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Parameter Optimization

Here a number of implementations of algorithms to find optimal values a in parameter space are explored.

What is it?

  1. parameter_optimization.ipynb: Jupyter notebook illustrating the hyperopt and the BayianOptimization module.
  2. continuous_process.py: Python script that takes x and y y values as --x and --y options, and prints the value of the function to optimize to standard output.
  3. hyperopt_imize.py: Illustrates using the hyperopt TPE algorithm to optimize the parameters for an application, i.e., continuous_process.py.
  4. JuliaJobs: illustration of optimizing application parameters by running jobs and using the result.
  5. JuliaProcesses: illustration of optimizing application parameters by running processes.
  6. optuna: illustrations of using Optuna for hyperparameter optimization.