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feat(Data): create DataSource, DataCollection, added hourly crypto data (#96)

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* feat(Data): create DataSource, DataCollection, added hourly crypto data

* fix(Data): hourly data format, loading & config
This commit is contained in:
Mark Aron Szulyovszky
2021-12-31 19:04:27 +01:00
committed by GitHub
parent f762ceed2a
commit 442915f847
59 changed files with 276175 additions and 43473 deletions
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models/model_map.py
+1 -1
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@@ -45,7 +45,7 @@ model_names_regression = list(model_map["regression_models"].keys())
default_feature_selector_regression = model_map['regression_models']['RF']
default_feature_selector_classification = model_map['classification_models']['RF']
def map_model_name_to_function(model_config:dict, method:str) -> dict:
def preprocess_model_config(model_config:dict, method:str) -> dict:
model_config['level_1_models'] = [(model_name, model_map[method + '_models'][model_name]) for model_name in model_config['level_1_models']]
if model_config['level_2_model'] is not None:
model_config['level_2_model'] = (model_config['level_2_model'], model_map[method + '_models'][model_config['level_2_model']])