tests/testthat/test_categorical_resource.R

In tlverse/tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment

context("Test resource constrained categorical rule")

library(uuid)
library(R6)
library(sl3)
library(data.table)
library(tmle3mopttx)
library(tmle3)
#library(devtools)
#load_all()

set.seed(1234)

data("data_cat")
data <- data_cat

xgboost_10 <- Lrnr_xgboost$new(nrounds = 10)
xgboost_50 <- Lrnr_xgboost$new(nrounds = 50)
lrn1 <- Lrnr_mean$new()
lrn2 <- Lrnr_glm_fast$new()

Q_learner <- Lrnr_sl$new(
  learners = list(lrn1, lrn2),
  metalearner = Lrnr_nnls$new()
)

mn_metalearner <- make_learner(Lrnr_solnp, tol=1e-5,
                               eval_function = loss_loglik_multinomial,
                               learner_function = metalearner_linear_multinomial
)

g_learner <- make_learner(Lrnr_sl, list(xgboost_10, xgboost_50, lrn1), mn_metalearner)

# Define the Blip learner, which is a multivariate learner:
learners <- list(lrn1, xgboost_10, xgboost_50)
b_learner <- create_mv_learners(learners = learners)

learner_list <- list(Y = Q_learner, A = g_learner, B = b_learner)

# Define nodes:
node_list <- list(W = c("W1", "W2", "W3", "W4"), A = "A", Y = "Y")

test_that("Categoical resource constraint", {
  tmle_spec <- tmle3_mopttx_blip_revere(
    V = c("W1", "W2", "W3", "W4"), type = "blip2",
    learners = learner_list, maximize = TRUE, reference = 2,
    complex = TRUE, realistic = TRUE, interpret=FALSE, 
    resource=c(1,1,0.5)
  )
  
  #tmle_task <- tmle_spec$make_tmle_task(data, node_list)
  #initial_likelihood <- tmle_spec$make_initial_likelihood(tmle_task, learner_list)
  #updater <- tmle_spec$make_updater()
  #targeted_likelihood <- tmle_spec$make_targeted_likelihood(initial_likelihood, updater)
  #tmle_params <- tmle_spec$make_params(tmle_task, likelihood=targeted_likelihood)
 
  #fit <- fit_tmle3(tmle_task, targeted_likelihood, tmle_params, updater)
  
  fit <- tmle3(tmle_spec, data, node_list, learner_list)
  expect_equal(sum(tmle_spec$return_rule), 2076, tolerance = 100)

})