Hi, I am trying to figure out the API to initialize a gaussian mixture model using either centroids created by K-means or previously calculated GMM model (I am aware that you can "save" a model and "load" in later but I am not interested in saving a model to a filesystem).
The Spark MLlib API lets you do this using SetInitialModel https://spark.apache.org/docs/2.1.0/api/scala/index.html#org.apache.spark.mllib.clustering.GaussianMixture However, I cannot figure out how to do this using Spark ML API. Can anyone please point me in the right direction? I've tried reading the Spark ML code and was wondering if the "set" call lets you do that? -- Thanks, Tim
