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Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

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Hi, I was trying to apply this method to a different system od ODEs, namely the 2D Hopf normal form defined by: `function Hopf2D(du, u, p, t)` ` μ, ω,...

When I try to run the code, I get the following error: https://github.com/ChrisRackauckas/universal_differential_equations/blob/dd836890e7e09923a0ae9ed8b6b49d2ee64b2e6a/SEIR_exposure/seir_exposure.jl#L223 type SparseIdentificationResult has no field basis Thanks!

https://github.com/ChrisRackauckas/universal_differential_equations/blob/dd836890e7e09923a0ae9ed8b6b49d2ee64b2e6a/SEIR_exposure/seir_exposure.jl#L235 I get this error when attempting to the function as it is "MethodError: objects of type SparseIdentificationResult are not callable"