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Added a comprehensive example of an MPI-distributed, asynchronous, multi-fidelity and multi-objective HPO with a Burn network trained on MNIST.
Fixed
MoAsha: When generating a random sample at the first front when k=0. The sample was associated with the budget of the previously sampled solution.
MessagePack: The remove_func_state was removing a .md file instead of the folder containing the function state.
seqfidevaluator: If recursive_send was unable to send something to all idle, then it will wait for an incoming message containing a computed solution that might help unstuck other processes. It was previously stuck within an infinite loop.
Added
The objective! macro now handles generics from the user-defined objective function.