grzegorz-karas

For a [pyspark.ml.Pipeline](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.Pipeline.html?highlight=pipeline#pyspark.ml.Pipeline) where all stages were java stages (estimators and transformers that come from the spark [MLlib library](https://spark.apache.org/docs/latest/api/python/reference/pyspark.ml.html)) the model could be saved and read without problems. WORKS: ```...

@yossibiton I got similar problem. I solved it by creating the experiment without the optional "Artifact Location" and then I updated the `meta.yaml` file of the experiment from: ``` artifact_location:...