energia.represent.classifiers

Model classifiers

Classes

Enum(value[, names, module, qualname, type, ...])	Create a collection of name/value pairs.
Paradigm(value[, names, module, qualname, ...])	Modeling Paradigm
Scale(value[, names, module, qualname, ...])	Model Scale/Order
Structure(value[, names, module, qualname, ...])	Model Mathematical Structure/Order/Variable Types
Uncertainty(value[, names, module, ...])	Model uncertainty

class Uncertainty(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

Model uncertainty

DETERMINISTIC = 'Deterministic (certain inputs)'

STOCHASTIC = 'Stochastic (random inputs)'

PARAMETRIC = 'Parametric (uncertain parameters)'

class Structure(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

Model Mathematical Structure/Order/Variable Types

LINEAR = 'Linear'

NONLINEAR = 'Nonlinear'

INTEGER = 'Integer'

MIXED_INTEGER = 'Mixed-Integer'

class Scale(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

Model Scale/Order

MULTI = 'Multi'

SINGLE = 'Single'

class Paradigm(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

Modeling Paradigm

DESIGN = 'Design'

SCHEDULING = 'Scheduling'

CONTROL = 'Control'