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    • M
      magenta.kabuto last edited by magenta.kabuto

      Hi @support ,
      I hope you are fine.
      I reconfigured a model, which now is relatively simple as the dimensions have been reduced significantly.
      Despite this I am unable to submit the model and encounter the following errorvduring the precheck:
      Bildschirmfoto 2024-04-10 um 00.46.41.png

      Is this a runtime error?

      Thx a lot.
      Regards

      M 1 Reply Last reply Reply Quote 0
      • M
        magenta.kabuto @magenta.kabuto last edited by

        And while submission I got the: strategy does not compile error for even as few as 15-20 epochs (I assume the error is because of this )
        THis is in my local environment, as you can see the time taken to train the model per epoch is very little:
        Bildschirmfoto 2024-04-10 um 01.04.54.png

        Thank you

        support 1 Reply Last reply Reply Quote 0
        • support
          support @magenta.kabuto last edited by

          @magenta-kabuto Dear @magenta-kabuto,
          Can you please provide the submission id for your strategy?
          Regards

          M 1 Reply Last reply Reply Quote 0
          • M
            magenta.kabuto @support last edited by

            Hello @support ,
            16791126.
            Thank you.
            Regards

            support 1 Reply Last reply Reply Quote 0
            • support
              support @magenta.kabuto last edited by

              @magenta-kabuto Dear magenta-kabuto,
              It looks like your strategy exceeded timeout while the model was still training. Please, check how you train your model and also try running your strategy in an online environment to check if there was some problem with misconfiguration when switching from your local to online environment.
              Regards

              M 2 Replies Last reply Reply Quote 0
              • M
                magenta.kabuto @support last edited by

                @support alright, thank you very much.
                I will check on Google Colab, hopefully I can figure out the mistake, otherwise I will be back 🙂
                Regards

                1 Reply Last reply Reply Quote 0
                • M
                  magenta.kabuto @support last edited by

                  Hello @support,
                  I checked the strategy and refined it.
                  When it is run in the online environment there is no issue but when I precheck, the issue exceeded 1800 seconds for a cell arises, which should be obvious as when I backtest the strategy from 2006, it should take longer than this.
                  Now that I submitted it, it has been filtered without any error and there is no failed logs, could you pls have a look: # 16818788 .thank you.
                  Regards

                  M 1 Reply Last reply Reply Quote 0
                  • M
                    magenta.kabuto @magenta.kabuto last edited by

                    Hi @support ,
                    are there any updates on the previously mentioned issue? I am aware that as the deadline is close, the systems are backtesting slowly, however I am unable to figure out what the issue is .
                    Thank you
                    Regards

                    support 1 Reply Last reply Reply Quote 0
                    • support
                      support @magenta.kabuto last edited by

                      @magenta-kabuto Sorry for the delay, is the issue solved? We can see that you successfully submitted code to the Q21 contest!

                      M 1 Reply Last reply Reply Quote 0
                      • M
                        magenta.kabuto @support last edited by

                        Hi @support,
                        no problem.
                        I didnt check until now, the accepted strategies do not use machine learning 🙂
                        I will try out some machine learning strategies in the upcoming days and let you know.
                        Thanks again and Regards

                        1 Reply Last reply Reply Quote 0
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