nak

liblinear

package liblinear

Visibility
  1. Public
  2. All

Type Members

  1. class BinomialProblem extends AnyRef

    Specify a binomial problem with success/failure counts for each feature vector and offsets.

  2. trait Feature extends AnyRef

  3. class FeatureNode extends Feature

  4. class InvalidInputDataException extends Exception

  5. class L2R_L2_SvrFunction extends L2R_L2_SvcFunction

  6. class L2R_LrFunction_Binomial extends Function

    Binomial logistic regression function with offsets.

  7. case class LiblinearConfig(solverType: SolverType = SolverType.L2R_LR, cost: Double = 1.0, eps: Double = 0.01, showDebug: Boolean = false) extends Product with Serializable

    Configure the options for Liblinear training.

  8. class LiblinearTrainer extends AnyRef

    Train a Liblinear classifier from data.

  9. class LiblinearTrainerBinomial extends AnyRef

    Train a Liblinear classifier from data with binomial success/failure counts.

  10. class Linear extends AnyRef

  11. final class Model extends Serializable

  12. final class Parameter extends AnyRef

  13. class Predict extends AnyRef

  14. class Problem extends AnyRef

  15. class SolverType extends Enum[SolverType]

  16. class Train extends AnyRef

Value Members

  1. object BinomialProblem

    Companion to BinomialProblem.

  2. object LiblinearProblem

    Set up a problem to be solved.

  3. object LiblinearUtil

    Helper functions for working with Liblinear.

  4. object Solver

    An object to help with solver descriptions.

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