pyabsa.tasks.RNARegression.prediction.rna_regressor

Classes

RNARegressor
Predictor

Module Contents

class pyabsa.tasks.RNARegression.prediction.rna_regressor.RNARegressor(checkpoint=None, **kwargs)

Bases: pyabsa.framework.prediction_class.predictor_template.InferenceModel

task_code = 'RNAR'

_log_write_args()

batch_predict(target_file=None, print_result=True, save_result=False, ignore_error=True, **kwargs)

Predict from a file of sentences. param: target_file: the file path of the sentences to be predicted. param: print_result: whether to print the result. param: save_result: whether to save the result. param: ignore_error: whether to ignore the error when predicting. param: kwargs: other parameters.

predict(text: str | list = None, print_result=True, ignore_error=True, **kwargs)

Predict from a sentence or a list of sentences. param: text: the sentence or a list of sentence to be predicted. param: print_result: whether to print the result. param: ignore_error: whether to ignore the error when predicting. param: kwargs: other parameters.

_run_prediction(save_path=None, print_result=True)

This method should be implemented in the subclass for running predictions using the trained model.

Parameters:

kwargs – additional keyword arguments

Returns:

predicted labels or other prediction outputs

clear_input_samples()

class pyabsa.tasks.RNARegression.prediction.rna_regressor.Predictor(checkpoint=None, **kwargs)

Bases: RNARegressor