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Fixed mypy error

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This commit is contained in:
th0rntwig 2022-08-27 12:44:55 +02:00
parent 86c5ac44e4
commit 71f7d68783
1 changed files with 4 additions and 4 deletions
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8
freqtrade/freqai/data_kitchen.py
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@ -513,7 +513,7 @@ class FreqaiDataKitchen:
return avg_mean_dist
def get_outlier_percentage(self, dropped_pts: npt.ArrayLike) -> float:
def get_outlier_percentage(self, dropped_pts: npt.NDArray) -> float:
"""
Check if more than X% of points werer dropped during outlier detection.
"""
@ -568,7 +568,7 @@ class FreqaiDataKitchen:
outlier_ptc = self.get_outlier_percentage(dropped_points)
if outlier_ptc:
logger.warning(
f"SVM detected >{outlier_ptc}% of the points as outliers."
f"SVM detected > {outlier_ptc}% of the points as outliers."
f"Keeping original dataset."
)
return
@ -691,7 +691,7 @@ class FreqaiDataKitchen:
outlier_ptc = self.get_outlier_percentage(dropped_points)
if outlier_ptc:
logger.warning(
f"DBSCAN detected >{outlier_ptc}% of the points as outliers."
f"DBSCAN detected > {outlier_ptc}% of the points as outliers."
f"Keeping original dataset."
)
return
@ -754,7 +754,7 @@ class FreqaiDataKitchen:
outlier_ptc = self.get_outlier_percentage(1 - do_predict)
if outlier_ptc:
logger.warning(
f"DBSCAN detected >{outlier_ptc}% of the points as outliers."
f"DI detected > {outlier_ptc}% of the points as outliers."
f"Keeping original dataset."
)
return