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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.apache.spark.ml
import java.io.File
import scala.collection.JavaConverters._
import org.apache.hadoop.fs.{FileSystem, Path}
import org.mockito.Matchers.{any, eq => meq}
import org.mockito.Mockito.when
import org.scalatest.mock.MockitoSugar.mock
import org.apache.spark.SparkFunSuite
import org.apache.spark.ml.Pipeline.SharedReadWrite
import org.apache.spark.ml.feature.HashingTF
import org.apache.spark.ml.param.{IntParam, ParamMap}
import org.apache.spark.ml.util._
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.sql.DataFrame
import org.apache.spark.sql.types.StructType
class PipelineSuite extends SparkFunSuite with MLlibTestSparkContext with DefaultReadWriteTest {
abstract class MyModel extends Model[MyModel]
test("pipeline") {
val estimator0 = mock[Estimator[MyModel]]
val model0 = mock[MyModel]
val transformer1 = mock[Transformer]
val estimator2 = mock[Estimator[MyModel]]
val model2 = mock[MyModel]
val transformer3 = mock[Transformer]
val dataset0 = mock[DataFrame]
val dataset1 = mock[DataFrame]
val dataset2 = mock[DataFrame]
val dataset3 = mock[DataFrame]
val dataset4 = mock[DataFrame]
when(estimator0.copy(any[ParamMap])).thenReturn(estimator0)
when(model0.copy(any[ParamMap])).thenReturn(model0)
when(transformer1.copy(any[ParamMap])).thenReturn(transformer1)
when(estimator2.copy(any[ParamMap])).thenReturn(estimator2)
when(model2.copy(any[ParamMap])).thenReturn(model2)
when(transformer3.copy(any[ParamMap])).thenReturn(transformer3)
when(estimator0.fit(meq(dataset0))).thenReturn(model0)
when(model0.transform(meq(dataset0))).thenReturn(dataset1)
when(model0.parent).thenReturn(estimator0)
when(transformer1.transform(meq(dataset1))).thenReturn(dataset2)
when(estimator2.fit(meq(dataset2))).thenReturn(model2)
when(model2.transform(meq(dataset2))).thenReturn(dataset3)
when(model2.parent).thenReturn(estimator2)
when(transformer3.transform(meq(dataset3))).thenReturn(dataset4)
val pipeline = new Pipeline()
.setStages(Array(estimator0, transformer1, estimator2, transformer3))
val pipelineModel = pipeline.fit(dataset0)
MLTestingUtils.checkCopy(pipelineModel)
assert(pipelineModel.stages.length === 4)
assert(pipelineModel.stages(0).eq(model0))
assert(pipelineModel.stages(1).eq(transformer1))
assert(pipelineModel.stages(2).eq(model2))
assert(pipelineModel.stages(3).eq(transformer3))
val output = pipelineModel.transform(dataset0)
assert(output.eq(dataset4))
}
test("pipeline with duplicate stages") {
val estimator = mock[Estimator[MyModel]]
val pipeline = new Pipeline()
.setStages(Array(estimator, estimator))
val dataset = mock[DataFrame]
intercept[IllegalArgumentException] {
pipeline.fit(dataset)
}
}
test("PipelineModel.copy") {
val hashingTF = new HashingTF()
.setNumFeatures(100)
val model = new PipelineModel("pipeline", Array[Transformer](hashingTF))
val copied = model.copy(ParamMap(hashingTF.numFeatures -> 10))
require(copied.stages(0).asInstanceOf[HashingTF].getNumFeatures === 10,
"copy should handle extra stage params")
}
test("pipeline model constructors") {
val transform0 = mock[Transformer]
val model1 = mock[MyModel]
val stages = Array(transform0, model1)
val pipelineModel0 = new PipelineModel("pipeline0", stages)
assert(pipelineModel0.uid === "pipeline0")
assert(pipelineModel0.stages === stages)
val stagesAsList = stages.toList.asJava
val pipelineModel1 = new PipelineModel("pipeline1", stagesAsList)
assert(pipelineModel1.uid === "pipeline1")
assert(pipelineModel1.stages === stages)
