Files
Castor/common/train.py
T
Achyudh Ram 1b817d3e24 WIP: Add Reuters-21578 dataset (#147)
* Add ReutersTrainer, ReutersEvaluator options in Factory classes

* Add Reuters to Kim-CNN command line arguments

* Fix SST dataset path according to changes in Kim-CNN args

The dataset path in args.py was made to point at the dataset folder rather than dataset/SST folder. Hence SST folder was added to paths in the SST dataset class

* Add Reuters dataset class, and support in __main__

* Add Reuters dataset trainers and evaluators

* Remove debug print statement in reuters_evaluator

* Fix rounding bug in reuters_trainer and reuters_evaluator
2018-10-02 21:09:51 -04:00

46 lines
1.6 KiB
Python

from .trainers.sick_trainer import SICKTrainer
from .trainers.msrvid_trainer import MSRVIDTrainer
from .trainers.trecqa_trainer import TRECQATrainer
from .trainers.wikiqa_trainer import WikiQATrainer
from .trainers.pit2015_trainer import PIT2015Trainer
from .trainers.sst_trainer import SSTTrainer
from .trainers.reuters_trainer import ReutersTrainer
from nce.nce_pairwise_mp.trainers.trecqa_trainer import TRECQATrainerNCE
from nce.nce_pairwise_mp.trainers.wikiqa_trainer import WikiQATrainerNCE
class TrainerFactory(object):
"""
Get the corresponding Trainer class for a particular dataset.
"""
trainer_map = {
'sick': SICKTrainer,
'msrvid': MSRVIDTrainer,
'SST-1': SSTTrainer,
'SST-2': SSTTrainer,
'trecqa': TRECQATrainer,
'wikiqa': WikiQATrainer,
'pit2015': PIT2015Trainer,
'twitterurl': PIT2015Trainer,
'Reuters': ReutersTrainer
}
trainer_map_nce = {
'trecqa': TRECQATrainerNCE,
'wikiqa': WikiQATrainerNCE
}
@staticmethod
def get_trainer(dataset_name, model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None, nce=False):
if nce:
trainer_map = TrainerFactory.trainer_map_nce
else:
trainer_map = TrainerFactory.trainer_map
if dataset_name not in trainer_map:
raise ValueError('{} is not implemented.'.format(dataset_name))
return trainer_map[dataset_name](
model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator
)