Resume previously stopped grid training.

Usage

h2o.resumeGrid(grid_id, recovery_dir = NULL, ...)

grid_id: ID of existing grid search
recovery_dir: When specified the grid and all necessary data (frames, models) will be saved to this directory (use HDFS or other distributed file-system). Should the cluster crash during training, the grid can be reloaded from this directory via h2o.loadGrid and training can be resumed
...: Additional parameters to modify the resumed Grid.