test

object of the class <code>input_data</code> created with input_data()

object of the class <code>CP_model</code> or <code>Tucker_model</code> created with mk_model()

extra parameters passed to test_CP or test_Tucker

This is just a wrapper that calls test_CP or test_Tucker depending on the type of model provided.

BaTFLED is a machine learning algorithm designed to make predictions and determine interactions in data that varies along three independent modes. For example BaTFLED was developed to predict the growth of cell lines when treated with drugs at different doses. The first mode corresponds to cell lines and incorporates predictors such as cell line genomics and growth conditions. The second mode corresponds to drugs and incorporates predictors indicating known targets and structural features. The third mode corresponds to dose and there are no dose-specific predictors (although the algorithm is capable of including predictors for the third mode if present). See 'BaTFLED3D_vignette.rmd' for a simulated example.

test: Get test predictions for a 3D BaTFLED model.

Description

Usage

Arguments

Value