登录
注册
开源
企业版
高校版
搜索
帮助中心
使用条款
关于我们
开源
企业版
高校版
私有云
模力方舟
我知道了
查看详情
登录
注册
代码拉取完成，页面将自动刷新
捐赠
捐赠前请先登录
取消
前往登录
扫描微信二维码支付
取消
支付完成
支付提示
将跳转至支付宝完成支付
确定
取消
Watch
不关注
关注所有动态
仅关注版本发行动态
关注但不提醒动态
2
Star
2
Fork
3
Kunpeng
/
Spark-ml-algo-lib
代码
Issues
0
Pull Requests
0
Wiki
统计
流水线
服务
Gitee Pages
JavaDoc
PHPDoc
质量分析
Jenkins for Gitee
腾讯云托管
腾讯云 Serverless
悬镜安全
阿里云 SAE
Codeblitz
我知道了，不再自动展开
发行版
最新版
v3.0.0-Spark3.3.1
f41031f
2023-12-28 20:21
对比
Spark-ml-algo-lib-Spark3.3.1 v3.0.0
wyy566
# Overview The library provides 4 machine learning algorithms: Density-based spatial clustering of applicaitons with noise (DBSCAN), Support Vector Machines(SVM), decision tree bucket(DTB) and Word2Vec. You can find the latest documentation on the project web page. This README file contains only basic setup instructions. You can find the latest documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions. # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added new machine learning algorithms DBSCAN, SVM, DTB and Word2Vec in Spark 3.3.1. -patch: Released a patch for the library.
最后提交信息为：
!9
Update version to Spark3.3.1v3.0.0
v2.2.0-spark3.1.1
5a10705
2022-12-15 10:01
对比
Spark-ml-algo-lib-Spark3.1.1 v2.2.0
wyy566
# Overview In this version, the library provides 10 machine learning algorithms: latent dirichlet allocation (LDA), prefix-projected pattern prowth (Prefix-Span), alternating least squares (ALS), K-nearest neighbors (KNN), Density-based spatial clustering of applicaitons with noise (DBSCAN), random forest classifier (RFC), gradient boosting decision tree (GBDT), decision tree (DT), decision tree bucket(DTB) and Word2Vec. # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added new machine learning algorithms random forest classifier (RFC), gradient boosting decision tree (GBDT), decision tree (DT), decision tree bucket(DTB) and Word2Vec. -patch: Released a patch for the library.
最后提交信息为：
!4
add new algorithm and updata the version number to 2.2.0
v2.2.0-spark2.4.6
14174b9
2022-12-15 09:59
对比
Spark-ml-algo-lib-Spark2.4.6 v2.2.0
wyy566
# Overview In this version, the library provides 23 machine learning algorithms: support vector machine (SVM), random forest classifier (RFC), gradient boosting decision tree (GBDT), decision tree (DT), K-means clustering, linear regression, logistic regression algorithm, principal component analysis (PCA), principal component analysis for Sparse Matrix(SPCA), singular value decomposition (SVD), latent dirichlet allocation (LDA), prefix-projected pattern prowth (Prefix-Span), alternating least squares (ALS), K-nearest neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, XGboost, Inverse Document Frequency(IDF), SimRank, Decision Tree Bucket(DTB) and Word2Vec. # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added new machine learning algorithms Decision Tree Bucket(DTB) and Word2Vec. -patch: Released a patch for the library.
最后提交信息为：
!3
add new algorithm DTB and Word2Vec and updata the version number...
v2.2.0-spark2.3.2
bc77153
2022-12-15 09:55
对比
Spark-ml-algo-lib-Spark2.3.2 v2.2.0
wyy566
# Overview In this version, the library provides 23 machine learning algorithms: support vector machine (SVM), random forest classifier (RFC), gradient boosting decision tree (GBDT), decision tree (DT), K-means clustering, linear regression, logistic regression algorithm, principal component analysis (PCA), principal component analysis for Sparse Matrix(SPCA), singular value decomposition (SVD), latent dirichlet allocation (LDA), prefix-projected pattern prowth (Prefix-Span), alternating least squares (ALS), K-nearest neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, XGboost, Inverse Document Frequency(IDF), SimRank, Decision Tree Bucket(DTB) and Word2Vec. # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added new machine learning algorithms Decision Tree Bucket(DTB) and Word2Vec. -patch: Released a patch for the library.
最后提交信息为：
!2
add new algorithm DTB and Word2Vec and updata the version number...
v2.1.0-spark3.1.1
875866b
2022-09-01 11:56
对比
Spark-ml-algo-lib-Spark3.1.1 v2.1.0
wyy566
# Overview In this version, the library provides 5 machine learning algorithms: latent dirichlet allocation (LDA), prefix-projected pattern prowth (Prefix-Span), alternating least squares (ALS), K-nearest neighbors (KNN), Density-based spatial clustering of applicaitons with noise (DBSCAN). # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added Spark machine learning algorithms. -doc: Added an introduction to the library. -patch: Released a patch for the library.
最后提交信息为：
adapt to Spark 3.1.1
v2.1.0-spark2.4.6
97c67f2
2022-09-01 11:02
对比
Spark-ml-algo-lib-Spark2.4.6 v2.1.0
wyy566
# Overview In this version, the library provides 21 common learning algorithms based on Spark2.3,2: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA), principal component analysis for Sparse Matrix(SPCA) and singular value decomposition (SVD), Latent Dirichlet Allocation (LDA), Prefix-Projected Pattern Growth (PrefixSpan), Alternating Least Squares (ALS), K-Nearest Neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, XGboost, Inverse Document Frequency(IDF), and SimRank. The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and three new machine learning algorithms: -feature: Added three machine learning algorithms. -patch: Released a patch based for the library. -jar: Released 4 jars based on Centos7.6 and Spark2.4.6.
