How does HyperOpt find a threshold value of the objective function?

[thada jirajaras]

I have read the article about HyperOpt (https://towardsdatascience.com/a-conceptual-explanation-of-bayesian-model-based-hyperparameter-optimization-for-machine-learning-b8172278050f)

I would like to know..

(1) How does HyperOpt find a threshold value y* of the objective function? 

(2) Is this threshold fixed or does it change with each iteration?

Thank you

[James Bergstra]

If I recall correctly, the threshold y* of the objective is determined by the TPE algorithm on a variable-by-variable basis, as a quantile of the response data to which that variable contributed.

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