predict_cvTSLA: Prediction from cross validation

In TSLA: Tree-Guided Rare Feature Selection and Logic Aggregation

Prediction from cross validation

Description

A convenient function to get prediction from the selected tuning parameters by cross validation.

Usage

predict_cvTSLA(
  object,
  X_1_new = NULL,
  X_2_new,
  type = c("response", "link"),
  ...
)

Arguments

object	A fit output from cv.TSLA().
X_1_new	New unpenalized features in matrix form.
X_2_new	New binary features in matrix form.
type	Two options: "response" or "link". The two options only differ for family="logit".
...	Other parameters.

Value

Predictions.

TSLA documentation built on April 4, 2025, 2:14 a.m.