Write to artifacts to a folder from a pyspark job - Access issue

[skandagn]

Hi, I am trying to write a pySpark.ml model (Pipeline model) from a pyspark recipe to a folder located in Server's filesystem storage and I am getting access denied error. How can I write to a folder from a pyspark recipe. 

pipeline = Pipeline(stages=[<listofencoders>])

# Fit and transform the data using the pipeline
pipeline_model = pipeline.fit(data)

pipeline_model.save(dataiku.Folder("model").get_path() + "/model")

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Operating system used: Linux

[Turribeach]

Hi, you can't write to Dataiku folders directly like that. You need to use the upload_stream() method:

https://knowledge.dataiku.com/latest/code/managed-folders/concept-managed-folders.html