe6a']
      4 ds = Experiment.get_intermediate_dataset(
      5      node_id ='e99badf1-4d8c-4705-9689-27df305c59bd-319',

/home/nbuser/anaconda3_23/lib/python3.4/site-packages/azureml/__init__.py in __init __(自身,workspace_id,authorization_token,端点)
    883          endpoint = https://studio.azureml.net
    884         ""
-> 885          workspace_id,authorization_token,端点,management_endpoint = _get_workspace_info(workspace_id,authorization_token,端点,无)
    886 
    887          _not_none_or_empty('workspace_id',workspace_id)

_get_workspace_info中的/home/nbuser/anaconda3_23/lib/python3.4/site-packages/azureml/__init__.py(workspace_id、authorization_token,端点,management_endpoint)
    849 
    850         如果workspace_id为None:
-> 851              raise ValueError('workspace_id未提供,并且无法通过config'获得)
    852         如果authorization_token为None:
    853              raise ValueError('authorization_token未提供,并且无法通过配置获得')

ValueError:没有提供workspace_id,并且无法通过配置使用

解决方案


Help me please !!!  this data 

from azureml import Workspace
ws = Workspace()
experiment = ws.experiments['bc32e2d9f65c4ebe87ac31b546de0832.f-id.8b526115007848868251c64c0dbebe6a']
ds = experiment.get_intermediate_dataset(
    node_id='e99badf1-4d8c-4705-9689-27df305c59bd-319',
    port_name='Results dataset',
    data_type_id='GenericCSV'
)
frame = ds.to_dataframe()

frame

when i run jupyter , I get these errors  

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-e28ce80af30f> in <module>()
      1 from azureml import Workspace
----> 2 ws = Workspace()
      3 experiment = ws.experiments['bc32e2d9f65c4ebe87ac31b546de0832.f-id.8b526115007848868251c64c0dbebe6a']
      4 ds = experiment.get_intermediate_dataset(
      5     node_id='e99badf1-4d8c-4705-9689-27df305c59bd-319',

/home/nbuser/anaconda3_23/lib/python3.4/site-packages/azureml/__init__.py in __init__(self, workspace_id, authorization_token, endpoint)
    883         endpoint = https://studio.azureml.net
    884         """
--> 885         workspace_id, authorization_token, endpoint, management_endpoint = _get_workspace_info(workspace_id, authorization_token, endpoint, None)
    886 
    887         _not_none_or_empty('workspace_id', workspace_id)

/home/nbuser/anaconda3_23/lib/python3.4/site-packages/azureml/__init__.py in _get_workspace_info(workspace_id, authorization_token, endpoint, management_endpoint)
    849 
    850         if workspace_id is None:
--> 851             raise ValueError('workspace_id not provided and not available via config')
    852         if authorization_token is None:
    853             raise ValueError('authorization_token not provided and not available via config')

ValueError: workspace_id not provided and not available via config
解决方案


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11-01 14:28