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1 parent d47afc5 commit cf9b6feCopy full SHA for cf9b6fe
adaptive/learner/average_learner1D.py
@@ -31,7 +31,8 @@ class AverageLearner1D(Learner1D):
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loss_per_interval: callable, optional
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A function that returns the loss for a single interval of the domain.
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If not provided, then a default is used, which uses the scaled distance
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- in the x-y plane as the loss. See the notes for more details.
+ in the x-y plane as the loss. See the notes for more details
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+ of `adaptive.Learner1D` for more details.
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delta : float
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This parameter controls the resampling condition. A point is resampled
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if its uncertainty is larger than delta times the smallest neighboring
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