Packages

package vw

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Type Members

  1. class ContextualBanditMetrics extends Serializable
  2. class ExampleStack extends AnyRef
  3. trait HasAdditionalFeatures extends Params

    VW support multiple input columns which are mapped to namespaces.

    VW support multiple input columns which are mapped to namespaces. Note: when one wants to create quadratic features within VW you'd specify additionalFeatures. Each feature column is treated as one namespace. Using -q 'uc' for columns 'user' and 'content' you'd get all quadratics for features in user/content (the first letter is called feature group and VW users are used to it... before somebody starts complaining ;)

  4. trait HasNumBits extends Params

    Controls hashing parameters such us number of bits (numbits) and how to handle collisions.

  5. trait HasSumCollisions extends Params

    Controls hashing parameters such us number of bits (numbits) and how to handle collisions.

  6. case class NamespaceInfo(hash: Int, featureGroup: Char, colIdx: Int) extends Product with Serializable
  7. case class PathAndData(path: String, bytes: Array[Byte]) extends Product with Serializable
  8. case class TrainingResult(model: Option[Array[Byte]], stats: TrainingStats) extends Product with Serializable
  9. case class TrainingStats(partitionId: Int, arguments: String, learningRate: Double, powerT: Double, hashSeed: Int, numBits: Int, numberOfExamplesPerPass: Long, weightedExampleSum: Double, weightedLabelSum: Double, averageLoss: Double, bestConstant: Float, bestConstantLoss: Float, totalNumberOfFeatures: Long, timeTotalNs: Long, timeNativeIngestNs: Long, timeLearnNs: Long, timeMultipassNs: Long, ipsEstimate: Double, snipsEstimate: Double) extends Product with Serializable
  10. class VectorZipper extends Transformer with HasInputCols with HasOutputCol with Wrappable with ComplexParamsWritable with BasicLogging

    Combine one or more input columns into a sequence in the output column.

  11. trait VowpalWabbitBase extends Wrappable with HasWeightCol with HasAdditionalFeatures with Logging

    Base implementation of VowpalWabbit learners.

    Base implementation of VowpalWabbit learners.

    Note

    parameters that regularly are swept through are exposed as proper parameters.

  12. trait VowpalWabbitBaseModel extends HasFeaturesCol with HasRawPredictionCol with HasAdditionalFeatures

    Base trait to wrap the model for prediction.

  13. class VowpalWabbitClassificationModel extends ProbabilisticClassificationModel[Row, VowpalWabbitClassificationModel] with VowpalWabbitBaseModel with ComplexParamsWritable with Wrappable with BasicLogging
  14. class VowpalWabbitClassifier extends ProbabilisticClassifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel] with VowpalWabbitBase with ComplexParamsWritable with BasicLogging
  15. class VowpalWabbitContextualBandit extends Predictor[Row, VowpalWabbitContextualBandit, VowpalWabbitContextualBanditModel] with VowpalWabbitContextualBanditBase with HasParallelismInjected with ComplexParamsWritable with BasicLogging
  16. trait VowpalWabbitContextualBanditBase extends VowpalWabbitBase
  17. class VowpalWabbitContextualBanditModel extends PredictionModel[Row, VowpalWabbitContextualBanditModel] with VowpalWabbitBaseModel with VowpalWabbitContextualBanditBase with ComplexParamsWritable with BasicLogging
  18. class VowpalWabbitFeaturizer extends Transformer with HasInputCols with HasOutputCol with HasNumBits with HasSumCollisions with Wrappable with ComplexParamsWritable with BasicLogging
  19. class VowpalWabbitInteractions extends Transformer with HasInputCols with HasOutputCol with HasNumBits with HasSumCollisions with Wrappable with ComplexParamsWritable with BasicLogging

    This transformer is not intended to be used with VW classifier or regressor, but rather to bring sparse interaction concept to other SparkML learners (e.g.

    This transformer is not intended to be used with VW classifier or regressor, but rather to bring sparse interaction concept to other SparkML learners (e.g. LR).

  20. class VowpalWabbitMurmurWithPrefix extends Serializable

    VW style murmur hash with pre-hashing of an initially specified prefix.

  21. class VowpalWabbitRegressionModel extends RegressionModel[Row, VowpalWabbitRegressionModel] with VowpalWabbitBaseModel with ComplexParamsWritable with Wrappable with BasicLogging
  22. class VowpalWabbitRegressor extends BaseRegressor[Row, VowpalWabbitRegressor, VowpalWabbitRegressionModel] with VowpalWabbitBase with ComplexParamsWritable with BasicLogging

Value Members

  1. object VectorUtils
  2. object VectorZipper extends ComplexParamsReadable[VectorZipper] with Serializable
  3. object VowpalWabbitClassificationModel extends ComplexParamsReadable[VowpalWabbitClassificationModel] with Serializable
  4. object VowpalWabbitClassifier extends ComplexParamsReadable[VowpalWabbitClassifier] with Serializable
  5. object VowpalWabbitContextualBandit extends ComplexParamsReadable[VowpalWabbitContextualBandit] with Serializable
  6. object VowpalWabbitContextualBanditModel extends ComplexParamsReadable[VowpalWabbitContextualBanditModel] with Serializable
  7. object VowpalWabbitFeaturizer extends ComplexParamsReadable[VowpalWabbitFeaturizer] with Serializable
  8. object VowpalWabbitInteractions extends ComplexParamsReadable[VowpalWabbitInteractions] with Serializable
  9. object VowpalWabbitRegressionModel extends ComplexParamsReadable[VowpalWabbitRegressionModel] with Serializable
  10. object VowpalWabbitRegressor extends ComplexParamsReadable[VowpalWabbitRegressor] with Serializable
  11. object VowpalWabbitUtil

Ungrouped