liana.method.sp.LinearModel

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

Linear regression model using statsmodels.OLS for feature importances, and cross_val_predict with sklearn.LinearRegression for predictions. Inherits from SingleViewModel

Methods table

fit(y, X, predictors[, k_cv])	Fits a Linear Model (LM) model.
getdoc()

Methods

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

Fits a Linear Model (LM) model.

Parameters:

y ndarray

Target variable

X ndarray

Feature matrix

predictors list[str]

List of feature names

k_cv int | None (default: None)

Number of cross-validation folds. If None, no cross-validation is performed.

Return type:

None

LinearModel.getdoc() → str | None