liana.method.sp.RandomForestModel

Contents

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 | None (default: None): Not used

Return type:

RandomForestModel.getdoc() → str | None#