amici.ode_export.LogLikelihood¶
-
class
amici.ode_export.
LogLikelihood
(identifier, name, value)[source]¶ A LogLikelihood defines the distance between measurements and experiments for a particular observable. The final LogLikelihood value in the simulation will be the sum of all specified LogLikelihood instances evaluated at all timepoints, abbreviated by Jy
-
__init__
(identifier, name, value)[source] Create a new Expression instance.
- Parameters
identifier (
sympy.core.symbol.Symbol
) – unique identifier of the LogLikelihoodname (
str
) –- individual name of the LogLikelihood (does not need to be
unique)
value (
sympy.core.expr.Expr
) – formula
Methods Summary
__init__
(identifier, name, value)Create a new Expression instance.
get_id
()ModelQuantity identifier
get_name
()ModelQuantity name
get_val
()ModelQuantity value
set_val
(val)Set ModelQuantity value
Methods
-
__init__
(identifier, name, value)[source]¶ Create a new Expression instance.
- Parameters
identifier (
sympy.core.symbol.Symbol
) – unique identifier of the LogLikelihoodname (
str
) –- individual name of the LogLikelihood (does not need to be
unique)
value (
sympy.core.expr.Expr
) – formula
-
get_id
()¶ ModelQuantity identifier
- Return type
- Returns
identifier of the ModelQuantity
-
get_val
()¶ ModelQuantity value
- Return type
- Returns
value of the ModelQuantity
-
set_val
(val)¶ Set ModelQuantity value
- Returns
value of the ModelQuantity
-