Gene
2 years ago
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learnware/market/heterogeneous/organizer.py
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| @@ -1,97 +0,0 @@ | |||
| from typing import List | |||
| import numpy as np | |||
| from ...learnware import Learnware | |||
| from ..evolve.organizer import EvolvedOrganizer | |||
| class MappingFunction: | |||
| def __init__(self) -> None: | |||
| pass | |||
| def transform(X: np.ndarray) -> np.ndarray: | |||
| """transform the data in one feature space to another feature space. | |||
| Parameters | |||
| ---------- | |||
| X : np.ndarray | |||
| data in one feature space | |||
| Returns | |||
| ------- | |||
| np.ndarray | |||
| transformed data in other feature space | |||
| """ | |||
| pass | |||
| class HeterogeneousOrganizer(EvolvedOrganizer): | |||
| """Organize learnwares with heterogeneous feature spaces, organizer version with evolved learnwares""" | |||
| def __init__(self, *args, **kwargs): | |||
| super(HeterogeneousOrganizer, self).__init__(*args, **kwargs) | |||
| self.mapping_function_list = {} | |||
| def _mapping_function_list_initialization(self, learnware_list: List[Learnware]): | |||
| """Initialize mapping functions with all submitted learnwares | |||
| Parameters | |||
| ---------- | |||
| learnware_list : List[Learnware] | |||
| list of learnwares | |||
| """ | |||
| self.mapping_function_list = self.learn_mapping_functions(learnware_list) | |||
| def learn_mapping_functions(self, learnware_list: List[Learnware]) -> List[MappingFunction]: | |||
| """Use all statistical specifications of submitted learnwares to generate mapping functions from each original feature space to subsapce and vice verse. | |||
| Parameters | |||
| ---------- | |||
| learnware_list : List[Learnware] | |||
| list of learnwares | |||
| Returns | |||
| ------- | |||
| List[MappingFunction] | |||
| list of mapping functions | |||
| """ | |||
| pass | |||
| def transform_original_to_subspace( | |||
| self, original_feature_space_idx: int, original_feature: np.ndarray | |||
| ) -> np.ndarray: | |||
| """Transform feature in a original feature space to the subspace. | |||
| Parameters | |||
| ---------- | |||
| original_feature_space_idx : int | |||
| index of the original feature space | |||
| original_feature : np.ndarray | |||
| data in the original feature space | |||
| Returns | |||
| ------- | |||
| np.ndarray | |||
| mapped data in the subspace | |||
| """ | |||
| pass | |||
| def transform_subspace_to_original( | |||
| self, original_feature_space_idx: int, subspace_feature: np.ndarray | |||
| ) -> np.ndarray: | |||
| """Transform feature in the subspace to a original feature space. | |||
| Parameters | |||
| ---------- | |||
| original_feature_space_idx : int | |||
| index of the original feature space | |||
| subspace_feature : np.ndarray | |||
| data in the subspace | |||
| Returns | |||
| ------- | |||
| np.ndarray | |||
| mapped data in the original feature space | |||
| """ | |||
| pass | |||