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Enable loading model from <1.0.0 trained with objective='binary:logitraw' (#6517) (#6524)

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* Enable loading model from <1.0.0 trained with objective='binary:logitraw'

* Add binary:logitraw in model compatibility testing suite

* Feedback from @trivialfis: Override ProbToMargin() for LogisticRaw

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>

Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
This commit is contained in:
Jiaming Yuan
2020-12-18 04:10:09 +08:00
committed by GitHub
parent c5f0cdbc72
commit 8be2cd8c91
5 changed files with 45 additions and 21 deletions
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4
R-package/tests/testthat/test_model_compatibility.R
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@@ -39,6 +39,10 @@ run_booster_check <- function (booster, name) {
testthat::expect_equal(config$learner$learner_train_param$objective, 'multi:softmax')
testthat::expect_equal(as.numeric(config$learner$learner_model_param$num_class),
metadata$kClasses)
} else if (name == 'logitraw') {
testthat::expect_equal(get_num_tree(booster), metadata$kForests * metadata$kRounds)
testthat::expect_equal(as.numeric(config$learner$learner_model_param$num_class), 0)
testthat::expect_equal(config$learner$learner_train_param$objective, 'binary:logitraw')
} else if (name == 'logit') {
testthat::expect_equal(get_num_tree(booster), metadata$kForests * metadata$kRounds)
testthat::expect_equal(as.numeric(config$learner$learner_model_param$num_class), 0)