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org.pmml4s.xml.SupportVectorMachineBuilder.scala Maven / Gradle / Ivy
/*
* Copyright (c) 2017-2023 AutoDeployAI
*
* 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.xml
import org.pmml4s.SemanticErrorException
import org.pmml4s.common.{DenseVector, DoubleEvaluator, Vector}
import org.pmml4s.model._
import scala.collection.mutable
/**
* Builder of Support Vector Machine model
*/
class SupportVectorMachineBuilder extends Builder[SupportVectorMachineModel] {
protected var attributes: SupportVectorMachineAttributes = _
private var kernelType: KernelType = _
private var vectorDictionary: VectorDictionary = _
private val supportVectorMachines = mutable.ArrayBuilder.make[SupportVectorMachine]
/** Builds a PMML model from a specified XML reader. */
override def build(reader: XMLEventReader, attrs: XmlAttrs, parent: Model): SupportVectorMachineModel = {
this.parent = parent
this.attributes = makeAttributes(attrs)
traverseModel(reader, ElemTags.SUPPORT_VECTOR_MACHINE_MODEL, {
case event: EvElemStart if (KernelType.contains(event.label)) => kernelType = makeKernelType(reader, event)
case EvElemStart(_, ElemTags.VECTOR_DICTIONARY, attrs, _) => vectorDictionary = makeVectorDictionary(reader, attrs)
case EvElemStart(_, ElemTags.SUPPORT_VECTOR_MACHINE, attrs, _) => supportVectorMachines += makeSupportVectorMachine(reader, attrs)
})
new SupportVectorMachineModel(parent, attributes, miningSchema,
kernelType, vectorDictionary, supportVectorMachines.result(),
output, targets, localTransformations, modelStats, modelExplanation, modelVerification, extensions.toIndexedSeq)
}
def makeSupportVectorMachine(reader: XMLEventReader, attrs: XmlAttrs): SupportVectorMachine = makeElem(reader, attrs, new ElemBuilder[SupportVectorMachine] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): SupportVectorMachine = {
val targetCategory = attrs.get(AttrTags.TARGET_CATEGORY).map(target.toVal)
val alternateTargetCategory = attrs.get(AttrTags.ALTERNATE_TARGET_CATEGORY).map(target.toVal)
val threshold = attrs.getDouble(AttrTags.THRESHOLD)
var supportVectors: SupportVectors = null
var coefficients: Coefficients = null
traverseElems(reader, ElemTags.SUPPORT_VECTOR_MACHINE, {
case EvElemStart(_, ElemTags.SUPPORT_VECTORS, attrs, _) => supportVectors = makeElem(reader, attrs,
new ElemBuilder[SupportVectors] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): SupportVectors = {
val numberOfSupportVectors = attrs.getInt(AttrTags.NUMBER_OF_SUPPORT_VECTORS)
val numberOfAttributes = attrs.getInt(AttrTags.NUMBER_OF_ATTRIBUTES)
val supportVectors = makeElems(reader, ElemTags.SUPPORT_VECTORS, ElemTags.SUPPORT_VECTOR, new ElemBuilder[SupportVector] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): SupportVector = {
val vectorId = attrs(AttrTags.VECTOR_ID)
new SupportVector(vectorId)
}
}, numberOfSupportVectors)
numberOfSupportVectors.foreach(x => if (x != supportVectors.length) throw
new SemanticErrorException(s"The number of SupportVector elements must be $x, got ${supportVectors.length}"))
numberOfAttributes.foreach(x => if (supportVectors.map(y => vectorDictionary(y.vectorId)).exists(z => z.numAttrs != x)) throw
new SemanticErrorException(s"The number of attributes in the support vectors (which all must have the same length) must be $x"))
new SupportVectors(supportVectors)
}
})
case EvElemStart(_, ElemTags.COEFFICIENTS, attrs, _) => coefficients = makeElem(reader, attrs, new ElemBuilder[Coefficients] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): Coefficients = {
val numberOfCoefficients = attrs.getInt(AttrTags.NUMBER_OF_COEFFICIENTS)
val absoluteValue = attrs.getDouble(AttrTags.ABSOLUTE_VALUE, .0)
val coefficients = makeElems(reader, ElemTags.COEFFICIENTS, ElemTags.COEFFICIENT, new ElemBuilder[Coefficient] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): Coefficient = {
val value = attrs.getDouble(AttrTags.VALUE, .0)
new Coefficient(value)
}
}, numberOfCoefficients)
numberOfCoefficients.foreach(x => if (x != coefficients.length) throw
new SemanticErrorException(s"The number of oefficients must be $x, got ${coefficients.length}"))
new Coefficients(coefficients, absoluteValue)
}
})
})
new SupportVectorMachine(Option(supportVectors), coefficients, targetCategory, alternateTargetCategory, threshold)
}
})
def makeVectorDictionary(reader: XMLEventReader, attrs: XmlAttrs): VectorDictionary =
makeElem(reader, attrs, new ElemBuilder[VectorDictionary] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): VectorDictionary = {
val numberOfVectors = attrs.getInt(AttrTags.NUMBER_OF_VECTORS)
var vectorFields: VectorFields = null
val vectorInstances = mutable.ArrayBuilder.make[VectorInstance]
