predictive autoscaling ga (#4789) (#522)

Signed-off-by: Modular Magician <magic-modules@google.com>

docs/resources/google_compute_autoscaler.md

@@ -77,7 +77,7 @@ Properties that can be accessed from the `google_compute_autoscaler` resource:
 
       * `utilization_target`: The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.  If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.  If the average CPU is above the target utilization, the autoscaler scales up until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.
 
-      * `predictive_method`: (Beta only) Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are:  - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.  - OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
+      * `predictive_method`: Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are:  - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.  - OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
 
     * `custom_metric_utilizations`: Configuration parameters of autoscaling based on a custom metric.