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Is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. Many learning problems are posed as minimizing a sum of losses per training example plus a regularization term. The FACTORIE optimization package provides a modular framework for specifying per-example losses, regularization, online vs.
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Monday, January 08, 2018. 4 desktop edition has just been released.
Je vais pas faire un article comme les autres. Le ridicule ne tue pas.