numberOfVectors.foreach(vectorInstances.sizeHint(_))
traverseElems(reader, ElemTags.VECTOR_DICTIONARY, {
case EvElemStart(_, ElemTags.VECTOR_FIELDS, attrs, _) => vectorFields = makeElem(reader, attrs,
new ElemBuilder[VectorFields] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): VectorFields = {
val numberOfFields = attrs.getInt(AttrTags.NUMBER_OF_FIELDS)
val fields = mutable.ArrayBuilder.make[DoubleEvaluator]
numberOfFields.foreach(fields.sizeHint(_))
traverseElems(reader, ElemTags.VECTOR_FIELDS, {
case EvElemStart(_, ElemTags.FIELD_REF, attrs, _) => fields += makeFieldRef(reader, attrs, scope)
case EvElemStart(_, ElemTags.CATEGORICAL_PREDICTOR, attrs, _) => fields += makeCategoricalPredictor(reader, attrs)
})
val fs = fields.result()
numberOfFields.foreach(x => if (x != fs.length) throw
new SemanticErrorException(s"The number of entries in VectorFields must be $x, got ${fs.length}"))
new VectorFields(fs)
}
})
case EvElemStart(_, ElemTags.VECTOR_INSTANCE, attrs, _) => vectorInstances += makeElem(reader, attrs, new ElemBuilder[VectorInstance] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): VectorInstance = {
val id = attrs(AttrTags.ID)
var array: Vector[Double] = null
traverseElems(reader, ElemTags.VECTOR_INSTANCE, {
case EvElemStart(_, ElemTags.ARRAY, attrs, _) => array = makeElem(reader, attrs,
new ElemBuilder[Vector[Double]] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): Vector[Double] = {
val values = makeRealArray(reader, attrs)
new DenseVector[Double](values)
}
})
case EvElemStart(_, ElemTags.REAL_SPARSE_ARRAY, attrs, _) => array = makeElem(reader, attrs,
new ElemBuilder[Vector[Double]] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): Vector[Double] =
makeRealSparseArray(reader, attrs)
})
})
new VectorInstance(id, array)
}
})
})
val vs = vectorInstances.result()
numberOfVectors.foreach(x => if (x != vs.length) throw
new SemanticErrorException(s"The number of vectors must be $x, got ${vs.length}"))
new VectorDictionary(vectorFields, vs)
}
})
def makeKernelType(reader: XMLEventReader, event: EvElemStart): KernelType = makeElem(reader, event,
new GroupElemBuilder[KernelType] {
override def build(reader: XMLEventReader, event: EvElemStart): KernelType = event match {
case EvElemStart(_, ElemTags.LINEAR_KERNEL_TYPE, attrs, _) => makeElem(reader, attrs, new ElemBuilder[LinearKernelType] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): LinearKernelType = {
val description = attrs.get(AttrTags.DESCRIPTION)
new LinearKernelType(description)
}
})
case EvElemStart(_, ElemTags.POLYNOMIAL_KERNEL_TYPE, attrs, _) => makeElem(reader, attrs, new ElemBuilder[PolynomialKernelType] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): PolynomialKernelType = {
val description = attrs.get(AttrTags.DESCRIPTION)
val gamma = attrs.getDouble(AttrTags.GAMMA, 1.0)
val coef0 = attrs.getDouble(AttrTags.COEF0, 1.0)
val degree = attrs.getDouble(AttrTags.DEGREE, 1.0)
new PolynomialKernelType(gamma, coef0, degree, description)
}
})
case EvElemStart(_, ElemTags.RADIAL_BASIS_KERNEL_TYPE, attrs, _) => makeElem(reader, attrs, new ElemBuilder[RadialBasisKernelType] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): RadialBasisKernelType = {
val description = attrs.get(AttrTags.DESCRIPTION)
val gamma = attrs.getDouble(AttrTags.GAMMA, 1.0)
new RadialBasisKernelType(gamma, description)
}
})
case EvElemStart(_, ElemTags.SIGMOID_KERNEL_TYPE, attrs, _) => makeElem(reader, attrs, new ElemBuilder[SigmoidKernelType] {
override def build(reader: XMLEventReader, attrs: XmlAttrs): SigmoidKernelType = {
val description = attrs.get(AttrTags.DESCRIPTION)
val gamma = attrs.getDouble(AttrTags.GAMMA, 1.0)
val coef0 = attrs.getDouble(AttrTags.COEF0, 1.0)
new SigmoidKernelType(gamma, coef0, description)
}
})
case _ => ??????
}
})
/** Extracts these common attributes from a model */
override protected def makeAttributes(attrs: XmlAttrs): SupportVectorMachineAttributes = {
val attributes = super.makeAttributes(attrs)
new SupportVectorMachineAttributes(
threshold = attrs.getDouble(AttrTags.THRESHOLD, 0.0),
svmRepresentation = attrs.get(AttrTags.SVM_REPRESENTATION).map(SVMRepresentation.withName(_)).getOrElse(SVMRepresentation.SupportVectors),
classificationMethod = attrs.get((AttrTags.CLASSIFICATION_METHOD)).map(SVMClassificationMethod.withName(_)).getOrElse(SVMClassificationMethod.OneAgainstAll),
maxWins = attrs.getBoolean(AttrTags.MAX_WINS, false),
functionName = attributes.functionName,
modelName = attributes.modelName,
algorithmName = attributes.algorithmName,
isScorable = attributes.isScorable)
}
/** Name of the builder. */
override def name: String = ElemTags.SUPPORT_VECTOR_MACHINE_MODEL
}