最后提交信息为：
Merge pull request #36 from wyy566/Spark2.4.6
v2.1.0-spark2.3.2
3d90485
2022-09-01 10:54
对比
Spark-ml-algo-lib-Spark2.3.2 v2.1.0
wyy566
# Overview In this version, the library provides 21 common learning algorithms based on Spark2.3,2: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA), principal component analysis for Sparse Matrix(SPCA) and singular value decomposition (SVD), Latent Dirichlet Allocation (LDA), Prefix-Projected Pattern Growth (PrefixSpan), Alternating Least Squares (ALS), K-Nearest Neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, XGboost, Inverse Document Frequency(IDF), and SimRank. The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and three new machine learning algorithms: -feature: Added three machine learning algorithms. -patch: Released a patch based for the library. -jar: Released 4 jars based on Centos7.6 and Spark2.3.2.
最后提交信息为：
Merge pull request #37 from wyy566/master
v1.3.0-spark2.4.6
38369bc
2022-09-01 10:46
对比
Spark-ml-algo-lib-spark2.4.6 v1.3.0
wyy566
# Overview In this version, the library provides 18 common learning algorithms based on Spark2.4,6: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA) and singular value decomposition (SVD), Latent Dirichlet Allocation (LDA), Prefix-Projected Pattern Growth (PrefixSpan), Alternating Least Squares (ALS), K-Nearest Neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, and XGboost. The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and five new machine learning algorithms: -feature: Added five machine learning algorithms. -patch: Released a patch based for the library. -jar: Released 4 jars based on Centos7.6 and Spark2.4.6.
最后提交信息为：
v1.3.0 (#27)
v1.3.0-spark2.3.2
4f7d34c
2022-09-01 10:36
对比
Spark-ml-algo-lib-spark2.3.2 v1.3.0
wyy566
# Overview In this version, the library provides 18 common learning algorithms based on Spark2.3,2: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA) and singular value decomposition (SVD), Latent Dirichlet Allocation (LDA), Prefix-Projected Pattern Growth (PrefixSpan), Alternating Least Squares (ALS), K-Nearest Neighbors (KNN), Covariance, Density-based spatial clustering of applicaitons with noise (DBSCAN), Pearson, Spearman, and XGboost. The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and five new machine learning algorithms: -feature: Added five machine learning algorithms. -patch: Released a patch based for the library. -jar: Released 4 jars based on Centos7.6 and Spark2.3.2.
最后提交信息为：
v1.3.0 (#28)
v1.2.0
b954f92
2022-09-01 10:24
对比
Spark-ml-algo-lib v1.2.0
wyy566
# Overview In this version, the library provides nine common learning algorithms: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA) and singular value decomposition (SVD), Latent Dirichlet Allocation (LDA), Prefix-Projected Pattern Growth (PrefixSpan), Alternating Least Squares (ALS), K-Nearest Neighbors (KNN). The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and four new machine learning algorithms: -feature: Added four machine learning algorithms. -patch: Released a patch based for the library.
最后提交信息为：
Merge pull request #24 from moy777/master
v1.1.0
8b87450
2022-09-01 10:22
对比
Spark-ml-algo-lib v1.1.0
wyy566
# Overview In this version, the library provides nine common learning algorithms: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), k-means, decision tree, linear regression, logistic regression, principle component analysis (PCA) and singular value decomposition (SVD). The library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes a patch and six new machine learning algorithms: -feature: Added six machine learning algorithms. -patch: Released a patch based on the differences between the current and previous versions.
最后提交信息为：
updated README (#22)
v1.0.0
45eb022
2022-09-01 10:18
对比
Spark-ml-algo-lib v1.0.0
wyy566
# Overview In this version, the library provides three common learning algorithms: support vector machine (SVM), random forest classifier (RFC), and gradient boosting decision tree (GBDT). This library is optimized based on open-source Spark machine learning algorithms and provides required JAR files. # Changes This release includes new machine learning algorithms, an introduction to the library, and a patch: -feature: Added Spark machine learning algorithms. -doc: Added an introduction to the library. -patch: Released a patch for the library.
最后提交信息为：
Merge pull request #12 from Jutao-liu/master
下载
请输入验证码，防止盗链导致资源被占用
取消
下载
1
https://gitee.com/kunpengcompute/Spark-ml-algo-lib.git
git@gitee.com:kunpengcompute/Spark-ml-algo-lib.git
kunpengcompute
Spark-ml-algo-lib
Spark-ml-algo-lib
点此查找更多帮助
搜索帮助
Git 命令在线学习
如何在 Gitee 导入 GitHub 仓库
Git 仓库基础操作
企业版和社区版功能对比
SSH 公钥设置
如何处理代码冲突
仓库体积过大，如何减小？
如何找回被删除的仓库数据
Gitee 产品配额说明
GitHub仓库快速导入Gitee及同步更新
什么是 Release（发行版）
将 PHP 项目自动发布到 packagist.org
评论
仓库举报
回到顶部
登录提示
该操作需登录 Gitee 帐号，请先登录后再操作。
立即登录
没有帐号，去注册
