AverageEstimators#
- class sdm.processing.output.AverageEstimators(*, trim_fraction: float = 0.0)#
Bases:
EnsembleProcessorReduce the leading ensemble dimension of model outputs.
Inputs must be a numerical output table with shape
[E, ...], whereEis the non-empty leading ensemble dimension.- Parameters:
trim_fraction (float) – Fraction of estimators discarded from each tail after sorting each output coordinate, in
[0, 0.5). This can make the aggregation less sensitive to outlying estimator predictions.
Capabilities#
Handled Semantic Types |
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Requires Fitting |
❌ |