High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)
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Updated
Mar 22, 2018 - C++
High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)
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High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Apache developers Big-Five personality profiler
Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).
A easy library for recommendation system or computational advertising
Field-aware factorization machine (FFM) with FTRL
rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
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