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Currently (in #295) BikeDataset normalises its y-values on initialisation as y /= y.mean(). Investigate whether this is correct - should we instead use y = (y - y.mean()) / y_std), or should we not be normalising at all and instead using the @NormaliseY decorator?
Check not using a non-zero constant mean.
The text was updated successfully, but these errors were encountered:
What's the issue?
Currently (in #295) BikeDataset normalises its y-values on initialisation as
y /= y.mean()
. Investigate whether this is correct - should we instead usey = (y - y.mean()) / y_std)
, or should we not be normalising at all and instead using the@NormaliseY
decorator?Check not using a non-zero constant mean.
The text was updated successfully, but these errors were encountered: