SciML/DataDrivenDiffEq.jl: DataDrivenSR-v0.1.9

Le résumé fourni par la source

DataDrivenSR DataDrivenSR-v0.1.9 Diff since DataDrivenSR-v0.1.8 Added SymbolicRegression and Options are reexported, so using DataDrivenSR alone is enough to configure an EQSearch the way the tutorials do. Changed Adopted the SymbolicRegression 2 operator API: build options with Options(operators = OperatorEnum(1 => (sin,), 2 => (+, *))) rather than the binary_operators/unary_operators keywords. Merged pull requests: Restore the documented reexports and document the reexported API (#656) (@ChrisRackauckas) Drop stale [compat] majors older than one year (#658) (@ChrisRackauckas-Claude) Fix docs CI: resolve AbstractDifferentiation/ForwardDiff conflict (#659) (@ChrisRackauckas-Claude) Fix DataDrivenSR compatibility with SymbolicRegression 2 (#660) (@ChrisRackauckas-Claude) Handle despecialized parameters in DataDrivenProblem (#661) (@ChrisRackauckas-Claude) Use a portable local source in the docs environment (#662) (@ChrisRackauckas-Claude) Release 1.16.0 (#663) (@ChrisRackauckas) Develop all DataDrivenDiffEq lib/* in Downstream CI (#664) (@ChrisRackauckas-Claude) Raise Symbolics and IntervalArithmetic floors for downgrade sublibraries (#665) (@ChrisRackauckas-Claude) Release 0.3.0 (#666) (@ChrisRackauckas) Release 0.1.9 (#667) (@ChrisRackauckas)

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