run.deterministic

Import path: earth2studio.run.deterministic

View source on GitHub

Documentation

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[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, default: OrderedDict({}) ) –

  IO output coordinate system override, by default OrderedDict({})

• device (device, default: None ) –

  Device to run inference on, by default None

• verbose (bool, default: True ) –

  Print inference progress, by default True

• checkpoint (Checkpoint, default: NullCheckpoint() ) –

  Checkpoint manager or checkpoint session used to record and resume workflow progress, by default no checkpoint

Returns:

• IOBackend –

  Output IO object

Examples using earth2studio.run.deterministic

Running Deterministic InferenceBasic deterministic inference workflow. Running StormCast-CONUS InferenceBasic StormCast-CONUS inference workflow for the full Continental United States. Extending Prognostic ModelsImplementing a custom prognostic model