AncaSarb

@WeichenXu123 @realknorke sorry, we had run out of credits for travis CI, can you please push a dummy commit to trigger the build now? will merge it once it's green.

I believe that Spark 2.4.x is using Java 8, so once Spark 3 is released, we can take a look at upgrading mleap as well.

Hey @FredYao, no there's no direct support for the deep learning transformers under spark-deep-learning, but mleap does support tensorflow/keras if that is what you're looking after. I'm happy to review...

There are some TF examples in our unit tests https://github.com/combust/mleap/tree/master/mleap-tensorflow/src/test/scala/ml/combust/mleap/tensorflow. Please let me know if you have any questions.

Hey @gillbuchanan, Thanks for the question, it is indeed true as Luca said that the UUID for transformers needs to be unique, or else you run into serialization issues as...

@teichmaj taking a look, will keep you posted.

@qspeng can you try ```"type": { "type": "tensor", "base": "double", "dimensions": [ 132 ], "indices": [....] // I think this is the part that you're missing } ``` Let me...

To deserialize a bundle to a Spark pipeline you can do ``` from pyspark.ml import PipelineModel sparkPipelineLr = PipelineModel.deserializeFromBundle("jar:file:/tmp/airbnb_demo.lr.zip") ``` If you're looking for mleap scoring (using the mleap-runtime maven...

The one important thing I would like to mention is that you could serialize your pipeline with pyspark and you can use the mleap-runtime in scala to execute the pipeline,...

@hollinwilkins I'm going to start working on adding support for ALS, let me know if you have any thoughts/concerns about this.