xgboost-master

Directory: Mathimatics-Numerical algorithms
Plat: Python
Size: 1155KB
Downloads: 3
Upload time: 2018-04-16 22:26:02
Uploader: 水木黄昏
Description:   xgboost,based python,a good toolbox

File list:
xgboost-master, 0 , 2016-01-02
xgboost-master\.gitignore, 735 , 2016-01-02
xgboost-master\.travis.yml, 1063 , 2016-01-02
xgboost-master\appveyor.yml, 877 , 2016-01-02
xgboost-master\build.sh, 1175 , 2016-01-02
xgboost-master\CHANGES.md, 2136 , 2016-01-02
xgboost-master\CONTRIBUTORS.md, 3443 , 2016-01-02
xgboost-master\demo, 0 , 2016-01-02
xgboost-master\demo\.gitignore, 15 , 2016-01-02
xgboost-master\demo\binary_classification, 0 , 2016-01-02
xgboost-master\demo\binary_classification\agaricus-lepiota.data, 373704 , 2016-01-02
xgboost-master\demo\binary_classification\agaricus-lepiota.fmap, 2202 , 2016-01-02
xgboost-master\demo\binary_classification\agaricus-lepiota.names, 6816 , 2016-01-02
xgboost-master\demo\binary_classification\mapfeat.py, 1176 , 2016-01-02
xgboost-master\demo\binary_classification\mknfold.py, 498 , 2016-01-02
xgboost-master\demo\binary_classification\mushroom.conf, 947 , 2016-01-02
xgboost-master\demo\binary_classification\README.md, 9124 , 2016-01-02
xgboost-master\demo\binary_classification\runexp.sh, 612 , 2016-01-02
xgboost-master\demo\data, 0 , 2016-01-02
xgboost-master\demo\data\agaricus.txt.test, 182854 , 2016-01-02
xgboost-master\demo\data\agaricus.txt.train, 739162 , 2016-01-02
xgboost-master\demo\data\featmap.txt, 3203 , 2016-01-02
xgboost-master\demo\data\README.md, 132 , 2016-01-02
xgboost-master\demo\guide-python, 0 , 2016-01-02
xgboost-master\demo\guide-python\basic_walkthrough.py, 2715 , 2016-01-02
xgboost-master\demo\guide-python\boost_from_prediction.py, 1002 , 2016-01-02
xgboost-master\demo\guide-python\cross_validation.py, 2198 , 2016-01-02
xgboost-master\demo\guide-python\custom_objective.py, 1807 , 2016-01-02
xgboost-master\demo\guide-python\evals_result.py, 938 , 2016-01-02
xgboost-master\demo\guide-python\external_memory.py, 886 , 2016-01-02
xgboost-master\demo\guide-python\generalized_linear_model.py, 1228 , 2016-01-02
xgboost-master\demo\guide-python\predict_first_ntree.py, 769 , 2016-01-02
xgboost-master\demo\guide-python\predict_leaf_indices.py, 657 , 2016-01-02
xgboost-master\demo\guide-python\README.md, 694 , 2016-01-02
xgboost-master\demo\guide-python\runall.sh, 330 , 2016-01-02
xgboost-master\demo\guide-python\sklearn_evals_result.py, 1218 , 2016-01-02
xgboost-master\demo\guide-python\sklearn_examples.py, 2466 , 2016-01-02
xgboost-master\demo\guide-python\sklearn_parallel.py, 1297 , 2016-01-02
xgboost-master\demo\kaggle-higgs, 0 , 2016-01-02
xgboost-master\demo\kaggle-higgs\higgs-cv.py, 1447 , 2016-01-02
xgboost-master\demo\kaggle-higgs\higgs-numpy.py, 1733 , 2016-01-02
xgboost-master\demo\kaggle-higgs\higgs-pred.py, 1166 , 2016-01-02
xgboost-master\demo\kaggle-higgs\higgs-pred.R, 710 , 2016-01-02
xgboost-master\demo\kaggle-higgs\higgs-train.R, 1101 , 2016-01-02
xgboost-master\demo\kaggle-higgs\README.md, 1039 , 2016-01-02
xgboost-master\demo\kaggle-higgs\run.sh, 229 , 2016-01-02
