Patient Risk Score based on health history: Unable to create data folder for artifacts in S3 bucket

SreeRam — Wed, 29 Jan 2025 17:23:35 GMT

Hi All,

we're using the below git project to build PoC on the concept of "Patient-Level Risk Scoring Based on Condition History": https://github.com/databricks-industry-solutions/hls-patient-risk

I was able to import the solution into Databricks and run the first module "01-data-prep.py" successfully.

I'm getting the below error in "02-automl-best-model.py" at code line "

input_data_path = mlflow.artifacts.download_artifacts(":
"Error downloading or reading artifact: The following failures occurred while downloading one or more artifacts from dbfs:/databricks/mlflow-tracking/dc37a79d57c343e5b875fda7c812586d/72f4739209ff437eaea4c1a4041a570a/artifacts".

Upon further research, I've found that process is not able to create the folder "data" in s3 bucket. Can you please provide any insights on why it is not able to create the folder "data" under "artifacts" folder as in below link:
"https://databricks-workspace-stack-c416f-bucket.s3.ap-southeast-1.amazonaws.com/singapore-prod/2742639904931973.jobs/mlflow-tracking/dc37a79d57c343e5b875fda7c812586d/72f4739209ff437eaea4c1a4041a570a/artifacts/data"

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Patient Risk Score based on health history: Unable to create data folder for artifacts in S3 bucket