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setting experiments for ensembles mrae

This commit is contained in:
Alejandro Moreo Fernandez 2021-07-05 09:11:06 +02:00
parent f96469da18
commit 56bb60d8b6
1 changed files with 4 additions and 3 deletions
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7
TweetSentQuant/experiments_NPP.py
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@ -58,6 +58,7 @@ def quantification_ensembles():
param_mod_sel = {
'sample_size': settings.SAMPLE_SIZE,
'n_repetitions': 1000,
'protocol': 'npp',
'verbose': False
}
common = {
@ -72,13 +73,13 @@ def quantification_ensembles():
# hyperparameters will be evaluated within each quantifier of the ensemble, and so the typical model selection
# will be skipped (by setting hyperparameters to None)
hyper_none = None
#yield 'epaccmaeptr', EPACC(newLR(), optim='mae', policy='ptr', **common), hyper_none
yield 'epaccmaeptr', EPACC(newLR(), optim='mae', policy='ptr', **common), hyper_none
yield 'epaccmaemae1k', EPACC(newLR(), optim='mae', policy='mae', **common), hyper_none
# yield 'esldmaeptr', EEMQ(newLR(), optim='mae', policy='ptr', **common), hyper_none
# yield 'esldmaemae', EEMQ(newLR(), optim='mae', policy='mae', **common), hyper_none
#yield 'epaccmraeptr', EPACC(newLR(), optim='mrae', policy='ptr', **common), hyper_none
#yield 'epaccmraemrae', EPACC(newLR(), optim='mrae', policy='mrae', **common), hyper_none
yield 'epaccmraeptr', EPACC(newLR(), optim='mrae', policy='ptr', **common), hyper_none
yield 'epaccmraemrae', EPACC(newLR(), optim='mrae', policy='mrae', **common), hyper_none
#yield 'esldmraeptr', EEMQ(newLR(), optim='mrae', policy='ptr', **common), hyper_none
#yield 'esldmraemrae', EEMQ(newLR(), optim='mrae', policy='mrae', **common), hyper_none