Method Save

catboost/private/libs/algo/learn_context.cpp:723–759

}

void TLearnProgress::Save(IOutputStream* s) const {
    CB_ENSURE_INTERNAL(IsFoldsAndApproxDataValid, "Attempt to save TLearnProgress data in inconsistent state");

    ::Save(s, SerializedTrainParams);
    ::Save(s, EnableSaveLoadApprox);
    if (EnableSaveLoadApprox) {
        ui64 foldCount = Folds.size();
        ::Save(s, foldCount);
        for (ui64 i = 0; i < foldCount; ++i) {
            Folds[i].SaveApproxes(s);
        }
        AveragingFold.SaveApproxes(s);
        ::Save(s, AvrgApprox);
    }
    ::SaveMany(
        s,
        TestApprox,
        BestTestApprox,
        CatFeatures,
        FloatFeatures,
        ApproxDimension,
        TreeStruct,
        TreeStats,
        LeafValues,
        ModelShrinkHistory,
        InitTreesSize,
        MetricsAndTimeHistory,
        UsedCtrSplits,
        LearnAndTestQuantizedFeaturesCheckSum,
        SeparateInitModelTreesSize,
        SeparateInitModelCheckSum,
        Rand,
        StartingApprox,
        UsedFeatures,
        UsedFeaturesPerObject
    );
}

void TLearnProgress::Load(IInputStream* s) {
    ::Load(s, SerializedTrainParams);