def setNumModels()

in sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/LinearLearnerSageMakerEstimator.scala [1145:1184]

• 22 lines of code
• 3 McCabe index (conditional complexity)

  def setNumModels(value: Int): this.type = set(numModels, value.toString)

  def setNumModels(value: String): this.type = set(numModels, value)

  def setNumCalibrationSamples(value: Int): this.type = set(numCalibrationSamples, value)

  def setInitMethod(value: String): this.type = set(initMethod, value)

  def setInitScale(value: Double): this.type = set(initScale, value)

  def setInitSigma(value: Double): this.type = set(initSigma, value)

  def setInitBias(value: Double): this.type = set(initBias, value)

  def setOptimizer(value: String): this.type = set(optimizer, value)

  def setLoss(value: String): this.type = set(loss, value)

  def setWd(value: Double): this.type = set(wd, value)

  def setL1(value: Double): this.type = set(l1, value)

  def setMomentum(value: Double): this.type = set(momentum, value)

  def setLearningRate(value: Double): this.type = set(learningRate, value.toString)

  def setLearningRate(value: String): this.type = set(learningRate, value)

  def setBeta1(value: Double): this.type = set(beta1, value)

  def setBeta2(value: Double): this.type = set(beta2, value)

  def setBiasLrMult(value: Double): this.type = set(biasLrMult, value)

  def setBiasWdMult(value: Double): this.type = set(biasWdMult, value)

  def setUseLrScheduler(value: Boolean): this.type = set(useLrScheduler, value match {
    case true => "True"
    case false => "False"
  })