gaterslebenchen / JLibFMLinks
A Java implementation of libFM(Factorization Machine Library)
☆39Updated last year
Alternatives and similar repositories for JLibFM
Users that are interested in JLibFM are comparing it to the libraries listed below
Sorting:
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- LR and FM (with sgd or ftrl) model☆25Updated 9 years ago
- ☆27Updated 7 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- A Java implementation of LIBFFM: A Library for Field-aware Factorization Machines☆10Updated 3 years ago
- 基于Spark的LambdaMART实现☆11Updated 10 years ago
- News recommendation system based on spark.☆49Updated 8 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- follow-the-regularized-leader implemented by java, with an example using criteo dataset.☆37Updated 9 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 3 years ago
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆129Updated 3 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 6 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- Deep Learning Pipelines for Apache Spark☆58Updated 7 years ago
- A parallel implementation of factorization machines based on Spark☆74Updated 4 years ago
- JData算法大赛☆31Updated 7 years ago
- A java implementation of LightGBM predicting part☆84Updated last year
- field-aware factorization machine implemented by java with an experiment using criteo data set.☆39Updated 10 years ago
- Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation☆20Updated 8 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- spark-simrank scala☆17Updated 8 years ago
- A SimRank algorithm implementation using Spark☆48Updated 11 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- ☆14Updated 6 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Updated 3 years ago
- Deep structured semantic model☆32Updated 9 years ago
- ☆91Updated 7 years ago
- libffm with ftrl updater☆94Updated 7 years ago