Azure数据工厂编辑资源error_3 [英] Azure data factory edit resource error_3
问题描述
I created two web services (Traning and predictive to use API's in the data factory.
memory_train
memory_train
memory_train [Predictive_Exp.]
memory_train [Predictive_Exp.]
在数据工厂中，我创建了ML批处理执行，然后创建了ML Update Resource1.我在数据工厂模块中使用了以下API和i/ps.
In data factory, I created ML Batch execution followed by ML Update Resource1. I used following API's and i/ps for my Data factory blocks.
ML批处理执行
我创建了一个链接服务，可以访问我训练有素的模型的API和密钥
I created a linked service that access API and key of my trained model
我在Blob存储帐户中创建了i/p和o/ps.
I created i/p and o/ps in a blob storage account.
运行之后，.ilearner文件存储在我的Blob中
After this is a run , .ilearner file is stored in my blob
ML更新资源1:
我在我的memory_train [Predictive_Exp.]端点中创建了补丁端点
I created patch endpoint in my memory_train [Predictive_Exp.] end point
我创建了第二个使用补丁程序端点或批处理API的链接服务，并在链接服务中键入密钥，为了更新资源端点，我再次使用了补丁程序端点API.
I created second linked service that uses patch end point or batch API and key in linked service, for update Resource end point, I used patch endpoint API again.
我尝试将用于先生第二个链接服务的多个API的默认和补丁切换为无，它们都无法更新我的预测模型
I tried to switch several API's for mr second linked service from default and patch, none of them could update my predictive model
我在此数据工厂块中收到以下错误，如果我有任何错误，您能建议我吗?
I get the following error for this Data factory block, can you suggest me if I am doing any mistakes
活动ML Update Resource1失败:UpdateResource失败，并出现错误:{错误":{代码":"EditableResourcesNotAvailable"，消息":指定的资源不存在或不可编辑.有效资源 名称:memory_train [训练模型]. }.诊断详细信息:作业ID 011f3f75-8065-4835-bef5-143e7ae22111.
Activity ML Update Resource1 failed: UpdateResource has failed with error: { "error": { "code": "EditableResourcesNotAvailable", "message": "The specified resources do not exist or are not editable. Valid resource names: memory_train [trained model]." } }. Diagnostic details: job ID 011f3f75-8065-4835-bef5-143e7ae22111.
推荐答案
我创建了两个Web服务("g class =" gr_ gr_16 gr-alert gr_gramm gr_inline_cards gr_run_anim Style multiReplace" data-gr-id ="16" id ="16" usenbsp的交易和预测) ；在</g>数据工厂中.
I created two web services (Traning and predictive to <g class="gr_ gr_16 gr-alert gr_gramm gr_inline_cards gr_run_anim Style multiReplace" data-gr-id="16" id="16">use in</g> the data factory.
memory_train
memory_train
memory_train [Predictive_Exp.]
memory_train [Predictive_Exp.]
在< g class =" gr_ gr_15 gr-alert gr_gramm gr_inline_cards gr_run_anim语法仅在double中替换replaceWithoutSep data-gr-id ＝"15". id ＝"15"数据data/g.工厂，我创建了ML批处理执行，然后进行了ML更新 资源1.我使用了< g class =" gr_ gr_31 gr-alert gr_gramm gr_inline_cards gr_run_anim语法multiReplace" data-gr-id ＝"31". id ="31" API的/g.和我的数据工厂数据块的i/ps.
In <g class="gr_ gr_15 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" data-gr-id="15" id="15">data</g> factory, I created ML Batch execution followed by ML Update Resource1. I used following <g class="gr_ gr_31 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar multiReplace" data-gr-id="31" id="31">API's</g> and i/ps for my Data factory blocks.
ML批处理执行
我创建了链接的< g class ="gr_ gr_246 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling" data-gr-id ＝"246". id ="246">服务/g.那< g class =" gr_ gr_245 gr-alert gr_gramm gr_inline_cards gr_run_anim语法multiReplace"data-gr-id ＝"245". id ="245"> access/g.我训练有素的模型的API和密钥
I created a linked <g class="gr_ gr_246 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling" data-gr-id="246" id="246">service</g> that <g class="gr_ gr_245 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar multiReplace" data-gr-id="245" id="245">access</g> API and key of my trained model
我在Blob存储帐户中创建了i/p和o/ps.
I created i/p and o/ps in a blob storage account.
这是< g class ="gr_gr_342 gr-alert gr_gramm gr_inline_cards gr_run_anim样式multiReplace" data-gr-id ＝"342". id ="342">运行，</g>< g class =" gr_ gr_345 gr-alert gr_gramm gr_inline_cards gr_run_anim 语法仅存的doubleReplace replaceWithoutSep data-gr-id ="345" id ="345">.ilearner//nbsp;文件存储在我的< g class ="gr_gr_385 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del data-gr-id ＝"385". id ="385"> blob</g>
After this is a <g class="gr_ gr_342 gr-alert gr_gramm gr_inline_cards gr_run_anim Style multiReplace" data-gr-id="342" id="342">run ,</g> <g class="gr_ gr_345 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" data-gr-id="345" id="345">.ilearner</g> file is stored in my <g class="gr_ gr_385 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del" data-gr-id="385" id="385">blob</g>
ML更新资源1:
我在我的memory_train [Predictive_Exp.]< g class ="gr_gr_562 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del"中创建了补丁端点. data-gr-id ＝"562". id ="562">端点
I created patch endpoint in my memory_train [Predictive_Exp.] <g class="gr_ gr_562 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del" data-gr-id="562" id="562">end point</g>
我创建了第二个链接服务，该服务使用了补丁程序
I created second linked service that uses patch <g class="gr_ gr_577 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del" data-gr-id="577" id="577">end point</g> API and key in linked service, for update Resource <g class="gr_ gr_635 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del" data-gr-id="635" id="635">end point</g>, I used patch endpoint API again.
我尝试为
I tried to switch several API's for <g class="gr_ gr_755 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" data-gr-id="755" id="755">mr</g> second linked service from default and patch, none of them could update my predictive model
此Data factory块出现以下错误，如果我有任何错误，您能建议我吗?
I get the following error for this Data factory block, can you suggest me if I am doing any mistakes
活动ML Update Resource1失败:UpdateResource失败，并出现错误:{错误": {代码":"EditableResourcesNotAvailable"，消息": 指定的资源不存在或不可编辑.有效资源名称:memory_train [训练模型]. }.诊断详细信息:作业ID 011f3f75-8065-4835-bef5-143e7ae22111.端点https://management.azureml.net/workspaces/324b91422294411f9fa65d624cdd507c/webservices/88c2f89a72f14a539d529a319598f5aa/endpoints/patch.
Activity ML Update Resource1 failed: UpdateResource has failed with error: { "error": { "code": "EditableResourcesNotAvailable", "message": "The specified resources do not exist or are not editable. Valid resource names: memory_train [trained model]." } }. Diagnostic details: job ID 011f3f75-8065-4835-bef5-143e7ae22111. Endpoint https://management.azureml.net/workspaces/324b91422294411f9fa65d624cdd507c/webservices/88c2f89a72f14a539d529a319598f5aa/endpoints/patch.
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