For example the objective function has a single parameter
space=hp.uniform('a', -10, 10)
We already know 3 of the evaluation of the function [0.25, 0.7, 0.45] for 3 values of 'a', for example, [1.8, -2.7, 9.0].
Loaded them using trials_from_docs()
How get the next recommended value of the parameter 'a' (something like method __.next() ) ?
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Is it possible(how?) to implement a warm start?
For example the objective function has a single parameter space=hp.uniform('a', -10, 10) We already know 3 of the evaluation of the function [0.25, 0.7, 0.45] for 3 values of 'a', for example, [1.8, -2.7, 9.0]. Loaded them using trials_from_docs() How get the next recommended value of the parameter 'a' (something like method __.next() ) ?
Thanks