liana.method.sp.RandomForestModel

class liana.method.sp.RandomForestModel(seed, **kwargs)

Random forest model (from sklearn) using out-of-bag predictions for feature importances. Inherits from SingleViewModel

Methods table

fit(y, X, predictors[, k_cv])	Fits a Random Forest (RF) model.
getdoc()

Methods

RandomForestModel.fit(y, X, predictors, k_cv=None)

Fits a Random Forest (RF) model.

Parameters:

• y (ndarray) – Target variable

• X (ndarray) – Feature matrix

• predictors (list[str]) – List of feature names

• k_cv (int (default: None)) – Not used

RandomForestModel.getdoc() → str | None