ActionML is a direct contributor to the Apache PredictionIO project. The current stable release is {{> pioversion}} Install from here
This is the last version to use the old Java namespace io.prediciton. If your template needs this version install it from here.
The most important new feature in ActionML's version of PredictionIO v0.9.6 is the SelfCleaningDataSource
. This allows any template to specify an age for events. When events get too old they are removed permanently from the EventServer. It also allows a template to de-duplicate events, and to compact $set/$unset property change events.
The SelfCleaningDataSource
must be added to a template with a very simple code change and has already been added to the Universal Recommender template. To add this feature to any template simple inherit SelfCleaningDataSource
from your DataSource as is done in the UR here.
Find the DataSource class in your template code and add the with
clause and the logger
, appName
and eventWindow
like this:
class DataSource(val dsp: DataSourceParams)
extends PDataSource[TrainingData, EmptyEvaluationInfo, Query, EmptyActualResult]
//======= copy from here ===========
with SelfCleaningDataSource {
@transient override lazy val logger = Logger[this.type]
override def appName = dsp.appName
override def eventWindow = dsp.eventWindow
//======= to here ===========
...
}
To use the newly extended DataSource
simply add parameters to the engine.json described below and make this call:
def readTraining(sc: SparkContext): TrainingData = {
// add this line to clean PEvents
cleanPersistedPEvents(sc)
before you access PEvents. Note: Be aware that the old aged out events are permanently removed from the DataSource so keep a backup if you are experimenting.
Then configure the DataSource operation in engine.json as follows:
"datasource": {
"params" : {
"name": "some-name",
"appName": "some-app-name",
"eventNames": ["purchase", "view"],
"eventWindow": {
"duration": "3650 days",
"removeDuplicates": false,
"compressProperties": false
}
}
}
- eventWindow: This is optional and controls how much of the data in the EventServer to keep and how to compress events. The default it to not have a time window and do no compression. This will compact and drop old events from the EventServer permanently in the persisted data—so make sure to have some other archive of events it you are playing with the
timeWindow: duration:
.- duration: This is parsed for "days", "hours", and "minutes" and becomes a Scala
Duration
object defining the time from now backward to the point where older events will be dropped. $set property change events are never dropped. Default is to never drop events. - removeDuplicates a boolean telling the DataSource to de-duplicate events, defaults to
false
. - compressProperties: a boolean telling the Datasource to compress property change events into one event expressing the current state of all properties, defaults to
false
.
- duration: This is parsed for "days", "hours", and "minutes" and becomes a Scala