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[RNN Training, Optimizer] - Updated RNN Surrogate, Isolation of setups

Mohib Mustafa requested to merge dev_mm into main

  • dspace performs I/O for x_vals and r_vals during writeGP routine instead of inside the driver routine.

  • benchmarks.py isolates multiscale simulations as objects to avoid conficts inside the driver routine.

  • Driver routine for optimizer is now setup independent in terms of objective function defination which can be specified within the get_x() method for the benchmark object.

  • Optimizater iterations are saved in a checkpoint.pkl file for resurrection and post processing

  • Partial dependence and convergence plots can be generated from driver script by passing argument visual.

Mohib

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