pywrdrb.parameters.PredictionEnsemble

pywrdrb.parameters.PredictionEnsemble#

class pywrdrb.parameters.PredictionEnsemble(model, column, inflow_type, ensemble_indices, **kwargs)#

This parameter provides access to an ensemble of flow prediction timeseries used to inform FFMP releases.

Parameters:

model (Model) – The Pywr model.
column (str) – The label of the prediction column.
inflow_type (str) – The dataset label; Options: ‘obs_pub_nhmv10_ObsScaled_ensemble’, ‘obs_pub_nwmv21_ObsScaled_ensemble’
ensemble_indices (list) – Indices of the inflow ensemble to be used.
**kwargs – Additional keyword arguments.

Returns:

None

Methods

`__init__`(model, column, inflow_type, ...)
`after`(self)
`before`(self)
`finish`(self)
`get_all_values`(self)
`get_constant_value`(self)	Return a constant value.
`get_double_lower_bounds`(self)
`get_double_upper_bounds`(self)
`get_double_variables`(self)
`get_integer_lower_bounds`(self)
`get_integer_upper_bounds`(self)
`get_integer_variables`(self)
`get_value`(self, ScenarioIndex scenario_index)
`load`(cls, model, data)
`register`(cls)
`reset`(self)
`set_double_variables`(self, double[)
`set_integer_variables`(self, int[)
`setup`()	Perform setup operations for the parameter.
`unregister`(cls)
`value`(timestep, scenario_index)	Return the current flow across scenarios for the specified timestep and scenario index.

Attributes