Shows the one-screen summary of a gwr_fit, a bayesian_fit or a
custom subclass: backend, formula, number of observations, CRS, and the few
backend-specific numbers worth seeing immediately (GWR bandwidth, GP basis
size). An rf_fit has its own method (see
print.rf_fit), which shows the same header plus the forest
settings. It is what you get by typing the object's name, and the quickest
way to confirm a fit used the data, predictors and CRS you meant. For fit
quality use model_metrics() or summary()
instead. Nothing printed here is an out-of-sample score.
Usage
# S3 method for class 'spatial_fit'
print(x, ...)See also
Other methods on a fitted model:
coef.bayesian_fit(),
coef.gwr_fit(),
coef.rf_fit(),
fitted.bayesian_fit(),
fitted.gwr_fit(),
fitted.rf_fit(),
model_metrics(),
predict.bayesian_fit(),
predict.gwr_fit(),
predict.rf_fit(),
print.rf_fit(),
residuals.bayesian_fit(),
residuals.gwr_fit(),
residuals.rf_fit(),
summary.spatial_fit()