# Solutions

DataDrivenDiffEq.DataDrivenSolutionType
struct DataDrivenSolution{L, A, O} <: DataDrivenDiffEq.AbstractDataDrivenSolution

The solution to a DataDrivenProblem derived via a certain algorithm. The solution is represented via an AbstractBasis, which makes it callable.

Fields

• basis

The basis representation of the solution

• parameters

Parameters of the solution

• retcode

Returncode

• alg

Algorithm

• out

Original output of the solution algorithm

• prob

Problem

• l2_error

L₂ norm error

• aic

AIC

• rsquared

Coefficient of determinantion

Note

The L₂ norm error, AIC and coefficient of determinantion get only computed, if eval_expression is set to true or if the solution can be interpreted as a linear regression result.

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## Functions

Missing docstring.

Missing docstring for error. Check Documenter's build log for details.

DataDrivenDiffEq.determinationFunction
determination(r)


Returns the coefficient of determinantion of the result, if the result has been derived via a linear regression, e.g. sparse regression or koopman.

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