immuneML.hyperparameter_optimization package

Subpackages

• immuneML.hyperparameter_optimization.config package
  • Submodules
  • immuneML.hyperparameter_optimization.config.LeaveOneOutConfig module
  • immuneML.hyperparameter_optimization.config.ManualSplitConfig module
  • immuneML.hyperparameter_optimization.config.ReportConfig module
  • immuneML.hyperparameter_optimization.config.SplitConfig module
  • immuneML.hyperparameter_optimization.config.SplitType module
  • Module contents
• immuneML.hyperparameter_optimization.core package
  • Submodules
  • immuneML.hyperparameter_optimization.core.HPAssessment module
  • immuneML.hyperparameter_optimization.core.HPSelection module
  • immuneML.hyperparameter_optimization.core.HPUtil module
  • Module contents
• immuneML.hyperparameter_optimization.states package
  • Submodules
  • immuneML.hyperparameter_optimization.states.HPAssessmentState module
  • immuneML.hyperparameter_optimization.states.HPItem module
  • immuneML.hyperparameter_optimization.states.HPLabelState module
  • immuneML.hyperparameter_optimization.states.HPSelectionState module
  • immuneML.hyperparameter_optimization.states.TrainMLModelState module
  • Module contents
• immuneML.hyperparameter_optimization.strategy package
  • Submodules
  • immuneML.hyperparameter_optimization.strategy.GridSearch module
  • immuneML.hyperparameter_optimization.strategy.HPOptimizationStrategy module
  • Module contents

Submodules

immuneML.hyperparameter_optimization.HPSetting module

class immuneML.hyperparameter_optimization.HPSetting.HPSetting(encoder: immuneML.encodings.DatasetEncoder.DatasetEncoder, encoder_params: dict, ml_method: immuneML.ml_methods.MLMethod.MLMethod, ml_params: dict, preproc_sequence: list, encoder_name: Optional[str] = None, ml_method_name: Optional[str] = None, preproc_sequence_name: Optional[str] = None)

Bases: object

get_key()

immuneML.hyperparameter_optimization.HPSettingResult module

class immuneML.hyperparameter_optimization.HPSettingResult.HPSettingResult(optimal_setting: immuneML.hyperparameter_optimization.HPSetting.HPSetting, all_settings: dict)

Bases: object

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.

Module contents