Re: How to implement unsupervised or reinforcement algorithm in new org.apache.spark.ml

Hi, There are no examples currently. For unsupervised learning, I think the pattern is straightforward. It would follow the pattern from supervised learning, but without the label input column and with a model having a different transform() behavior. Reinforcement learning might take a bit more

How to implement unsupervised or reinforcement algorithm in new org.apache.spark.ml

Hi, I'm redoing my PR about genetic algorithm in new org.apache.spark.ml architecture. Do we have already some code about handling unsupervised or reinforcement algorithm in new architecture? If no do we have some tickets on this matter? If no do we have