`earth2studio.run`.deterministic#

earth2studio.run.deterministic(time, nsteps, prognostic, data, io, output_coords={}, device=None)[source]#

Built in deterministic workflow. This workflow creates a determinstic inference pipeline to produce a forecast prediction using a prognostic model.

Parameters:

time (list[str] | list[datetime] | list[np.datetime64]) – List of string, datetimes or np.datetime64
nsteps (int) – Number of forecast steps
prognostic (PrognosticModel) – Prognostic model
data (DataSource) – Data source
io (IOBackend) – IO object
output_coords (CoordSystem, optional) – IO output coordinate system override, by default OrderedDict({})
device (torch.device, optional) – Device to run inference on, by default None

Returns: