2935cdd098302ff379dd40c23acf088b62934aad,smart_importer/predictor.py,SmartImporterDecorator,train_pipeline,#SmartImporterDecorator#,81

Before Change

        if not self.training_data:
            raise ValueError("Cannot train the machine learning model "
                             "because the training data is empty.")
        elif len(self.training_data) < 2:
            raise ValueError(
                "Cannot train the machine learning model "
                "because the training data consists of less than two elements."
            )

After Change

    def train_pipeline(self):
        Train the machine learning pipeline.

        if not self.training_data:
            logger.error("Cannot train the machine learning model "
                         "because the training data is empty.")
            return

        self.pipeline.fit(self.training_data, self.targets)
        logger.debug("Trained the machine learning model.")

    def process_entries(self, imported_entries) -> List[Union[ALL_DIRECTIVES]]:

Instances