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Adjusted Package Entry-point

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@@ -282,7 +282,6 @@ class Affine(BaseModel):
times = self.get_times(readings)
Ms = []
weights = []
metrics = []
inputs = ordinates
for transform in self.transforms:
@@ -293,7 +292,10 @@ class Affine(BaseModel):
)
# return NaNs if no valid observations
if np.sum(weights) == 0:
raise ValueError(f"No valid observations for {time}")
return AdjustedMatrix(
matrix=np.nan * np.ones((4, 4)),
pier_correction=np.nan,
)
# zero out statistically 'bad' baselines
weights = self.weight_baselines(baselines=baselines, weights=weights)
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