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Update README.md
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Added description of clamping feature in config.yaml
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SimonKamuk authored Dec 16, 2024
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Expand Up @@ -148,12 +148,22 @@ training:
values:
u100m: 1.0
v100m: 1.0
t2m: 1.0
r2m: 1.0
output_clamping:
lower:
t2m: 0.0
r2m: 0
upper:
r2m: 100.0
```
For now the neural-lam config only defines two things: 1) the kind of data
store and the path to its config, and 2) the weighting of different features in
the loss function. If you don't define the state feature weighting it will default
to weighting all features equally.
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
weighting all features equally. The numerical range of all features default
to $]-\infty, \infty[$.
(This example is taken from the `tests/datastore_examples/mdp` directory.)

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