jar

com.github.thssmonkey : LBFGS

Maven & Gradle

May 16, 2019
1 stars

LBFGS · 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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1.0.x

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com.github.thssmonkey.LBFGS

├─ com.github.thssmonkey.LBFGS.LBFGS.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSGenericLossFunction.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSHingeLoss.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSIterativeSolver.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSL1Regularization.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSL2Regularization.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSLearningRateMethod.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSLinearPrediction.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSLogisticLoss.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSLossFunction.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSNoRegularization.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSPartialLossFunction.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSPredictionFunction.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSRegularizationPenalty.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSSolver.class - [JAR]

├─ com.github.thssmonkey.LBFGS.LBFGSSquaredLoss.class - [JAR]

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