Source code for immuneML.hyperparameter_optimization.HPSettingResult

from immuneML.hyperparameter_optimization.HPSetting import HPSetting

[docs]class HPSettingResult: """ HPSettingResult encapsulates the results from evaluating a set of different hyperparameter settings (e.g. on one train/test split in the outer loop of nested cross-validation) - it stores the optimal setting which can be used to assess the performance on the task, and all settings if needed for downstream analysis. """ def __init__(self, optimal_setting: HPSetting, all_settings: dict): self.optimal_setting = optimal_setting assert all(isinstance(setting, HPSetting) for setting in all_settings.values()) self.all_settings = all_settings