Does MLFlow help you? https://mlflow.org/
I don't know if ML flow can save arbitrary key-value pairs and associate them with a model, but versioning and evaluation etc are supported. Cheers, Sonal https://github.com/zinggAI/zingg On Wed, Oct 20, 2021 at 12:59 PM <mar...@wunderlich.com> wrote: > Hello, > > This is my first post to this list, so I hope I won't violate any > (un)written rules. > > I recently started working with SparkNLP for a larger project. SparkNLP in > turn is based Apache Spark's MLlib. One thing I found missing is the > ability to store custom parameters in a Spark pipeline. It seems only > certain pre-configured parameter values are allowed (e.g. "stages" for the > Pipeline class). > > IMHO, it would be handy to be able to store custom parameters, e.g. for > model versions or other meta-data, so that these parameters are stored with > a trained pipeline, for instance. This could also be used to include > evaluation results, such as accuracy, with trained ML models. > > (I also asked this on Stackoverflow, but didn't get a response, yet: > https://stackoverflow.com/questions/69627820/setting-custom-parameters-for-a-spark-mllib-pipeline > ) > > Would does the community think about this proposal? Has it been discussed > before perhaps? Any thoughts? > > Cheers, > > Martin >