xgboost-master\demo\kaggle-higgs\speedtest.py, 2067 , 2016-01-02
xgboost-master\demo\kaggle-higgs\speedtest.R, 1975 , 2016-01-02
xgboost-master\demo\kaggle-otto, 0 , 2016-01-02
xgboost-master\demo\kaggle-otto\otto_train_pred.R, 1231 , 2016-01-02
xgboost-master\demo\kaggle-otto\README.MD, 667 , 2016-01-02
xgboost-master\demo\kaggle-otto\understandingXGBoostModel.Rmd, 9837 , 2016-01-02
xgboost-master\demo\multiclass_classification, 0 , 2016-01-02
xgboost-master\demo\multiclass_classification\README.md, 265 , 2016-01-02
xgboost-master\demo\multiclass_classification\runexp.sh, 301 , 2016-01-02
xgboost-master\demo\multiclass_classification\train.py, 1569 , 2016-01-02
xgboost-master\demo\rank, 0 , 2016-01-02
xgboost-master\demo\rank\mq2008.conf, 754 , 2016-01-02
xgboost-master\demo\rank\README.md, 839 , 2016-01-02
xgboost-master\demo\rank\runexp.sh, 271 , 2016-01-02
xgboost-master\demo\rank\trans_data.py, 1189 , 2016-01-02
xgboost-master\demo\rank\wgetdata.sh, 150 , 2016-01-02
xgboost-master\demo\README.md, 2367 , 2016-01-02
xgboost-master\demo\regression, 0 , 2016-01-02
xgboost-master\demo\regression\machine.conf, 967 , 2016-01-02
xgboost-master\demo\regression\machine.data, 8726 , 2016-01-02
xgboost-master\demo\regression\machine.names, 2903 , 2016-01-02
xgboost-master\demo\regression\mapfeat.py, 723 , 2016-01-02
xgboost-master\demo\regression\mknfold.py, 498 , 2016-01-02
xgboost-master\demo\regression\README.md, 1115 , 2016-01-02
xgboost-master\demo\regression\runexp.sh, 695 , 2016-01-02
xgboost-master\demo\yearpredMSD, 0 , 2016-01-02
xgboost-master\demo\yearpredMSD\csv2libsvm.py, 333 , 2016-01-02
xgboost-master\demo\yearpredMSD\README.md, 440 , 2016-01-02
xgboost-master\demo\yearpredMSD\runexp.sh, 649 , 2016-01-02
xgboost-master\demo\yearpredMSD\yearpredMSD.conf, 998 , 2016-01-02
xgboost-master\doc, 0 , 2016-01-02
xgboost-master\doc\.gitignore, 43 , 2016-01-02
xgboost-master\doc\build.md, 2644 , 2016-01-02
xgboost-master\doc\conf.py, 5626 , 2016-01-02
xgboost-master\doc\dev-guide, 0 , 2016-01-02
xgboost-master\doc\dev-guide\contribute.md, 653 , 2016-01-02
xgboost-master\doc\external_memory.md, 1824 , 2016-01-02
xgboost-master\doc\faq.md, 3053 , 2016-01-02
xgboost-master\doc\img, 0 , 2016-01-02
xgboost-master\doc\img\cart.png, 179620 , 2016-01-02
xgboost-master\doc\img\split_find.png, 45878 , 2016-01-02
xgboost-master\doc\img\step_fit.png, 63274 , 2016-01-02
xgboost-master\doc\img\struct_score.png, 74656 , 2016-01-02
xgboost-master\doc\img\twocart.png, 102756 , 2016-01-02
xgboost-master\doc\index.md, 4240 , 2016-01-02
xgboost-master\doc\input_format.md, 3264 , 2016-01-02
xgboost-master\doc\Makefile, 7405 , 2016-01-02
xgboost-master\doc\model.md, 14271 , 2016-01-02
xgboost-master\doc\parameter.md, 8272 , 2016-01-02
xgboost-master\doc\param_tuning.md, 2274 , 2016-01-02
xgboost-master\doc\python, 0 , 2016-01-02
xgboost-master\doc\python\python_api.rst, 1098 , 2016-01-02
xgboost-master\doc\python\python_intro.md, 5109 , 2016-01-02
xgboost-master\doc\README, 362 , 2016-01-02

Download users:

Relate files:

Comment: Add Comment

Favorite users: