# skfolio.exceptions.ConvexOptimizationError ### *exception* skfolio.exceptions.ConvexOptimizationError A convex optimization step could not produce valid portfolio weights. This includes infeasible problems and unusable numerical results. It can be caught as `OptimizationError` or `cvxpy.SolverError`. See [Failure Handling](https://skfolio.org/user_guide/optimization.html.md#optimization-failure-handling). #### add_note(object, /) Exception.add_note(note) – add a note to the exception #### with_traceback(object, /) Exception.with_traceback(tb) – set self._\_traceback_\_ to tb and return self.