Packages

class Snips extends Aggregator[SnipsInput, SnipsBuffer, Float] with Serializable with SynapseMLLogging

SNIPS off policy estimator: the Self-Normalized Estimator for Counterfactual Learning

See https://papers.nips.cc/paper/2015/file/39027dfad5138c9ca0c474d71db915c3-Paper.pdf

Linear Supertypes
SynapseMLLogging, Logging, Aggregator[SnipsInput, SnipsBuffer, Float], Serializable, Serializable, AnyRef, Any
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Inherited
  1. Snips
  2. SynapseMLLogging
  3. Logging
  4. Aggregator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Instance Constructors

  1. new Snips()

Value Members

  1. def bufferEncoder: Encoder[SnipsBuffer]
    Definition Classes
    Snips → Aggregator
  2. def finish(acc: SnipsBuffer): Float
    Definition Classes
    Snips → Aggregator
  3. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  4. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  5. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  6. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  7. def merge(acc1: SnipsBuffer, acc2: SnipsBuffer): SnipsBuffer
    Definition Classes
    Snips → Aggregator
  8. def outputEncoder: Encoder[Float]
    Definition Classes
    Snips → Aggregator
  9. def reduce(acc: SnipsBuffer, x: SnipsInput): SnipsBuffer
    Definition Classes
    Snips → Aggregator
  10. def toColumn: TypedColumn[SnipsInput, Float]
    Definition Classes
    Aggregator
  11. val uid: String
    Definition Classes
    SnipsSynapseMLLogging
  12. def zero: SnipsBuffer
    Definition Classes
    Snips → Aggregator