NormContinuous
class NormContinuous(val linearNorms: Array[LinearNorm], val field: Field, val mapMissingTo: Option[Double], val outliers: OutlierTreatmentMethod) extends NumericFieldExpression
Normalization provides a basic framework for mapping input values to specific value ranges, usually the numeric range [0 .. 1]. Normalization is used, e.g., in neural networks and clustering models.
Defines how to normalize an input field by piecewise linear interpolation. The mapMissingTo attribute defines the value the output is to take if the input is missing. If the mapMissingTo attribute is not specified, then missing input values produce a missing result.
trait NumericFieldExpression
trait FieldExpression
trait UnaryExpression
trait Expression
trait Evaluator
trait PmmlElement
trait Serializable
trait HasExtensions
class Object
trait Matchable
class Any