I'm new to databricks, and I'm trying to train yolo model and use mlflow to track the parameters and log the models. I keep getting this error related to the requirements.txt file path: INVALID_PARAMETER_VALUE: Invalid value '/Shared/YOLOv8/requirements.txt' for parameter: 'path'. Path must be relative.
I've tried to use the mlflow.log_artifact(requirements_path) with requirements_path being a relative path to the requirements.txt (/dbfs/FileStore/...), but it did not help. I'd appreciateany help to solve this problem. Thanks.
@Yosef Hdi :
The error message you received suggests that the path parameter in the log_artifact function call expects a relative path, rather than an absolute path. To fix this issue, you can try using a relative path to the requirements.txt file instead of an absolute path. Assuming that your requirements.txt file is located in the /Shared/YOLOv8 directory, you can try using the following code to log the requirements.txt file as an artifact using a relative path:
import os import mlflow # get the absolute path to the current working directory cwd = os.getcwd() # define the relative path to the requirements.txt file requirements_path = os.path.relpath('/dbfs/Shared/YOLOv8/requirements.txt', start=cwd) # log the requirements.txt file as an artifact mlflow.log_artifact(requirements_path)
In this code, os.getcwd() returns the absolute path to the current working directory. The os.path.relpath() function is then used to convert the absolute path to the requirements.txt file to a relative path based on the current working directory. Finally, mlflow.log_artifact() is called with the relative path to the requirements.txt file as the argument.
I hope this helps! Let me know if you have any other questions.
Hi @Yosef Hdi
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Thanks for the reply, @Suteja Kanuri . I tried the proposed solution. This time got this message:
Invalid artifact path: '/Shared/YOLOv8'. Names may be treated as files in certain cases, and must not resolve to other names when treated as such. This name would resolve to '/Shared/YOLOv8'
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