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Implemented in #189 |
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When we are doing LHS today, we evenly sample each dimension. Shouldn't this follow the priors we have? So that a log-uniform distributed real dimension have more samples at the low values? And if a categorical dimension has a category with a higher prior, shouldn't that be sampled more often?
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