Uses of Class
org.drip.learning.rxtor1.GeneralizedLearner

Packages that use GeneralizedLearner
Package Description
org.drip.learning.rxtor1
Statistical Learning Empirical Loss Penalizer

  • Uses of GeneralizedLearner in org.drip.learning.rxtor1

    Subclasses of GeneralizedLearner in org.drip.learning.rxtor1
    Modifier and Type Class Description
    class  ApproximateLipschitzLossLearner
    ApproximateLipschitzLossLearner implements the Learner Class that holds the Space of Normed Rd To Normed R1 Learning Functions for the Family of Loss Functions that are "approximately" Lipschitz, i.e., loss (ep) - loss (ep') Less Than max (C * |ep-ep'|, C')

    The References are:

    Alon, N., S.
    class  L1LossLearner
    L1LossLearner implements the Learner Class that holds the Space of Normed Rx To Normed R1 Learning Functions that employs L1 Empirical Loss Routine.
    class  LipschitzLossLearner
    LipschitzLossLearner implements the Learner Class that holds the Space of Normed R1 To Normed R1 Learning Functions for the Family of Loss Functions that are Lipschitz, i.e., loss (ep) - loss (ep') Less Than C * |ep-ep'|

    The References are:

    Alon, N., S.
    class  LpLossLearner
    LpLossLearner implements the Learner Class that holds the Space of Normed Rx To Normed R1 Learning Functions for the Family of Loss Functions that are Polynomial, i.e., loss (eta) = (eta ^ p) / p, for p greater than 1.