sim_matrix¶

hyppo.independence.
sim_matrix
(model, x)¶ Computes the similarity matrix from a random forest.
The model used must follow the scikitlearn API. That is, the model is a random forest class and is already trained (use
fit
) before running this function. Also,apply
must be used to push input data down the trained forest. Seesklearn.ensemble.RandomForestClassifier
andsklearn.ensemble.RandomForestRegressor
for similar classes. Parameters
model (
class
)  A trained random forest object for which the similarity matrix will be calculated.x (
ndarray
)  Input data matrice.x
must have shape must be(n, p)
where n is the number of samples and p are the number of dimensions.
 Returns
proxMat (
ndarray
)  The proximity matrix induced by random kernel.