DataverseLabs / pyinterpolate

Kriging | Poisson Kriging | Variogram Analysis
https://pyinterpolate.readthedocs.io/en/stable/
BSD 3-Clause "New" or "Revised" License
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[Feature] [TheoreticalVariogram] [.autofit()] Add "safe" models as a one available parameter to choose from when checking theoretical models fit #380

Closed SimonMolinsky closed 1 year ago

SimonMolinsky commented 1 year ago

Is your feature request related to a problem? Please describe. The .autofit() method of the TheoreticalVariogram class takes an argument with model types to check which one describes data closely. The argument name Is model_types, and possible parameters are:

There is no key to select only basic and safe model types.

Describe the solution you'd like Add the key safe that later checks those models: ["linear", "power", "spherical"]

Describe alternatives you've considered n/a

Additional context Compare it to the all key,