One progress listener for each instance of model creation.
One progress listener for each instance of model creation. Each listener gets all events so this particular one
will respond only to the ones corresponding to a given RDD used for training (which should not be shared) and
to a particular job type (depending on the algorithm).
It might not be 100% accurate depending on how many "non primary" jobs will be run.
One progress listener for each instance of model creation. Each listener gets all events so this particular one will respond only to the ones corresponding to a given RDD used for training (which should not be shared) and to a particular job type (depending on the algorithm).
It might not be 100% accurate depending on how many "non primary" jobs will be run.