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com.alpine.model.pack.preprocess.RealValuedFunction.scala Maven / Gradle / Ivy
/*
* Copyright (c) 2015 Alpine Data Labs
* All rights reserved.
*/
package com.alpine.model.pack.preprocess
import com.alpine.common.serialization.json.TypeWrapper
import com.alpine.model.RowModel
import com.alpine.model.export.pfa.expressions.FunctionExecute
import com.alpine.model.export.pfa.modelconverters.RealValuedFunctionsPFAConverter
import com.alpine.model.export.pfa.{PFAConverter, PFAConvertible}
import com.alpine.model.pack.multiple.PipelineRowModel
import com.alpine.model.pack.sql.SimpleSQLTransformer
import com.alpine.model.pack.util.CastedDoubleSeq
import com.alpine.plugin.core.io.{ColumnDef, ColumnType}
import com.alpine.sql.SQLGenerator
import com.alpine.transformer.Transformer
import com.alpine.transformer.sql.{ColumnName, ColumnarSQLExpression}
/**
* Interface for real-valued functions
* (functions that map the real (double) numbers to real (double) numbers)
* to be used in RealValuedFunctionsModel
*/
trait RealValuedFunction {
def apply(x: Double): Double
def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression]
def pfaRepresentation(inputReference: Any): Any
}
case class Exp() extends RealValuedFunction {
def apply(x: Double): Double = math.exp(x)
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""EXP(${name.escape(sqlGenerator)})"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("m.exp", inputReference)
}
}
case class Multiply(coefficient: Double) extends RealValuedFunction {
def apply(x: Double): Double = x * coefficient
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""$coefficient * ${name.escape(sqlGenerator)}"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("*", inputReference, coefficient)
}
}
case class Divide(denominator: Double) extends RealValuedFunction {
def apply(x: Double): Double = x / denominator
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""${name.escape(sqlGenerator)} / $denominator"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("/", inputReference, denominator)
}
}
case class Add(offset: Double) extends RealValuedFunction {
def apply(x: Double): Double = x + offset
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""${name.escape(sqlGenerator)} + $offset"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("+", inputReference, offset)
}
}
case class Subtract(offset: Double) extends RealValuedFunction {
def apply(x: Double): Double = x - offset
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""${name.escape(sqlGenerator)} - $offset"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("-", inputReference, offset)
}
}
case class Log() extends RealValuedFunction {
def apply(x: Double): Double = math.log(x)
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""LN(${name.escape(sqlGenerator)})"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("m.ln", inputReference)
}
}
case class Log1p() extends RealValuedFunction {
def apply(x: Double): Double = math.log1p(x)
// TODO: Investigate if some databases support this function natively.
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""LN(1 + ${name.escape(sqlGenerator)})"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("m.ln1p", inputReference)
}
}
/**
* Represents the linear function y = m * x + c.
* Can be constructed out of Add and Multiply functions, but included for convenience.
*
* Added in SDK 1.9 (Alpine-Chorus 6.3).
*
* @param m multiplier
* @param c constant offset
*/
case class LinearFunction(m: Double, c: Double) extends RealValuedFunction {
def apply(x: Double): Double = m * x + c
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""$m * ${name.escape(sqlGenerator)} + $c"""
)
)
}
override def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("+",
FunctionExecute("*", inputReference, m),
c
)
}
}
//case class Sqrt() extends RealValuedFunction {
// def apply(x: Double) = math.sqrt(x)
//}
//
//case class Inverse() extends RealValuedFunction {
// def apply(x: Double) = 1/x
//}
//
//case class Identity() extends RealValuedFunction {
// def apply(x: Double) = x
//}
//
//case class Square() extends RealValuedFunction {
// def apply(x: Double) = x*x
//}
case class Power(p: Double) extends RealValuedFunction {
def apply(x: Double): Double = math.pow(x, p)
override def sqlExpression(name: ColumnName, sqlGenerator: SQLGenerator): Option[ColumnarSQLExpression] = {
Some(
ColumnarSQLExpression(
s"""POWER(${name.escape(sqlGenerator)}, $p)"""
)
)
}
def pfaRepresentation(inputReference: Any): Any = {
FunctionExecute("**", inputReference, p)
}
}
@SerialVersionUID(-6730039384877850890L)
case class RealValuedFunctionsModel(functions: Seq[RealFunctionWithIndex], inputFeatures: Seq[ColumnDef], override val identifier: String = "") extends RowModel with PFAConvertible {
override def transformer = RealValuedFunctionTransformer(this)
@transient lazy val outputFeatures: Seq[ColumnDef] = {
functions.map(f => f.function.value.getClass.getSimpleName + "_" + inputFeatures(f.index).columnName).map(name => ColumnDef(name, ColumnType.Double))
}
override def sqlTransformer(sqlGenerator: SQLGenerator): Option[RealValuedFunctionsSQLTransformer] = {
val canBeScoredInSQL = this.functions.map {
// Some functions may only work for some database types, or not at all.
wrappedFunction => wrappedFunction.function.value.sqlExpression(ColumnName("dummyName"), sqlGenerator)
}.forall(_.isDefined)
if (canBeScoredInSQL) {
Some(RealValuedFunctionsSQLTransformer(this, sqlGenerator))
} else {
None
}
}
override def getPFAConverter: PFAConverter = new RealValuedFunctionsPFAConverter(this)
override def streamline(requiredOutputFeatureNames: Seq[String]): RowModel = {
val indices: Seq[Int] = requiredOutputFeatureNames.map(name => this.outputFeatures.indexWhere(c => c.columnName == name))
val functionsToKeep = indices.map(i => this.functions(i))
val indexOfNeededInputFeatures: Seq[Int] = functionsToKeep.map(f => f.index).distinct.sortBy(index => index)
val oldIndexToNewIndexMap = indexOfNeededInputFeatures.zipWithIndex.toMap
val newModel = RealValuedFunctionsModel(
functionsToKeep.map(f => RealFunctionWithIndex(f.function, oldIndexToNewIndexMap(f.index))),
indexOfNeededInputFeatures.map(i => this.inputFeatures(i))
)
val renamingModel = RenamingModel(newModel.outputFeatures, requiredOutputFeatureNames)
PipelineRowModel(Seq(newModel, renamingModel), this.identifier)
}
}
case class RealFunctionWithIndex(function: TypeWrapper[_ <: RealValuedFunction], index: Int)
object RealValuedFunctionsModel {
def make(functions: Seq[RealValuedFunction], inputFeatures: Seq[ColumnDef]): RealValuedFunctionsModel = {
RealValuedFunctionsModel(functions.zipWithIndex.map(t => RealFunctionWithIndex(TypeWrapper(t._1), t._2)), inputFeatures)
}
}
case class RealValuedFunctionTransformer(model: RealValuedFunctionsModel) extends Transformer {
private val functions = model.functions.map(t => (t.function.value, t.index)).toArray
override def apply(row: Row): Row = {
val result = Array.ofDim[Any](functions.length)
val doubleRow = CastedDoubleSeq(row)
var i = 0
while (i < functions.length) {
val functionsTuple = functions(i)
result(i) = functionsTuple._1(doubleRow(functionsTuple._2))
i += 1
}
result
}
}
case class RealValuedFunctionsSQLTransformer(model: RealValuedFunctionsModel, sqlGenerator: SQLGenerator) extends SimpleSQLTransformer {
override def getSQLExpressions: Seq[ColumnarSQLExpression] = {
model.functions.map {
wrappedFunction => wrappedFunction.function.value.sqlExpression(inputColumnNames(wrappedFunction.index), sqlGenerator).get
}
}
}