Example #1
0
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)
"""
Example #2
0
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)
"""