parent
057c762ecd
commit
9e1b29944e
@ -694,15 +694,23 @@ class LearnerIO : public LearnerConfiguration {
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warn_old_model = false;
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}
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if (mparam_.major_version >= 1) {
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learner_model_param_ = LearnerModelParam(mparam_,
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obj_->ProbToMargin(mparam_.base_score));
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} else {
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if (mparam_.major_version < 1) {
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// Before 1.0.0, base_score is saved as a transformed value, and there's no version
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// attribute in the saved model.
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learner_model_param_ = LearnerModelParam(mparam_, mparam_.base_score);
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// attribute (saved a 0) in the saved model.
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std::string multi{"multi:"};
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if (!std::equal(multi.cbegin(), multi.cend(), tparam_.objective.cbegin())) {
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HostDeviceVector<float> t;
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t.HostVector().resize(1);
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t.HostVector().at(0) = mparam_.base_score;
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this->obj_->PredTransform(&t);
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auto base_score = t.HostVector().at(0);
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mparam_.base_score = base_score;
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}
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warn_old_model = true;
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}
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learner_model_param_ =
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LearnerModelParam(mparam_, obj_->ProbToMargin(mparam_.base_score));
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if (attributes_.find("objective") != attributes_.cend()) {
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auto obj_str = attributes_.at("objective");
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auto j_obj = Json::Load({obj_str.c_str(), obj_str.size()});
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@ -1,3 +1,4 @@
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[pytest]
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markers =
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mgpu: Mark a test that requires multiple GPUs to run.
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ci: Mark a test that runs only on CI.
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@ -4,6 +4,7 @@ import generate_models as gm
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import json
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import zipfile
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import pytest
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import copy
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def run_model_param_check(config):
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@ -124,6 +125,9 @@ def test_model_compatibility():
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if name.startswith('xgboost-'):
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booster = xgboost.Booster(model_file=path)
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run_booster_check(booster, name)
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# Do full serialization.
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booster = copy.copy(booster)
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run_booster_check(booster, name)
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elif name.startswith('xgboost_scikit'):
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run_scikit_model_check(name, path)
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else:
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