pywr.parameters.LogisticParameter
- class pywr.parameters.LogisticParameter(model, value=0.0, lower_bounds=-6.0, upper_bounds=6.0, max_output=1.0, growth_rate=1.0, **kwargs)
An activation function that follows a logistic function using its interval value.
- Parameters:
- valuefloat
The current value of the internal variable (default = 0.0)
- lower_bounds, upper_boundsfloat
The valid ranges of the internal variable for optimisation (default = [-1.0, 1.0]).
- max_outputfloat
The maximum value to return when the logistic function is at its upper bounds (default = 1.0).
- growth_ratefloat
The growth rate (or steepness) of the logistic function (default = 1.0).
- __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs)after(self)before(self)finish(self)get_all_values(self)get_constant_value(self)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(self)unregister(cls)value(self, Timestep ts, ...)Attributes
childrencommentcomment: str
double_sizedouble_size: 'int'
growth_rategrowth_rate: 'double'
integer_sizeinteger_size: 'int'
is_constantis_variableis_variable: 'bool'
max_outputmax_output: 'double'
modelnameparentssizetagstags: dict