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A PMML scoring library in Scala
/*
* Copyright (c) 2017-2019 AutoDeploy AI
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.pmml4s.transformations
import org.pmml4s.common.{DataType, Interval, PmmlElement}
import org.pmml4s.data.{DataVal, Series}
import org.pmml4s.metadata.Field
import org.pmml4s.util.Utils
import scala.collection.mutable
/**
* Discretization of numerical input fields is a mapping from continuous to discrete values using intervals.
*/
class Discretize(
val discretizeBins: Array[DiscretizeBin],
val field: Field,
val mapMissingTo: Option[DataVal],
val defaultValue: Option[DataVal],
val dataType: Option[DataType]) extends FieldExpression {
private val replacement: DataVal = mapMissingTo.getOrElse(DataVal.NULL)
override def eval(series: Series): DataVal = {
val res = super.eval(series)
if (Utils.isMissing(res)) {
replacement
} else {
evaluate(res.toDouble)
}
}
override def eval(x: DataVal): DataVal = {
if (Utils.isMissing(x)) {
replacement
} else {
evaluate(x.toDouble)
}
}
override val categories: Array[DataVal] = {
val c = new mutable.LinkedHashSet[DataVal]()
discretizeBins.foreach { e =>
c += e.binValue
}
mapMissingTo.foreach(c += _)
defaultValue.foreach(c += _)
c.toArray
}
private def evaluate(value: Double): DataVal = {
val one = discretizeBins.find(x => x.interval.contains(value))
one.map(_.binValue).getOrElse(replacement)
}
}
class DiscretizeBin(
val interval: Interval,
val binValue: DataVal) extends PmmlElement