dotnet spark for training ml models

[chiar11]

For my ML project I need a word2vec model combined to a multiclassification model. I found the implementation of word2vec model in Microsoft.Spark very useful with good performance. But, when I have to implement the classification model I have to use LightGBM of ML.net. I found different examples where methods of ML.net are used to provide predictions creating a spark session (see for example this tutorial https://docs.microsoft.com/en-us/dotnet/spark/tutorials/ml-sentiment-analysis). My question is, is it possible also to train the LightGBM model using the engine of Spark?