Spark Gbtlr
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ytk Learn | 351 | 2 years ago | n,ull | mit | Java | |||||
| Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax). | ||||||||||
| Zen | 173 | 4 | 5 years ago | 2 | October 08, 2015 | 28 | apache-2.0 | Scala | ||
| Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN. | ||||||||||
| Spark Gbtlr | 68 | 5 years ago | 1 | apache-2.0 | Scala | |||||
| Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark | ||||||||||
| Streaminglogisticregression | 21 | 7 years ago | Python | |||||||
| Logistic Regression in Spark Streaming with Online Updating | ||||||||||
| Machine Learning Course | 13 | 4 years ago | ||||||||
| Machine Learning Course @ Santa Clara University | ||||||||||
| Mlspark | 12 | 10 years ago | 1 | mit | Scala | |||||
| Machine learning algorithms implemented in Scala on Spark | ||||||||||
| Spark_mllib_algorithm_1.6.0 | 11 | 7 years ago | Scala | |||||||
| Spark Mllib 1.6.0版本算法封装 | ||||||||||
| Spark Ml Intro | 8 | 8 years ago | Jupyter Notebook | |||||||
| Spark.ML introduction in Python and SparkR | ||||||||||
| Sparse Logreg Spark | 7 | 6 years ago | 1 | Scala | ||||||
| sparse logistic regression in spark | ||||||||||
| Ist718_notes | 6 | 5 years ago | Jupyter Notebook | |||||||
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