}
test("Pipeline read/write") {
val writableStage = new WritableStage("writableStage").setIntParam(56)
val pipeline = new Pipeline().setStages(Array(writableStage))
val pipeline2 = testDefaultReadWrite(pipeline, testParams = false)
assert(pipeline2.getStages.length === 1)
assert(pipeline2.getStages(0).isInstanceOf[WritableStage])
val writableStage2 = pipeline2.getStages(0).asInstanceOf[WritableStage]
assert(writableStage.getIntParam === writableStage2.getIntParam)
}
test("Pipeline read/write with non-Writable stage") {
val unWritableStage = new UnWritableStage("unwritableStage")
val unWritablePipeline = new Pipeline().setStages(Array(unWritableStage))
withClue("Pipeline.write should fail when Pipeline contains non-Writable stage") {
intercept[UnsupportedOperationException] {
unWritablePipeline.write
}
}
}
test("PipelineModel read/write") {
val writableStage = new WritableStage("writableStage").setIntParam(56)
val pipeline =
new PipelineModel("pipeline_89329327", Array(writableStage.asInstanceOf[Transformer]))
val pipeline2 = testDefaultReadWrite(pipeline, testParams = false)
assert(pipeline2.stages.length === 1)
assert(pipeline2.stages(0).isInstanceOf[WritableStage])
val writableStage2 = pipeline2.stages(0).asInstanceOf[WritableStage]
assert(writableStage.getIntParam === writableStage2.getIntParam)
}
test("PipelineModel read/write: getStagePath") {
val stageUid = "myStage"
val stagesDir = new Path("pipeline", "stages").toString
def testStage(stageIdx: Int, numStages: Int, expectedPrefix: String): Unit = {
val path = SharedReadWrite.getStagePath(stageUid, stageIdx, numStages, stagesDir)
val expected = new Path(stagesDir, expectedPrefix + "_" + stageUid).toString
assert(path === expected)
}
testStage(0, 1, "0")
testStage(0, 9, "0")
testStage(0, 10, "00")
testStage(1, 10, "01")
testStage(12, 999, "012")
}
test("PipelineModel read/write with non-Writable stage") {
val unWritableStage = new UnWritableStage("unwritableStage")
val unWritablePipeline =
new PipelineModel("pipeline_328957", Array(unWritableStage.asInstanceOf[Transformer]))
withClue("PipelineModel.write should fail when PipelineModel contains non-Writable stage") {
intercept[UnsupportedOperationException] {
unWritablePipeline.write
}
}
}
}
/** Used to test [[Pipeline]] with [[Writable]] stages */
class WritableStage(override val uid: String) extends Transformer with Writable {
final val intParam: IntParam = new IntParam(this, "intParam", "doc")
def getIntParam: Int = $(intParam)
def setIntParam(value: Int): this.type = set(intParam, value)
setDefault(intParam -> 0)
override def copy(extra: ParamMap): WritableStage = defaultCopy(extra)
override def write: Writer = new DefaultParamsWriter(this)
override def transform(dataset: DataFrame): DataFrame = dataset
override def transformSchema(schema: StructType): StructType = schema
}
object WritableStage extends Readable[WritableStage] {
override def read: Reader[WritableStage] = new DefaultParamsReader[WritableStage]
override def load(path: String): WritableStage = read.load(path)
}
/** Used to test [[Pipeline]] with non-[[Writable]] stages */
class UnWritableStage(override val uid: String) extends Transformer {
final val intParam: IntParam = new IntParam(this, "intParam", "doc")
setDefault(intParam -> 0)
override def copy(extra: ParamMap): UnWritableStage = defaultCopy(extra)
override def transform(dataset: DataFrame): DataFrame = dataset
override def transformSchema(schema: StructType): StructType = schema
}
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