from core.experiment import experiment2 from core.experiment import run_with_bayes_opt2 from core.util import dirs #dirs.set_project('imm_labeled', 'framing') run_with_bayes_opt2.main(['imm_labeled', 'Economic_labels', 'framing']) """ experiment2.run_experiment('test', 'Economic_labels', 2, -1, ['ngrams,subdir=stanford,source=words,transform=binarize,min_df=4,lower=0,n=1', 'ngrams,subdir=stanford,source=lemmas,transform=binarize,min_df=6,lower=0,n=2', 'list,subdir=stanford,source=pos,transform=normalizel1', 'list,subdir=stanford,source=dependency_links,transform=normalizel1'], 'LR', 10, 0.1, weight_col=1, metric='f1', only_unanimous=True, save_model=False) """
from core.experiment import experiment2 from core.experiment import run_with_bayes_opt2 from core.util import dirs #dirs.set_project('imm_labeled', 'framing') run_with_bayes_opt2.main(['imm_labeled', 'Public_sentiment_labels', 'framing']) """ experiment2.run_experiment('test', 'Public_sentiment_labels', 2, -1, ['ngrams,subdir=stanford,source=words,transform=binarize,min_df=4,lower=0,n=1', 'ngrams,subdir=stanford,source=lemmas,transform=binarize,min_df=6,lower=0,n=2', 'list,subdir=stanford,source=pos,transform=normalizel1', 'list,subdir=stanford,source=dependency_links,transform=normalizel1'], 'LR', 10, 0.1, weight_col=1, metric='f1', only_unanimous=True, save_model=False) """