fibber.paraphrase_strategies.fudge_strategy module¶
-
class
fibber.paraphrase_strategies.fudge_strategy.
FudgeStrategy
(arg_dict, dataset_name, strategy_gpu_id, output_dir, metric_bundle, field)[source]¶ Bases:
fibber.paraphrase_strategies.strategy_base.StrategyBase
A baseline paraphrase strategy. Just return the reference.
Initialize the paraphrase_strategies.
This function initialize the
self._strategy_config
,self._metric_bundle
,self._device
,self._output_dir
,self._dataset_name
.You should not overwrite this function.
self._strategy_config (dict): a dictionary that stores the strategy name and all hyperparameter values. The dict is also saved to the results.
self._metric_bundle (MetricBundle): the metrics that will be used to evaluate paraphrases. Strategies can compute metrics during paraphrasing.
self._device (torch.Device): any computation that requires a GPU accelerator should use this device.
self._output_dir (str): the dir name where the strategy can save files.
self._dataset_name (str): the dataset name.
- Parameters
arg_dict (dict) – all args load from command line.
dataset_name (str) – the name of the dataset.
strategy_gpu_id (int) – the gpu id to run the strategy.
output_dir (str) – a directory to save any models or temporary files.
metric_bundle (MetricBundle) – a MetricBundle object.
-
fit
(trainset)[source]¶ Fit the paraphrase strategy on a training set.
- Parameters
trainset (dict) – a fibber dataset.
-
paraphrase_example
(data_record, n)[source]¶ Paraphrase one data record.
This function should be overwritten by subclasses. When overwriting this class, you can use
self._strategy_config
,self._metric_bundle
,self._device
,self._output_dir
, andself._dataset_name
- Parameters
data_record (dict) – a dict storing one data of a dataset.
n (int) – number of paraphrases.
- Returns
A list contain at most n strings.
- Return type
([str,])