(A Markdown syntax reminder is available here: https://guides.github.com/features/mastering-markdown/)
Before creating a new issue, please make sure that:
If Ok, please give as many details as possible to help us solve the problem more efficiently.
Configuration
- Version of DeepDetect:
- Commit (shown by the server when starting):
Your question / the problem you're facing:
When I want to train a simple classification (dog_cat example), I face the following error:
resuming a model requires a .solverstate file in model repository
Error message (if any) / steps to reproduce the problem:
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.201] [dogs_cats] [info] selected solver: SGD
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.201] [dogs_cats] [info] solver flavor : rectified
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.201] [dogs_cats] [info] detected network type is classification
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.203] [dogs_cats] [error] resuming a model requires a .solverstate file in model repository
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.219] [dogs_cats] [error] training status call failed: Dynamic exception type: dd::MLLibBadParamException
4c01f52c6171_cpu_deepdetect_1 | std::exception::what: resuming a model requires a .solverstate file in model repository
4c01f52c6171_cpu_deepdetect_1 |
4c01f52c6171_cpu_deepdetect_1 | [2021-09-26 13:15:41.220] [api] [error] {"code":400,"msg":"BadRequest","dd_code":1006,"dd_msg":"Service Bad Request Error: resuming a model requires a .solverstate file in model repository"}
(A Markdown syntax reminder is available here: https://guides.github.com/features/mastering-markdown/)
Before creating a new issue, please make sure that:
If Ok, please give as many details as possible to help us solve the problem more efficiently.
Configuration
Your question / the problem you're facing:
When I want to train a simple classification (dog_cat example), I face the following error:
Error message (if any) / steps to reproduce the problem:
list of API calls:
as shown in the sample.
Server log output: