AI center: can"t "modify current deployment" for AI center

Hello Friend,

I’m trying to set a the MLSKILLS in UiPath AI center, but the “modify current deployment” is unavailable:

what could be the problem?

Thank you for your help


The status of it is still in deploying…that status should change to deployed that is when you can modify


Yes indeed, now when creating pipiline with only one dataset folder i have the attached log error messages!

" Train only of ImageClassificationMLV1 4.0 launched - Run 56e5c169-05c8-41fa-8abc-f2eaf099804f
Train only of ImageClassificationMLV1 4.0 started - Run 56e5c169-05c8-41fa-8abc-f2eaf099804f
Train only of ImageClassificationMLV1 4.0 scheduled - Run 56e5c169-05c8-41fa-8abc-f2eaf099804f
Train only of ImageClassificationMLV1 4.0 failed - Run 56e5c169-05c8-41fa-8abc-f2eaf099804f

Error Details : Pipeline failed due to ML Package Issue

2023-06-08 14:22:09,702 - UiPath_core.trainer_run:main:74 - INFO: Starting training job…
2023-06-08 14:22:10,334 - matplotlib:_get_config_or_cache_dir:484 - WARNING: Matplotlib created a temporary config/cache directory at /tmp/matplotlib-zec29vnc because the default path (/home/aicenter/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
2023-06-08 14:22:10,662 - matplotlib.font_manager:_load_fontmanager:1443 - INFO: generated new fontManager
2023-06-08 14:22:12,509 - - INFO: Dataset from bucket folder training-3d6cbce2-0b01-4ffe-b08f-735136917ef1/bbce3dfd-194f-46ce-84da-8c32920a4602/dfc9cc77-bafb-4303-a304-1359f78e9d53 with size 15 downloaded successfully
2023-06-08 14:22:12,509 - UiPath_core.training_plugin:train_model:130 - INFO: Start model training…
2023-06-08 14:22:12,509 - UiPath_core.training_plugin:initialize_model:124 - INFO: Start model initialization…
2023-06-08 14:22:12,546 - UiPath_core.training_plugin:initialize_model:127 - INFO: Model initialized successfully
2023-06-08 14:22:12,546 - UiPath_core.training_plugin:model_run:179 - ERROR: Training failed for pipeline type: TRAIN_ONLY, error: [Errno 2] No such file or directory: ‘/microservice/dataset/images’
2023-06-08 14:22:12,551 - UiPath_core.trainer_run:main:91 - ERROR: Training Job failed, error: [Errno 2] No such file or directory: ‘/microservice/dataset/images’
Traceback (most recent call last):
File “/home/aicenter/.local/lib/python3.8/site-packages/UiPath_core/”, line 86, in main
File “/microservice/”, line 57, in run
return self.training_plugin.model_run()
File “/home/aicenter/.local/lib/python3.8/site-packages/UiPath_core/”, line 195, in model_run
raise ex
File “/home/aicenter/.local/lib/python3.8/site-packages/UiPath_core/”, line 171, in model_run
File “/home/aicenter/.local/lib/python3.8/site-packages/UiPath_core/”, line 255, in run_train_only
File “/home/aicenter/.local/lib/python3.8/site-packages/UiPath_core/”, line 132, in train_model
response = self.model.train(directory)
File “/microservice/”, line 37, in train
File “/microservice/”, line 61, in process_data
self.df_train, self.df_test = preprocess.preprocess_data(self.opt)
File “”, line 11, in preprocess_data
File “”, line 31, in create_df_from_single_folder
FileNotFoundError: [Errno 2] No such file or directory: ‘/microservice/dataset/images’
2023-06-08 14:22:12,552 - UiPath_core.trainer_run:main:98 - INFO: Job run stopped.

=> Note that i had uploaded the dataset folder


Which Model you are using and you need to follow the dataset structure needed for the model…if its image classification then it needs separate image folder under main dataset…please correct