gaterslebenchen / JLibFM
A Java implementation of libFM(Factorization Machine Library)
☆39Updated 6 months ago
Related projects: ⓘ
- A Java implementation of LIBFFM: A Library for Field-aware Factorization Machines☆10Updated 2 years ago
- ☆17Updated this week
- LR and FM (with sgd or ftrl) model☆25Updated 8 years ago
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 8 years ago
- ☆22Updated this week
- An implementation of GBDT+FM☆24Updated 7 years ago
- field-aware factorization machine implemented by java with an experiment using criteo data set.☆39Updated 9 years ago
- ☆27Updated 6 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- A parallel implementation of factorization machines based on Spark☆73Updated 4 years ago
- JData算法大赛☆31Updated 7 years ago
- News recommendation system based on spark.☆47Updated 7 years ago
- ☆10Updated this week
- A SimRank algorithm implementation using Spark☆49Updated 10 years ago
- 基于Spark的LambdaMART实现☆11Updated 9 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 5 years ago
- follow-the-regularized-leader implemented by java, with an example using criteo dataset.☆37Updated 8 years ago
- A java implementation of LightGBM predicting part☆82Updated 9 months ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆127Updated 3 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 3 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 6 years ago
- FFM implement with tensorflow by Python☆61Updated 6 years ago
- Breezedeus's Blog☆17Updated last year
- ☆24Updated 8 years ago
- ☆91Updated 6 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 6 years ago
- using FM latent vectors as embedding features☆13Updated 7 years ago
- libffm with ftrl updater☆93Updated 7 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆111Updated 3 years ago