xgboost是一种常用的机器学习算法库,用于梯度提升树模型的训练和预测。在xgboost中,gpu hist是一种加速算法,它利用GPU进行直方图的计算,以提高训练速度。 然而,TPU(Tensor Processing Unit)是Google开发的一种专用硬件加速器,用于机器学习和人工智能任务。与GPU相比,TPU在某些情况下可以提供更高的性能和效...
0)会自动拆箱为int类型再进行比较，显然返回true； 2、两个Integer类型进行“==”比较，如果其值在-128至127，那么返回true，否则返回false, 这跟Integer.valueOf()的缓冲对象有关，这里不进行赘述。 3、两个基本型的封装型进行equals()比较，首先equals()会比较类型，如果类型相同，则继续比较值，如果值 ...
I have identified the performance bottleneck of the 'hist' algorithm and put it in a small repository:hcho3/xgboost-fast-hist-perf-lab. You can try to improve the performance by revisingsrc/build_hist.cc. Some ideas Change the data matrix layout fromCSRto other layouts such asellpack ...
xgb_reg = xgboost.XGBRegressor(objective='reg:squarederror', …, tree_method='hist') %%time model = XGBClassifier(tree_method='hist') model.fit(X_train, y_train) CPU times: user 8min 1s, sys: 5.94 s, total: 8min 7s Wall time: 8min 6s XGBClassifier(base_score=0.5, booster='gbtree...
updater_quantile_hist.h tests/cpp/predictor test_cpu_predictor.cc 13 changes: 8 additions & 5 deletions13include/xgboost/tree_updater.h Original file line numberDiff line numberDiff line change Expand Up@@ -70,11 +70,14 @@ class TreeUpdater : public Configurable { ...