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Update Classifier docstrings

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This commit is contained in:
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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5
freqtrade/freqai/prediction_models/CatboostClassifier.py
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@ -20,9 +20,8 @@ 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.
""" """
train_data = Pool( train_data = Pool(

5
freqtrade/freqai/prediction_models/LightGBMClassifier.py
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@ -20,9 +20,8 @@ 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.
""" """
if self.freqai_info.get('data_split_parameters', {}).get('test_size', 0.1) == 0: if self.freqai_info.get('data_split_parameters', {}).get('test_size', 0.1) == 0:

5
freqtrade/freqai/prediction_models/XGBoostClassifier.py
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@ -26,9 +26,8 @@ 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.
""" """
X = data_dictionary["train_features"].to_numpy() X = data_dictionary["train_features"].to_numpy()