pyabsa.tasks.AspectTermExtraction.instructor.atepc_instructor
Module Contents
Classes
- class pyabsa.tasks.AspectTermExtraction.instructor.atepc_instructor.ATEPCTrainingInstructor(config)[source]
Bases:
pyabsa.framework.instructor_class.instructor_template.BaseTrainingInstructor
- _load_dataset_and_prepare_dataloader()[source]
Load the dataset and prepare the dataloader. This method should be implemented in a subclass.
- _train_and_evaluate(criterion)[source]
Train and evaluate the model. This method should be implemented in a subclass.
- _k_fold_train_and_evaluate(criterion)[source]
Train and evaluate the model using k-fold cross validation. This method should be implemented in a subclass.
- _evaluate_acc_f1(test_dataloader, eval_ATE=True, eval_APC=True)[source]
Evaluate the accuracy and F1 score of the model. This method should be implemented in a subclass.
- _init_misc()[source]
Initialize miscellaneous settings specific to the subclass implementation. This method should be implemented in a subclass.