cavalab / srbench

A living benchmark framework for symbolic regression
https://cavalab.org/srbench/
GNU General Public License v3.0
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A new parameter grid of PS-Tree #87

Closed hengzhe-zhang closed 2 years ago

hengzhe-zhang commented 2 years ago

Hello! I have updated the parameter grid. In order to avoid prior bias, I use a random sampler to randomly sample some hyperparameters from the parameter grid. I don't know whether this design will perform better or not than my baseline hyperparameter because hyperparameter sampling is a rather stochastic process. Thus, I'm looking forward to the benchmark result.

lacava commented 2 years ago

the one issue I see is that the random_state of ParameterSampler is uncontrolled. Is there a way to avoid that?

hengzhe-zhang commented 2 years ago

@lacava I have updated my code to add a random seed for the random sampler.