Constructor Detail

• SupervisedHyperParameters.Builder

  SupervisedHyperParameters.Builder()

Method Detail

• adapterSize

   abstract SupervisedHyperParameters.Builder adapterSize(AdapterSize adapterSize)

  Setter for adapterSize.

  adapterSize: Optional. Adapter size for tuning.

• clearAdapterSize

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder clearAdapterSize()

  Clears the value of adapterSize field.

• adapterSize

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder adapterSize(AdapterSize.Known knownType)

  Setter for adapterSize given a known enum.

  adapterSize: Optional. Adapter size for tuning.

• adapterSize

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder adapterSize(String adapterSize)

  Setter for adapterSize given a string.

  adapterSize: Optional. Adapter size for tuning.

• batchSize

   abstract SupervisedHyperParameters.Builder batchSize(Long batchSize)

  Setter for batchSize.

  batchSize: Optional. Batch size for tuning. This feature is only available for open source models.

• clearBatchSize

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder clearBatchSize()

  Clears the value of batchSize field.

• epochCount

   abstract SupervisedHyperParameters.Builder epochCount(Long epochCount)

  Setter for epochCount.

  epochCount: Optional. Number of complete passes the model makes over the entire training dataset during training.

• clearEpochCount

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder clearEpochCount()

  Clears the value of epochCount field.

• learningRate

   abstract SupervisedHyperParameters.Builder learningRate(Double learningRate)

  Setter for learningRate.

  learningRate: Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.

• clearLearningRate

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder clearLearningRate()

  Clears the value of learningRate field.

• learningRateMultiplier

   abstract SupervisedHyperParameters.Builder learningRateMultiplier(Double learningRateMultiplier)

  Setter for learningRateMultiplier.

  learningRateMultiplier: Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.

• clearLearningRateMultiplier

  @CanIgnoreReturnValue() SupervisedHyperParameters.Builder clearLearningRateMultiplier()

  Clears the value of learningRateMultiplier field.

• build

   abstract SupervisedHyperParameters build()