pyabsa.tasks.__SubtaskTemplate__.instructor.instructor
Module Contents
Classes
- class pyabsa.tasks.__SubtaskTemplate__.instructor.instructor.APCTrainingInstructor(config)[source]
Bases:
pyabsa.framework.instructor_class.instructor_template.BaseTrainingInstructor
- abstract _load_dataset_and_prepare_dataloader()[source]
Load the dataset and prepare the dataloader. This method should be implemented in a subclass.
- abstract _train_and_evaluate(criterion)[source]
Train and evaluate the model. This method should be implemented in a subclass.
- abstract _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.
- abstract _evaluate_acc_f1(test_dataloader)[source]
Evaluate the accuracy and F1 score of the model. This method should be implemented in a subclass.
- abstract _init_misc()[source]
Initialize miscellaneous settings specific to the subclass implementation. This method should be implemented in a subclass.