Cut-Off using Frequent Pattern Mining - Spark Mllib
Like @SeanOwen pointed out its called support. 

spark.mllib’s FP-growth implementation takes it as a hyper-parameter under minSupport.

It is the minimum support for an itemset to be identified as frequent, e.g : if an item appears 4 out of 5 transactions, it has a support of 4/5=0.8.

Usage:

import org.apache.spark.mllib.fpm.FPGrowth

val transactions: RDD[Array[String]] = ???

val fpg = new FPGrowth().setMinSupport(0.2)

val model = fpg.run(transactions)


I hope this helps.