engine.json.spark-tuning

{
  "comment":" This config file uses default settings for all but the required values see README.md for docs",
  "id": "default",
  "description": "Default settings",
  "engineFactory": "com.actionml.RecommendationEngine",
  "datasource": {
    "params" : {
      "name": "sample-handmade-data.txt",
      "appName": "handmade",
      "eventNames": ["purchase", "view"]
    }
  },
  "sparkConf": {
    "spark.serializer": "org.apache.spark.serializer.KryoSerializer",
    "spark.kryo.registrator": "org.apache.mahout.sparkbindings.io.MahoutKryoRegistrator",
    "spark.kryo.referenceTracking": "false",
    "spark.kryoserializer.buffer": "300m",
    "spark.executor.memory": "4g",
    "spark.executor.cores": "2",
    "spark.task.cpus": "2",
    "spark.default.parallelism": "16",
    "es.index.auto.create": "true"
  },
  "algorithms": [
    {
      "comment": "simplest setup where all values are default, popularity based backfill, must add eventsNames",
      "name": "ur",
      "params": {
        "appName": "handmade",
        "indexName": "urindex",
        "typeName": "items",
        "comment": "must have data for the first event or the model will not build, other events are optional",
        "eventNames": ["purchase", "view"]
      }
    }
  ]
}