From 64f0c86be555de36c450cd85c5be066421919f3c Mon Sep 17 00:00:00 2001 From: v1docq Date: Mon, 18 Sep 2023 16:05:21 +0300 Subject: [PATCH] delete old files with SSA and EnsembleExtractor.py --- fedot_ind/core/models/EnsembleExtractor.py | 54 ---------------------- fedot_ind/core/models/spectral/__init__.py | 0 2 files changed, 54 deletions(-) delete mode 100644 fedot_ind/core/models/EnsembleExtractor.py delete mode 100644 fedot_ind/core/models/spectral/__init__.py diff --git a/fedot_ind/core/models/EnsembleExtractor.py b/fedot_ind/core/models/EnsembleExtractor.py deleted file mode 100644 index 3347fda42..000000000 --- a/fedot_ind/core/models/EnsembleExtractor.py +++ /dev/null @@ -1,54 +0,0 @@ -import pandas as pd - -from fedot_ind.core.models.BaseExtractor import BaseExtractor -from fedot_ind.core.models.signal.SignalExtractor import SignalExtractor -from fedot_ind.core.models.spectral.SSAExtractor import SSAExtractor -from fedot_ind.core.models.quantile.quantile_extractor import QuantileExtractor -from fedot_ind.core.models.topological.TopologicalExtractor import TopologicalExtractor - - -class EnsembleExtractor(BaseExtractor): - """Class for performing experiments with ensemble of feature generator. - - Args: - feature_generator_dict: Dictionary of feature generator consists of - 'generator_name': generator_class pairs. - list_of_generators: List of feature generator. - - """ - - def __init__(self, feature_generator_dict: dict = None, - list_of_generators=None, use_cache: bool = False): - super().__init__(feature_generator_dict) - self.use_cache = use_cache - self.list_of_generators = list_of_generators - self.generator_dict = dict(quantile=QuantileExtractor, - window_quantile=QuantileExtractor, - wavelet=SignalExtractor, - spectral=SSAExtractor, - spectral_window=SSAExtractor, - topological=TopologicalExtractor, - ensemble=EnsembleExtractor) - - # def get_features(self, ts_frame: pd.DataFrame, dataset_name: str = None, target: np.ndarray = None) -> pd.DataFrame: - # return self.ensemble_features(ts_frame, dataset_name) - - def generate_features_from_ts(self, input_data: pd.DataFrame, dataset_name: str = None) -> pd.DataFrame: - """Extracts features using specified generator and combines them into one feature matrix. - - Args: - input_data: Dataframe with time series data. - dataset_name: Dataset name. - - Returns: - Dataframe with extracted features. - - """ - self.logger.info(f'Extracting features using ensemble of generator: {self.list_of_generators.keys()}') - features = list() - for generator_name, generator in self.list_of_generators.items(): - features_df = generator.extract_features(input_data, dataset_name) - features.append(features_df) - - self.logger.info(f'Features extraction finished') - return pd.concat(features, axis=1) diff --git a/fedot_ind/core/models/spectral/__init__.py b/fedot_ind/core/models/spectral/__init__.py deleted file mode 100644 index e69de29bb..000000000