xing89qs / GBRT-RF-Java
Java版的GBRT及RF,曾在天池大数据竞赛中获得2次TOP10
☆12Updated 8 years ago
Alternatives and similar repositories for GBRT-RF-Java:
Users that are interested in GBRT-RF-Java are comparing it to the libraries listed below
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- ☆12Updated 8 years ago
- Notes on Logistic Regression and OWLQN☆26Updated 8 years ago
- 天池菜鸟-需求预测与分仓规划第二赛季代码☆37Updated 7 years ago
- 我的数据挖掘比赛打怪之路☆26Updated 6 years ago
- ☆27Updated 7 years ago
- 通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线☆26Updated 7 years ago
- CCF_大数据精准营销中搜狗用户画像挖掘☆17Updated 8 years ago
- A Java implementation of libFM(Factorization Machine Library)☆39Updated last year
- 数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践☆82Updated 8 years ago
- News recommendation system based on spark.☆47Updated 8 years ago
- 2016CCF-sougou-code&PPT☆55Updated 8 years ago
- 阿里巴巴大数据竞赛(http://102.alibaba.com/competition/addDiscovery/index.htm )☆9Updated 11 years ago
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- this is my presentaion area .个人演讲稿展示区,主要展示一些平时的个人演讲稿或者心得之类的,☆57Updated 4 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- The project implemented some machine learning algorithms on spark which is written in scala and it also included standalone implementatio…☆15Updated 3 years ago
- easyrec☆51Updated 12 years ago
- gdbt implement by scikit-learn☆25Updated 7 years ago
- 主要解决ctr预估工程中的特征选择,特征编号(特征离散),单特征auc和logloss这3个问题.☆20Updated 8 years ago
- ATEC蚂蚁开发者大赛-风险大脑-支付风险识别☆18Updated 6 years ago
- spark,NLP,新词发现,自然语言处理☆23Updated 7 years ago
- 第一届腾讯社交广告算法大赛☆40Updated 7 years ago
- JData算法大赛☆31Updated 7 years ago
- 基于用户行为的推荐算法大赛---第四名(临兵斗列)☆41Updated 8 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- 高校计算机大赛 快手活跃用户预测 最终rank15☆11Updated 6 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆63Updated 7 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆68Updated 6 years ago
- xgboost在线预测☆30Updated 7 years ago