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Fix loading old model. #5724

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merged 3 commits into from
May 31, 2020
Merged

Fix loading old model. #5724

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f33e3b5
Fix loading old model.
trivialfis May 28, 2020
107d21a
Fix prefix.
trivialfis May 30, 2020
f05fe23
Add test.
trivialfis May 30, 2020
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20 changes: 14 additions & 6 deletions src/learner.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -694,15 +694,23 @@ class LearnerIO : public LearnerConfiguration {
warn_old_model = false;
}

if (mparam_.major_version >= 1) {
learner_model_param_ = LearnerModelParam(mparam_,
obj_->ProbToMargin(mparam_.base_score));
} else {
if (mparam_.major_version < 1) {
// Before 1.0.0, base_score is saved as a transformed value, and there's no version
// attribute in the saved model.
learner_model_param_ = LearnerModelParam(mparam_, mparam_.base_score);
// attribute (saved a 0) in the saved model.
std::string multi{"multi:"};
if (!std::equal(multi.cbegin(), multi.cend(), tparam_.objective.cbegin())) {
HostDeviceVector<float> t;
t.HostVector().resize(1);
t.HostVector().at(0) = mparam_.base_score;
this->obj_->PredTransform(&t);
auto base_score = t.HostVector().at(0);
mparam_.base_score = base_score;
}
warn_old_model = true;
}

learner_model_param_ =
LearnerModelParam(mparam_, obj_->ProbToMargin(mparam_.base_score));
if (attributes_.find("objective") != attributes_.cend()) {
auto obj_str = attributes_.at("objective");
auto j_obj = Json::Load({obj_str.c_str(), obj_str.size()});
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3 changes: 2 additions & 1 deletion tests/pytest.ini
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@@ -1,3 +1,4 @@
[pytest]
markers =
mgpu: Mark a test that requires multiple GPUs to run.
mgpu: Mark a test that requires multiple GPUs to run.
ci: Mark a test that runs only on CI.
4 changes: 4 additions & 0 deletions tests/python/test_model_compatibility.py
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Expand Up @@ -4,6 +4,7 @@
import json
import zipfile
import pytest
import copy


def run_model_param_check(config):
Expand Down Expand Up @@ -124,6 +125,9 @@ def test_model_compatibility():
if name.startswith('xgboost-'):
booster = xgboost.Booster(model_file=path)
run_booster_check(booster, name)
# Do full serialization.
booster = copy.copy(booster)
run_booster_check(booster, name)
elif name.startswith('xgboost_scikit'):
run_scikit_model_check(name, path)
else:
Expand Down