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launching kde**

This commit is contained in:
Alejandro Moreo Fernandez 2025-12-04 10:34:38 +01:00
parent 23608f2038
commit bfb6482410
1 changed files with 2 additions and 12 deletions
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14
BayesianKDEy/full_experiments.py
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@ -35,18 +35,6 @@ class KDEyCLR(KDEyML):
random_state=random_state, kernel='aitchison'
)
def methods__():
acc_hyper = {}
hdy_hyper = {'nbins': [3,4,5,8,16,32]}
kdey_hyper = {'bandwidth': [0.001, 0.005, 0.01, 0.05, 0.1, 0.2], 'classifier__C':[1]}
wrap_hyper = lambda dic: {f'quantifier__{k}':v for k,v in dic.items()}
# yield 'BootstrapACC', AggregativeBootstrap(ACC(LR()), n_test_samples=1000, random_state=0), wrap_hyper(acc_hyper)
# yield 'BootstrapHDy', AggregativeBootstrap(DMy(LR(), divergence='HD'), n_test_samples=1000, random_state=0), wrap_hyper(hdy_hyper)
yield 'BootstrapKDEy', AggregativeBootstrap(KDEyML(LR()), n_test_samples=1000, random_state=0), wrap_hyper(kdey_hyper)
# yield 'BayesianACC', BayesianCC(LR(), mcmc_seed=0), acc_hyper
# yield 'BayesianHDy', PQ(LR(), stan_seed=0), hdy_hyper
# yield 'BayesianKDEy', BayesianKDEy(LR(), mcmc_seed=0), kdey_hyper
def methods():
"""
@ -66,10 +54,12 @@ def methods():
yield 'BayesianACC', ACC(LR()), acc_hyper, lambda hyper: BayesianCC(LR(), mcmc_seed=0)
yield 'BootstrapHDy', DMy(LR()), hdy_hyper, lambda hyper: AggregativeBootstrap(DMy(LR(), **hyper), n_test_samples=1000, random_state=0),
# yield 'BayesianHDy', PQ(LR(), stan_seed=0), hdy_hyper
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*', KDEyCLR(LR()), kdey_hyper_clr, lambda hyper: BayesianKDEy(kernel='aitchison', mcmc_seed=0, **hyper),
yield 'BayKDEy*CLR', KDEyCLR(LR()), kdey_hyper_clr, lambda hyper: BayesianKDEy(kernel='aitchison', mcmc_seed=0, explore_CLR=True, step_size=.15, **hyper),
def model_selection(train: LabelledCollection, point_quantifier: AggregativeQuantifier, grid: dict):