bayesopt when using latin hypercube sampling seems to invoke intermediate callbacks resulting in more initial samples than intented.
Example input values received in callback function:
x = [ 0.30424932 0. 0. ]
x = [ 0.30424932 0.32077927 0. ]
x = [ 0.30424932 0.32077927 0.43445221]
It seems like it is filling the list one by one and invoking the callback in between.
rmcantin
commented
11 years ago
bayesopt when using latin hypercube sampling seems to invoke intermediate callbacks resulting in more initial samples than intented.
Example input values received in callback function: x = [ 0.30424932 0. 0. ] x = [ 0.30424932 0.32077927 0. ] x = [ 0.30424932 0.32077927 0.43445221] It seems like it is filling the list one by one and invoking the callback in between.