[MT-TREE] Support prediction cache and model slicing. (#8968)
- Fix prediction range. - Support prediction cache in mt-hist. - Support model slicing. - Make the booster a Python iterable by defining `__iter__`. - Cleanup removed/deprecated parameters. - A new field in the output model `iteration_indptr` for pointing to the ranges of trees for each iteration.
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@@ -1,5 +1,5 @@
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/*!
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* Copyright 2017-2022 XGBoost contributors
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/**
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* Copyright 2017-2023, XGBoost contributors
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*/
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#include <gtest/gtest.h>
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#include <xgboost/c_api.h>
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@@ -155,7 +155,7 @@ TEST(GPUPredictor, ShapStump) {
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std::vector<std::unique_ptr<RegTree>> trees;
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trees.push_back(std::unique_ptr<RegTree>(new RegTree));
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model.CommitModel(std::move(trees), 0);
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model.CommitModelGroup(std::move(trees), 0);
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auto gpu_lparam = CreateEmptyGenericParam(0);
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std::unique_ptr<Predictor> gpu_predictor = std::unique_ptr<Predictor>(
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@@ -183,7 +183,7 @@ TEST(GPUPredictor, Shap) {
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std::vector<std::unique_ptr<RegTree>> trees;
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trees.push_back(std::unique_ptr<RegTree>(new RegTree));
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trees[0]->ExpandNode(0, 0, 0.5, true, 1.0, -1.0, 1.0, 0.0, 5.0, 2.0, 3.0);
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model.CommitModel(std::move(trees), 0);
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model.CommitModelGroup(std::move(trees), 0);
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auto gpu_lparam = CreateEmptyGenericParam(0);
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auto cpu_lparam = CreateEmptyGenericParam(-1);
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