Required. Fraction of average YARN pending memory in the last
cooldown period for which to add workers. A scale-up factor of
1.0 will result in scaling up so that there is no pending
memory remaining after the update (more aggressive scaling). A
scale-up factor closer to 0 will result in a smaller magnitude
of scaling up (less aggressive scaling). See How autoscaling
works
<https://cloud.google.com/dataproc/docs/concepts/configuring-
clusters/autoscaling#how_autoscaling_works>__ for more
information. Bounds: [0.0, 1.0].
Optional. Minimum scale-up threshold as a fraction of total
cluster size before scaling occurs. For example, in a
20-worker cluster, a threshold of 0.1 means the autoscaler
must recommend at least a 2-worker scale-up for the cluster to
scale. A threshold of 0 means the autoscaler will scale up on
any recommended change. Bounds: [0.0, 1.0]. Default: 0.0.
