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/**
* Copyright 2019-2023, XGBoost Contributors
*/
#include <gtest/gtest.h>
#include <xgboost/base.h>
#include <xgboost/logging.h>
#include <memory>
#include <string>
#include "../../../src/tree/constraints.h"
#include "../../../src/tree/hist/evaluate_splits.h"
#include "../helpers.h"
namespace xgboost::tree {
TEST(CPUFeatureInteractionConstraint, Empty) {
TrainParam param;
param.UpdateAllowUnknown(Args{});
bst_feature_t constexpr kFeatures = 6;
FeatureInteractionConstraintHost constraints;
constraints.Configure(param, kFeatures);
// no-op
constraints.Split(/*node_id=*/0, /*feature_id=*/2, /*left_id=*/1, /*right_id=*/2);
std::vector<bst_feature_t> h_input_feature_list {0, 1, 2, 3, 4, 5};
common::Span<bst_feature_t> s_input_feature_list = common::Span<bst_feature_t>{h_input_feature_list};
for (auto f : h_input_feature_list) {
constraints.Query(f, 1);
}
// no-op
ASSERT_TRUE(constraints.Query(94389, 12309));
}
TEST(CPUFeatureInteractionConstraint, Basic) {
std::string const constraints_str = R"constraint([[1, 2], [2, 3, 4]])constraint";
std::vector<std::pair<std::string, std::string>> args{
{"interaction_constraints", constraints_str}};
TrainParam param;
param.interaction_constraints = constraints_str;
bst_feature_t constexpr kFeatures = 6;
FeatureInteractionConstraintHost constraints;
constraints.Configure(param, kFeatures);
constraints.Split(/*node_id=*/0, /*feature_id=*/2, /*left_id=*/1, /*right_id=*/2);
std::vector<bst_feature_t> h_input_feature_list{0, 1, 2, 3, 4, 5};
ASSERT_TRUE(constraints.Query(1, 1));
ASSERT_TRUE(constraints.Query(1, 2));
ASSERT_TRUE(constraints.Query(1, 3));
ASSERT_TRUE(constraints.Query(1, 4));
ASSERT_FALSE(constraints.Query(1, 0));
ASSERT_FALSE(constraints.Query(1, 5));
}
TEST(CPUMonoConstraint, Basic) {
std::size_t kRows{64}, kCols{16};
Context ctx;
TrainParam param;
std::vector<std::int32_t> mono(kCols, 1);
I32Array arr;
for (std::size_t i = 0; i < kCols; ++i) {
arr.GetArray().push_back(mono[i]);
}
Json jarr{std::move(arr)};
std::string str_mono;
Json::Dump(jarr, &str_mono);
str_mono.front() = '(';
str_mono.back() = ')';
param.UpdateAllowUnknown(Args{{"monotone_constraints", str_mono}});
auto Xy = RandomDataGenerator{kRows, kCols, 0.0}.GenerateDMatrix(true);
auto sampler = std::make_shared<common::ColumnSampler>(1u);
HistEvaluator evalutor{&ctx, ¶m, Xy->Info(), sampler};
evalutor.InitRoot(GradStats{2.0, 2.0});
SplitEntry split;
split.Update(1.0f, 0, 3.0, false, false, GradStats{1.0, 1.0}, GradStats{1.0, 1.0});
CPUExpandEntry entry{0, 0, split};
RegTree tree{1, static_cast<bst_feature_t>(kCols)};
evalutor.ApplyTreeSplit(entry, &tree);
ASSERT_TRUE(evalutor.Evaluator().has_constraint);
}
} // namespace xgboost::tree
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