getting a 403 response with Google AutoML vision Python API despite having assigned right Service Account












0















I have trained a model using google cloud AutoML Vision API, however when I specifically try to obtain the model performance metrics via the Python package I keep getting a 403 response: 



PermissionDenied: 403 Permission 'automl.modelEvaluations.list' denied on resource 'projects/MY_BUCKET_ID/locations/us-central1/models/MY_MODEL_ID' (or it may not exist).


I am using the python code as layed out in the documentation and also not having any unauthorised ops with the other operations (Create Dataset, Train Model), so really struggling to understand why is this the case. Here is the code:



# Get the full path of the model.

model_full_id = client.model_path(project_id, compute_region, model_id)

print(model_full_id)



# List all the model evaluations in the model by applying filter.

response = client.list_model_evaluations(model_full_id, filter_)


Thanks for your help






python google-cloud-automl







share|improve this question



























    0















    I have trained a model using google cloud AutoML Vision API, however when I specifically try to obtain the model performance metrics via the Python package I keep getting a 403 response: 



    PermissionDenied: 403 Permission 'automl.modelEvaluations.list' denied on resource 'projects/MY_BUCKET_ID/locations/us-central1/models/MY_MODEL_ID' (or it may not exist).


    I am using the python code as layed out in the documentation and also not having any unauthorised ops with the other operations (Create Dataset, Train Model), so really struggling to understand why is this the case. Here is the code:



    # Get the full path of the model.
    
model_full_id = client.model_path(project_id, compute_region, model_id)
    
print(model_full_id)
    

    
# List all the model evaluations in the model by applying filter.
    
response = client.list_model_evaluations(model_full_id, filter_)


    Thanks for your help






    python google-cloud-automl







    share|improve this question

























      0












      0








      0








      I have trained a model using google cloud AutoML Vision API, however when I specifically try to obtain the model performance metrics via the Python package I keep getting a 403 response: 



      PermissionDenied: 403 Permission 'automl.modelEvaluations.list' denied on resource 'projects/MY_BUCKET_ID/locations/us-central1/models/MY_MODEL_ID' (or it may not exist).


      I am using the python code as layed out in the documentation and also not having any unauthorised ops with the other operations (Create Dataset, Train Model), so really struggling to understand why is this the case. Here is the code:



      # Get the full path of the model.
      
model_full_id = client.model_path(project_id, compute_region, model_id)
      
print(model_full_id)
      

      
# List all the model evaluations in the model by applying filter.
      
response = client.list_model_evaluations(model_full_id, filter_)


      Thanks for your help






      python google-cloud-automl







      share|improve this question














      I have trained a model using google cloud AutoML Vision API, however when I specifically try to obtain the model performance metrics via the Python package I keep getting a 403 response: 



      PermissionDenied: 403 Permission 'automl.modelEvaluations.list' denied on resource 'projects/MY_BUCKET_ID/locations/us-central1/models/MY_MODEL_ID' (or it may not exist).


      I am using the python code as layed out in the documentation and also not having any unauthorised ops with the other operations (Create Dataset, Train Model), so really struggling to understand why is this the case. Here is the code:



      # Get the full path of the model.
      
model_full_id = client.model_path(project_id, compute_region, model_id)
      
print(model_full_id)
      

      
# List all the model evaluations in the model by applying filter.
      
response = client.list_model_evaluations(model_full_id, filter_)


      Thanks for your help






      python google-cloud-automl




      python google-cloud-automl






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 15 '18 at 15:35









      Daniel VieiraDaniel Vieira

      1136




      1136
























          1 Answer
          1






          active

          oldest

          votes


















          1














          After a few tests I found the problem. When calling out the model details you need to use model_id and not model_name, whereas in the previous API calls in the documentation the model_name was the identifier to use.



          model_full_id = client.model_path(project_id, compute_region, model_id)


          This fixed the issue.






          share|improve this answer























            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            autoActivateHeartbeat: false,
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });














            draft saved

            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53322840%2fgetting-a-403-response-with-google-automl-vision-python-api-despite-having-assig%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            After a few tests I found the problem. When calling out the model details you need to use model_id and not model_name, whereas in the previous API calls in the documentation the model_name was the identifier to use.



            model_full_id = client.model_path(project_id, compute_region, model_id)


            This fixed the issue.






            share|improve this answer




























              1














              After a few tests I found the problem. When calling out the model details you need to use model_id and not model_name, whereas in the previous API calls in the documentation the model_name was the identifier to use.



              model_full_id = client.model_path(project_id, compute_region, model_id)


              This fixed the issue.






              share|improve this answer


























                1












                1








                1







                After a few tests I found the problem. When calling out the model details you need to use model_id and not model_name, whereas in the previous API calls in the documentation the model_name was the identifier to use.



                model_full_id = client.model_path(project_id, compute_region, model_id)


                This fixed the issue.






                share|improve this answer













                After a few tests I found the problem. When calling out the model details you need to use model_id and not model_name, whereas in the previous API calls in the documentation the model_name was the identifier to use.



                model_full_id = client.model_path(project_id, compute_region, model_id)


                This fixed the issue.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 16 '18 at 17:54









                Daniel VieiraDaniel Vieira

                1136




                1136






























                    draft saved

                    draft discarded




















































                    Thanks for contributing an answer to Stack Overflow!


                    • Please be sure to answer the question. Provide details and share your research!

                    But avoid …



                    • Asking for help, clarification, or responding to other answers.

                    • Making statements based on opinion; back them up with references or personal experience.


                    To learn more, see our tips on writing great answers.




                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53322840%2fgetting-a-403-response-with-google-automl-vision-python-api-despite-having-assig%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    -

                    這個網誌中的熱門文章

                    Xamarin.form Move up view when keyboard appear

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 0 I'm trying to build a Chat app UI, the idea of the Layout was pretty simple: When the input bar is focused, keyboard show up and "push" up the chat bar, as it's a grid, the ListView will resize to fit the screen: I update the input bar's margin to "push" it up: NSValue result = (NSValue)args.Notification.UserInfo.ObjectForKey(new NSString(UIKeyboard.FrameEndUserInfoKey)); CGSize keyboardSize = result.RectangleFValue.Size; if (Element != null){ Element.Margin = new Thickness(0, 0, 0,keyboardSize.Height); //push the entry up to keyboard height when keyboard is activated } And this is ...
                    閱讀完整內容

                    Post-Redirect-Get with Spring WebFlux and Thymeleaf

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 2 Can someone explain to me how to implement the post-redirect-get pattern in Spring WebFlux and Thymeleaf? What subscribes on the database save method? @GetMapping("/register") public String showRegisterForm(Model model) { model.addAttribute("user", new User()); return "register"; } @PostMapping public String processRegisterForm(@Valid User user, BindingResult bindingResult) { if (bindingResult.hasErrors()) { return "register"; } else { userRepository.save(user); //what subscribes on this? //how to redirect on e.g. "/login"? ...
                    閱讀完整內容

                    Anylogic : not able to use stopDelay()

                    圖片
                    -2 I am building a railway station model. I want a train to depart when I click a button. I want to call stopDelay() for that but I am not sure how to do that and from which place. anylogic share | improve this question asked Nov 23 '18 at 10:12 Anupam Singh Anupam Singh 1 Hi Anupam, welcome to SOF. Please check how to ask good questions, see link below. Your question is...
                    閱讀完整內容