topic Re: How to fix the error on INVALID_PARAMETER_VALUE when using mlflow for tracking a yolo model training? in Data Engineering

How to fix the error on INVALID_PARAMETER_VALUE when using mlflow for tracking a yolo model training?

Joey — Tue, 25 Apr 2023 22:07:23 GMT

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.

Re: How to fix the error on INVALID_PARAMETER_VALUE when using mlflow for tracking a yolo model training?

Anonymous — Thu, 27 Apr 2023 04:54:08 GMT

@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.

Re: How to fix the error on INVALID_PARAMETER_VALUE when using mlflow for tracking a yolo model training?

Anonymous — Tue, 02 May 2023 06:37:21 GMT

Hi @Yosef Hdi

Thank you for posting your question in our community! We are happy to assist you.

To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your question?

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Re: How to fix the error on INVALID_PARAMETER_VALUE when using mlflow for tracking a yolo model training?

Joey — Wed, 03 May 2023 21:08:56 GMT

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'

Thanks.