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 LogLikelihood
name (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

Methods

__init__(identifier, name, value)[source]¶

Create a new Expression instance.

Parameters

identifier (sympy.core.symbol.Symbol) – unique identifier of the LogLikelihood
name (str) –

individual name of the LogLikelihood (does not need to be
unique)
value (sympy.core.expr.Expr) – formula

get_id()¶

ModelQuantity identifier

Return type: sympy.core.symbol.Symbol
Returns: identifier of the ModelQuantity

get_name()¶

ModelQuantity name

Return type: str
Returns: name of the ModelQuantity

get_val()¶

ModelQuantity value

Return type: sympy.core.expr.Expr
Returns: value of the ModelQuantity