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LBFGS from group com.github.thssmonkey (version 1.0.4)
Limited-memory BFGS (L-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm using a limited amount of computer memory. It is a popular algorithm for parameter estimation in machine learning. The algorithm's target problem is to minimize f(x) over unconstrained values of the real-vector x where f is a differentiable scalar function.
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Artifact LBFGS
Group com.github.thssmonkey
Version 1.0.4
Last update 16. May 2019
Organization not specified
URL https://github.com/thssmonkey/LBFGS
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies flink-scala_${scala.binary.version}, flink-streaming-scala_${scala.binary.version}, flink-clients_${scala.binary.version}, flink-ml_${scala.binary.version},
There are maybe transitive dependencies!
Group com.github.thssmonkey
Version 1.0.4
Last update 16. May 2019
Organization not specified
URL https://github.com/thssmonkey/LBFGS
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies flink-scala_${scala.binary.version}, flink-streaming-scala_${scala.binary.version}, flink-clients_${scala.binary.version}, flink-ml_${scala.binary.version},
There are maybe transitive dependencies!
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