Feedback on GrainLearning from Balazs

[chyalexcheng]

• The need for deterministic parameter sampling
  • after each iteration
  • independent GL run
• Need for constrains during parameter sampling
  • Situations when parameters have constraints v0 < v1 < v2
  • Possibility for users to define their own resample function
• Common interface as other codes
  • Example scipy or matlab

    def run_sim(batch_parameters,...):
        # loop within the code
        return batch of samples
    

  • Or at least have it well documented and explained
• Overall improve documentation. More documentation etc.
• A way to access the current iteration (system linked with calibration module?)
• On loading previous proposal - an example how it can be done in run_sim
• Add link to new GL repository on old one

[chyalexcheng]

Deterministic paarmeter sampling
Set random_state of sampling to a constant value