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Update mal-formatted docstrings

This commit is contained in:
Matthias 2022-10-24 06:53:42 +02:00
parent dd45a3f500
commit 6669714a73
2 changed files with 4 additions and 6 deletions
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3
freqtrade/freqai/data_kitchen.py
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@ -468,8 +468,7 @@ class FreqaiDataKitchen:
def check_pred_labels(self, df_predictions: DataFrame) -> DataFrame:
"""
Check that prediction feature labels match training feature labels.
:params:
:df_predictions: incoming predictions
:param df_predictions: incoming predictions
"""
constant_labels = self.data['constant_features_list']
df_predictions = df_predictions.filter(

7
freqtrade/freqai/prediction_models/XGBoostRFClassifier.py
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@ -26,9 +26,8 @@ class XGBoostRFClassifier(BaseClassifierModel):
def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
"""
User sets up the training and test data to fit their desired model here
:params:
:data_dictionary: the dictionary constructed by DataHandler to hold
all the training and test data/labels.
:param data_dictionary: the dictionary constructed by DataHandler to hold
all the training and test data/labels.
"""
X = data_dictionary["train_features"].to_numpy()
@ -65,7 +64,7 @@ class XGBoostRFClassifier(BaseClassifierModel):
) -> Tuple[DataFrame, npt.NDArray[np.int_]]:
"""
Filter the prediction features data and predict with it.
:param: unfiltered_df: Full dataframe for the current backtest period.
:param unfiltered_df: Full dataframe for the current backtest period.
:return:
:pred_df: dataframe containing the predictions
:do_predict: np.array of 1s and 0s to indicate places where freqai needed to remove