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Fix TSNormalize to handle cases where max == min by setting output to the lower bound of the target range #943

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Fix TSNormalize to handle cases where max == min by setting output to the lower bound of the target range #943

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7 changes: 6 additions & 1 deletion tsai/data/preprocessing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -292,7 +292,12 @@ def encodes(self, o:TSTensor):
else:
_min, _max = o.mul_min(self.axes, keepdim=self.axes!=()), o.mul_max(self.axes, keepdim=self.axes!=())
self.min, self.max = _min, _max
output = ((o - self.min) / (self.max - self.min)) * (self.range_max - self.range_min) + self.range_min
diff = (self.max - self.min)
output = torch.where(
diff != 0,
((o - self.min) / diff) * (self.range_max - self.range_min) + self.range_min,
torch.tensor(self.range_min, dtype=o.dtype, device=o.device),
)
if self.clip_values:
if self.by_var and is_listy(self.by_var):
for v in self.by_var:
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