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If using fit_normalizer=True during variogram estimation, one can't access the fitted normalizer afterwards (in v1.3.0rc2):
fit_normalizer=True
bin_center, gamma = gs.vario_estimate((x, y), field, normalizer=gs.normalizer.BoxCox, fit_normalizer=True)
It should return the fitted normalizer as well, when fitting it:
bin_center, gamma, normalizer = gs.vario_estimate((x, y), field, normalizer=gs.normalizer.BoxCox, fit_normalizer=True)
In order to use it afterwards in SRF or Krige.
SRF
Krige
The text was updated successfully, but these errors were encountered:
MuellerSeb
Successfully merging a pull request may close this issue.
If using
fit_normalizer=True
during variogram estimation, one can't access the fitted normalizer afterwards (in v1.3.0rc2):It should return the fitted normalizer as well, when fitting it:
In order to use it afterwards in
SRF
orKrige
.The text was updated successfully, but these errors were encountered: