Class Hierarchy
- java.lang.Object
- scala.runtime.AbstractFunction1<T1,R> (implements scala.Function1<T1,R>)
- scala.runtime.AbstractFunction2<T1,T2,R> (implements scala.Function2<T1,T2,R>)
- org.apache.flink.ml.optimization.GenericLossFunction (implements org.apache.flink.ml.optimization.LossFunction, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.GradientDescent$ (implements scala.Serializable)
- org.apache.flink.ml.optimization.HingeLoss
- org.apache.flink.ml.optimization.HingeLoss$ (implements org.apache.flink.ml.optimization.PartialLossFunction)
- org.apache.flink.ml.optimization.IterativeSolver.ConvergenceThreshold$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.IterativeSolver.Iterations$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.IterativeSolver.LearningRate$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.IterativeSolver.LearningRateMethodValue$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.IterativeSolver$ (implements scala.Serializable)
- org.apache.flink.ml.optimization.L1Regularization
- org.apache.flink.ml.optimization.L1Regularization$ (implements org.apache.flink.ml.optimization.RegularizationPenalty)
- org.apache.flink.ml.optimization.L2Regularization
- org.apache.flink.ml.optimization.L2Regularization$ (implements org.apache.flink.ml.optimization.RegularizationPenalty)
- org.apache.flink.ml.optimization.LearningRateMethod
- org.apache.flink.ml.optimization.LearningRateMethod.Bottou (implements org.apache.flink.ml.optimization.LearningRateMethod.LearningRateMethodTrait, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.LearningRateMethod.Constant$ (implements org.apache.flink.ml.optimization.LearningRateMethod.LearningRateMethodTrait)
- org.apache.flink.ml.optimization.LearningRateMethod.Default$ (implements org.apache.flink.ml.optimization.LearningRateMethod.LearningRateMethodTrait)
- org.apache.flink.ml.optimization.LearningRateMethod.InvScaling (implements org.apache.flink.ml.optimization.LearningRateMethod.LearningRateMethodTrait, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.LearningRateMethod.Xu (implements org.apache.flink.ml.optimization.LearningRateMethod.LearningRateMethodTrait, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.LearningRateMethod$
- org.apache.flink.ml.optimization.LinearPrediction
- org.apache.flink.ml.optimization.LogisticLoss
- org.apache.flink.ml.optimization.LogisticLoss$ (implements org.apache.flink.ml.optimization.PartialLossFunction)
- org.apache.flink.ml.optimization.NoRegularization
- org.apache.flink.ml.optimization.NoRegularization$ (implements org.apache.flink.ml.optimization.RegularizationPenalty)
- org.apache.flink.ml.optimization.PredictionFunction (implements scala.Serializable)
- org.apache.flink.ml.optimization.Solver (implements scala.Serializable, org.apache.flink.ml.common.WithParameters)
- org.apache.flink.ml.optimization.Solver.LossFunction$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.Solver.RegularizationConstant$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.Solver.RegularizationPenaltyValue$ (implements org.apache.flink.ml.common.Parameter<T>, scala.Product, scala.Serializable)
- org.apache.flink.ml.optimization.Solver$ (implements scala.Serializable)
- org.apache.flink.ml.optimization.SquaredLoss
- org.apache.flink.ml.optimization.SquaredLoss$ (implements org.apache.flink.ml.optimization.PartialLossFunction)
Interface Hierarchy
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