Updated the machine learning algorithm library to 3.0.0.
The algorithm library is compatible with Spark 3.3.1 and supports DBSCAN, Word2Vec, DTB, and SVM algorithms.
2022-12-30
This issue is the thirteenth official release.
Added Release Notes and Version Mapping.
Updated Technical White Paper, Feature Guide, Tuning Guide, Acceptance Test Guide, and Developer Guide. For details, see Release Notes.
2022-09-02
This issue is the twelfth official release.
Updated the document structure.
2022-07-27
This issue is the eleventh official release.
Updated the algorithm names: from RF to Random Forest and from Kmeans to K-means.
2022-07-21
This issue is the tenth official release.
Added Learning Path.
2022-07-08
This issue is the ninth official release.
The library supports Spark 3.1.1 but it supports only the 5 algorithms: ALS, LDA, KNN, PrefixSpan, and DBSCAN.
2022-05-18
This issue is the eighth official release.
Updated the feature description.
2022-04-08
This issue is the seventh official release.
Updated the machine learning algorithm library to 2.1.0.
Added machine learning algorithms including SPCA, IDF, and SimRank.
The OS is openEuler-20.03-LTS-SP1, which is compatible with CentOS 7.6.
Split the Machine Learning Algorithm Library Feature Guide into the Big Data Machine Learning Algorithm Library Feature Guide and Big Data Machine Learning Algorithm Library Developer Guide.
Added Specifications, Availability, Constraints, Deploying Spark Algorithms in a Hybrid Cluster, and Managing Logs to Feature Guide.
Added Technical White Paper, Developer Guide, Tuning Guide, and Acceptance Test Guide.
2021-12-31
This issue is the sixth official release.
Updated the installation package download links.
2021-08-25
This issue is the fifth official release.
Added a security hardening description.
2021-06-30
This issue is the fourth official release.
Updated the machine learning algorithm library to 1.3.0.
Added machine learning algorithms including Covariance, DBSCAN, Pearson, Spearman, and XGBoost.
Changed the OS from CentOS 7.6 to openEuler-20.03-LTS-SP1.
Switched the big data platform from Ambari + HDP to Apache.
2021-03-30
This issue is the third official release.
Updated the machine learning algorithm library to 1.2.0.
Added machine learning algorithms including LDA, PrefixSpan, ALS, and KNN.
Split the Kunpeng Spark Machine Learning & Graph Algorithm Library Feature Guide into the Kunpeng BoostKit for Big Data Graph Analysis Algorithm Library Feature Guide and Kunpeng BoostKit for Big Data Machine Learning Algorithm Library Feature Guide.
2020-12-11
This issue is the second official release.
Updated the machine learning algorithm library to 1.1.0.
Added machine learning algorithms including K-means, Decision Tree, Linear Regression, Logistic Regression, PCA, and SVD.
2020-11-30
This is the first official release.
The version of the machine learning algorithm library is 1.0.0.
The machine learning algorithms include Random Forest, SVM, and GBDT.
