Choosing between Storm+Trident-ML, Storm+SAMOA or Spark Streaming+MLlib
If I were you, I would pick anyone of the frameworks I am comfortable with and implement the use-case. 
Spark-Streaming + MLlib should work and would be my choice since its user base is on the rise and it is one of the most popular project under the Apache Umbrella with good enterprise business plan. Both Cloudera and Hortonworks provide enterprise level support. 
Now, in theory Spark-Streaming lacks behind Storm in stream processing, but the framework is cool in a way that it provides you the option to do streaming, common map and reduce, graph processing and SQL under the same framework. So once you have the pipeline to convert your data to RDD you are good for most of the common jobs related to Data Analysis. It's written from scratch in Scala which is a very powerful language and provides huge scalability in a distributed setup when handling concurrency. 
Hope this helps, feel free to reach out to me with any questions you have.