LIDIAgroup / SparkFeatureSelectionLinks
Generic implementation of Information Theory-based Feature Selection methods. It also contains an Entropy Minimization Discretization implementation, as well as two artificial dataset generators.
☆19Updated 11 years ago
Alternatives and similar repositories for SparkFeatureSelection
Users that are interested in SparkFeatureSelection are comparing it to the libraries listed below
Sorting:
- Reactive Factorization Engine☆104Updated 10 years ago
- Code for the 3rd place finish for Avazu Click-Through Rate Prediction☆87Updated 10 years ago
- DistML provide a supplement to mllib to support model-parallel on Spark☆167Updated 8 years ago
- Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logi…☆169Updated 7 years ago
- A SimRank algorithm implementation using Spark☆48Updated 11 years ago
- follow-the-regularized-leader implemented by java, with an example using criteo dataset.☆37Updated 10 years ago
- An implement of Factorization Machines (LibFM)☆250Updated 7 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago
- Software for the kaggle criteo challenge☆53Updated 11 years ago
- Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition☆260Updated 9 years ago
- A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python☆92Updated 11 years ago
- Distributed Factorization Machines☆298Updated 9 years ago
- Criteo/Kaggle Competition of CTR prediction☆130Updated 11 years ago
- libffm with ftrl updater☆94Updated 8 years ago
- Notes on Logistic Regression and OWLQN☆26Updated 8 years ago
- Multithreaded Asynchronous FTRL Proximal Implementation