Description Usage Arguments Value Create model object Fit model if not already fitted Run predictions Save model to the filesystem to be reused without fitting again
View source: R/model_orientated.R
We noticed that orientation is correlated with the ski condition evaluation. Therefore, we tried to take this into account and classify using nivological observations per orientations cluster.
1 2 3 4 5 | OrientatedModel(
name = "MINIROCKET",
orientations = list(c("N", "NE", "NW"), c("S", "SW", "SE"), "T", "E", "W"),
modelClass = MinirocketModel
)
|
name |
character. Model name |
orientations |
list. List of orientations vectors |
modelClass |
func. Model constructor |
OrientatedModel. object
model <- OrientatedModel()
fit(model, classify, scoring) # optionnal run by instructions bellow if needed score <- score(model, ord_score) # optionnal run by instructions bellow if needed
y <- predict_fresh(model) # fit first if model has not been loaded from the filesystem
save_model(model)
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