How to use DataDrivenDiffEq.jl for simple Sparse Identification without ODE

Right now the Sparse Regression does not support unknown parameter values ( might be in future releases using either MAP estimation or Bayesian or MINLP ). So you need to provide a parameter value inside your basis.

problem = DirectDataDrivenProblem(X, Y, p = [1.0])

I’ll write a check for that. Sorry.

I would use symbolic regression for now.

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