Given a sits tibble time series and a model trained by sits_train
,
returns a predicted label. Note that this function is
called inside sits_classify
,
and sits_classify_raster
, so the user does not need
to explicitly use it. Please see the above-mentioned classification functions.
.sits_predict(distances_DT = NULL, ml_model, ...)
Set of distance metrics to each of the classes.
Model trained by sits_train
.
Other parameters to be passed to the model function.
A vector of predicted labels.