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Update Classifier docstrings

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Matthias 2022-10-10 12:13:41 +00:00
parent d3b2b2972e
commit 60de192d47
3 changed files with 6 additions and 9 deletions
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3
freqtrade/freqai/prediction_models/CatboostClassifier.py
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@ -20,8 +20,7 @@ class CatboostClassifier(BaseClassifierModel):
def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any: def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
""" """
User sets up the training and test data to fit their desired model here User sets up the training and test data to fit their desired model here
:params: :param data_dictionary: the dictionary constructed by DataHandler to hold
:data_dictionary: the dictionary constructed by DataHandler to hold
all the training and test data/labels. all the training and test data/labels.
""" """

3
freqtrade/freqai/prediction_models/LightGBMClassifier.py
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@ -20,8 +20,7 @@ class LightGBMClassifier(BaseClassifierModel):
def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any: def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
""" """
User sets up the training and test data to fit their desired model here User sets up the training and test data to fit their desired model here
:params: :param data_dictionary: the dictionary constructed by DataHandler to hold
:data_dictionary: the dictionary constructed by DataHandler to hold
all the training and test data/labels. all the training and test data/labels.
""" """

3
freqtrade/freqai/prediction_models/XGBoostClassifier.py
View File

@ -26,8 +26,7 @@ class XGBoostClassifier(BaseClassifierModel):
def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any: def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
""" """
User sets up the training and test data to fit their desired model here User sets up the training and test data to fit their desired model here
:params: :param data_dictionary: the dictionary constructed by DataHandler to hold
:data_dictionary: the dictionary constructed by DataHandler to hold
all the training and test data/labels. all the training and test data/labels.
""" """