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added temperature, and coverage increases!

This commit is contained in:
Alejandro Moreo Fernandez 2025-12-06 13:51:49 +01:00
parent 7c7af2cfaf
commit 84c11d956b
2 changed files with 4 additions and 3 deletions
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3
BayesianKDEy/_bayeisan_kdey.py
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@ -166,7 +166,8 @@ class BayesianKDEy(AggregativeSoftQuantifier, KDEBase, WithConfidenceABC):
samples.append(current_prev) samples.append(current_prev)
acceptance_history.append(1. if accepted else 0.) acceptance_history.append(1. if accepted else 0.)
if i < self.num_warmup and i%10==0 and len(acceptance_history)>=100: # if i < self.num_warmup and i%10==0 and len(acceptance_history)>=100:
if i % 10 == 0 and len(acceptance_history) >= 100:
recent_accept_rate = np.mean(acceptance_history[-100:]) recent_accept_rate = np.mean(acceptance_history[-100:])
step_size *= np.exp(adapt_rate * (recent_accept_rate - target_acceptance)) step_size *= np.exp(adapt_rate * (recent_accept_rate - target_acceptance))
# step_size = float(np.clip(step_size, min_step, max_step)) # step_size = float(np.clip(step_size, min_step, max_step))

4
BayesianKDEy/single_experiment_debug.py
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@ -47,8 +47,8 @@ def methods():
# yield 'BootstrapKDEy', KDEyML(LR()), kdey_hyper, lambda hyper: AggregativeBootstrap(KDEyML(LR(), **hyper), n_test_samples=1000, random_state=0, verbose=True), # yield 'BootstrapKDEy', KDEyML(LR()), kdey_hyper, lambda hyper: AggregativeBootstrap(KDEyML(LR(), **hyper), n_test_samples=1000, random_state=0, verbose=True),
# yield 'BayesianKDEy', KDEyML(LR()), kdey_hyper, lambda hyper: BayesianKDEy(mcmc_seed=0, **hyper), # yield 'BayesianKDEy', KDEyML(LR()), kdey_hyper, lambda hyper: BayesianKDEy(mcmc_seed=0, **hyper),
for T in [1., 10., 100., 1000.]: for T in [100., 500, 1000.]:
yield f'BaKDE-CLR-T{T}', KDEyCLR(LR()), kdey_hyper_clr, lambda hyper: BayesianKDEy(kernel='aitchison', mcmc_seed=0, temperature=T, step_size=.15, **hyper), yield f'BaKDE-CLR-T{T}', KDEyCLR(LR()), kdey_hyper_clr, lambda hyper: BayesianKDEy(kernel='aitchison', explore='ilr', mcmc_seed=0, temperature=T, step_size=.1, **hyper),