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Simon Kamuk Christiansen committed Dec 17, 2024
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Expand Up @@ -160,8 +160,8 @@ training:
For now the neural-lam config only defines few things: 1) the kind of data
store and the path to its config, 2) the weighting of different features in
the loss function, and 3) valid numerical range for output of each feature.
If you don't define the state feature weighting it will default to
the loss function, and 3) valid numerical range for output of each feature.
If you don't define the state feature weighting it will default to
weighting all features equally. The numerical range of all features default
to $]-\infty, \infty[$.
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