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/** Copyright 2015 TappingStone, Inc.
*
* 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 io.prediction.controller
import io.prediction.workflow.SharedSparkContext
import grizzled.slf4j.Logger
import org.scalatest.Matchers._
import org.scalatest.FunSuite
import org.scalatest.Inside
object MetricDevSuite {
class QIntSumMetric extends SumMetric[EmptyParams, Int, Int, Int, Int] {
def calculate(q: Int, p: Int, a: Int): Int = q
}
class QDoubleSumMetric extends SumMetric[EmptyParams, Int, Int, Int, Double] {
def calculate(q: Int, p: Int, a: Int): Double = q.toDouble
}
class QAverageMetric extends AverageMetric[EmptyParams, Int, Int, Int] {
def calculate(q: Int, p: Int, a: Int): Double = q.toDouble
}
class QOptionAverageMetric extends OptionAverageMetric[EmptyParams, Int, Int, Int] {
def calculate(q: Int, p: Int, a: Int): Option[Double] = {
if (q < 0) { None } else { Some(q.toDouble) }
}
}
class QStdevMetric extends StdevMetric[EmptyParams, Int, Int, Int] {
def calculate(q: Int, p: Int, a: Int): Double = q.toDouble
}
class QOptionStdevMetric extends OptionStdevMetric[EmptyParams, Int, Int, Int] {
def calculate(q: Int, p: Int, a: Int): Option[Double] = {
if (q < 0) { None } else { Some(q.toDouble) }
}
}
}
class MetricDevSuite
extends FunSuite with Inside with SharedSparkContext {
@transient lazy val logger = Logger[this.type]
test("Average Metric") {
val qpaSeq0 = Seq((1, 0, 0), (2, 0, 0), (3, 0, 0))
val qpaSeq1 = Seq((4, 0, 0), (5, 0, 0), (6, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QAverageMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe (21.0 / 6)
}
test("Option Average Metric") {
val qpaSeq0 = Seq((1, 0, 0), (2, 0, 0), (3, 0, 0))
val qpaSeq1 = Seq((-4, 0, 0), (-5, 0, 0), (6, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QOptionAverageMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe (12.0 / 4)
}
test("Stdev Metric") {
val qpaSeq0 = Seq((1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0))
val qpaSeq1 = Seq((5, 0, 0), (5, 0, 0), (5, 0, 0), (5, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QStdevMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe 2.0
}
test("Option Stdev Metric") {
val qpaSeq0 = Seq((1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0))
val qpaSeq1 = Seq((5, 0, 0), (5, 0, 0), (5, 0, 0), (5, 0, 0), (-5, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QOptionStdevMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe 2.0
}
test("Sum Metric [Int]") {
val qpaSeq0 = Seq((1, 0, 0), (2, 0, 0), (3, 0, 0))
val qpaSeq1 = Seq((4, 0, 0), (5, 0, 0), (6, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QIntSumMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe 21
}
test("Sum Metric [Double]") {
val qpaSeq0 = Seq((1, 0, 0), (2, 0, 0), (3, 0, 0))
val qpaSeq1 = Seq((4, 0, 0), (5, 0, 0), (6, 0, 0))
val evalDataSet = Seq(
(EmptyParams(), sc.parallelize(qpaSeq0)),
(EmptyParams(), sc.parallelize(qpaSeq1)))
val m = new MetricDevSuite.QDoubleSumMetric()
val result = m.calculate(sc, evalDataSet)
result shouldBe 21.0
}
}