syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution module
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.Distribution[source]
Bases:
object
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.Gamma(mean, alpha)[source]
Bases:
Distribution
Gamma(mean, alpha):
p(x) = C(alpha, beta) x^{alpha - 1} exp( -beta x), beta = alpha / mean, C(alpha, beta) = beta^alpha / Gamma(alpha)
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.Uniform(lower, upper)[source]
Bases:
Distribution
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.Normal(mean, sigma)[source]
Bases:
Distribution
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.LogNormal(mean, sigma)[source]
Bases:
Distribution
- class syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution.Horseshoe(s)[source]
Bases:
Distribution