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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.feature
import scala.collection.mutable.ArrayBuilder
import org.apache.spark.ml.util.DefaultReadWriteTest
import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.ml.attribute._
import org.apache.spark.ml.param.ParamsSuite
import org.apache.spark.mllib.linalg.{Vector, Vectors}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.sql.functions.col
class InteractionSuite extends SparkFunSuite with MLlibTestSparkContext with DefaultReadWriteTest {
test("params") {
ParamsSuite.checkParams(new Interaction())
}
test("feature encoder") {
def encode(cardinalities: Array[Int], value: Any): Vector = {
var indices = ArrayBuilder.make[Int]
var values = ArrayBuilder.make[Double]
val encoder = new FeatureEncoder(cardinalities)
encoder.foreachNonzeroOutput(value, (i, v) => {
indices += i
values += v
})
Vectors.sparse(encoder.outputSize, indices.result(), values.result()).compressed
}
assert(encode(Array(1), 2.2) === Vectors.dense(2.2))
assert(encode(Array(3), Vectors.dense(1)) === Vectors.dense(0, 1, 0))
assert(encode(Array(1, 1), Vectors.dense(1.1, 2.2)) === Vectors.dense(1.1, 2.2))
assert(encode(Array(3, 1), Vectors.dense(1, 2.2)) === Vectors.dense(0, 1, 0, 2.2))
assert(encode(Array(2, 1), Vectors.dense(1, 2.2)) === Vectors.dense(0, 1, 2.2))
assert(encode(Array(2, 1, 1), Vectors.dense(0, 2.2, 0)) === Vectors.dense(1, 0, 2.2, 0))
intercept[SparkException] { encode(Array(1), "foo") }
intercept[SparkException] { encode(Array(1), null) }
intercept[AssertionError] { encode(Array(2), 2.2) }
intercept[AssertionError] { encode(Array(3), Vectors.dense(2.2)) }
intercept[AssertionError] { encode(Array(1), Vectors.dense(1.0, 2.0, 3.0)) }
intercept[AssertionError] { encode(Array(3), Vectors.dense(-1)) }
intercept[AssertionError] { encode(Array(3), Vectors.dense(3)) }
}
test("numeric interaction") {
val data = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(3.0, 4.0)),
(1, Vectors.dense(1.0, 5.0)))
).toDF("a", "b")
val groupAttr = new AttributeGroup(
"b",
Array[Attribute](
NumericAttribute.defaultAttr.withName("foo"),
NumericAttribute.defaultAttr.withName("bar")))
val df = data.select(
col("a").as("a", NumericAttribute.defaultAttr.toMetadata()),
col("b").as("b", groupAttr.toMetadata()))
val trans = new Interaction().setInputCols(Array("a", "b")).setOutputCol("features")
val res = trans.transform(df)
val expected = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(3.0, 4.0), Vectors.dense(6.0, 8.0)),
(1, Vectors.dense(1.0, 5.0), Vectors.dense(1.0, 5.0)))
).toDF("a", "b", "features")
assert(res.collect() === expected.collect())
val attrs = AttributeGroup.fromStructField(res.schema("features"))
val expectedAttrs = new AttributeGroup(
"features",
Array[Attribute](
new NumericAttribute(Some("a:b_foo"), Some(1)),
new NumericAttribute(Some("a:b_bar"), Some(2))))
assert(attrs === expectedAttrs)
}
test("nominal interaction") {
val data = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(3.0, 4.0)),
(1, Vectors.dense(1.0, 5.0)))
).toDF("a", "b")
val groupAttr = new AttributeGroup(
"b",
Array[Attribute](
NumericAttribute.defaultAttr.withName("foo"),
NumericAttribute.defaultAttr.withName("bar")))
val df = data.select(
col("a").as(
"a", NominalAttribute.defaultAttr.withValues(Array("up", "down", "left")).toMetadata()),
col("b").as("b", groupAttr.toMetadata()))
val trans = new Interaction().setInputCols(Array("a", "b")).setOutputCol("features")
val res = trans.transform(df)
val expected = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(3.0, 4.0), Vectors.dense(0, 0, 0, 0, 3, 4)),
(1, Vectors.dense(1.0, 5.0), Vectors.dense(0, 0, 1, 5, 0, 0)))
).toDF("a", "b", "features")
assert(res.collect() === expected.collect())
val attrs = AttributeGroup.fromStructField(res.schema("features"))
val expectedAttrs = new AttributeGroup(
"features",
Array[Attribute](
new NumericAttribute(Some("a_up:b_foo"), Some(1)),
new NumericAttribute(Some("a_up:b_bar"), Some(2)),
new NumericAttribute(Some("a_down:b_foo"), Some(3)),
new NumericAttribute(Some("a_down:b_bar"), Some(4)),
new NumericAttribute(Some("a_left:b_foo"), Some(5)),
new NumericAttribute(Some("a_left:b_bar"), Some(6))))
assert(attrs === expectedAttrs)
}
test("default attr names") {
val data = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(0.0, 4.0), 1.0),
(1, Vectors.dense(1.0, 5.0), 10.0))
).toDF("a", "b", "c")
val groupAttr = new AttributeGroup(
"b",
Array[Attribute](
NominalAttribute.defaultAttr.withNumValues(2),
NumericAttribute.defaultAttr))
val df = data.select(
col("a").as("a", NominalAttribute.defaultAttr.withNumValues(3).toMetadata()),
col("b").as("b", groupAttr.toMetadata()),
col("c").as("c", NumericAttribute.defaultAttr.toMetadata()))
val trans = new Interaction().setInputCols(Array("a", "b", "c")).setOutputCol("features")
val res = trans.transform(df)
val expected = sqlContext.createDataFrame(
Seq(
(2, Vectors.dense(0.0, 4.0), 1.0, Vectors.dense(0, 0, 0, 0, 0, 0, 1, 0, 4)),
(1, Vectors.dense(1.0, 5.0), 10.0, Vectors.dense(0, 0, 0, 0, 10, 50, 0, 0, 0)))
).toDF("a", "b", "c", "features")
assert(res.collect() === expected.collect())
val attrs = AttributeGroup.fromStructField(res.schema("features"))
val expectedAttrs = new AttributeGroup(
"features",
Array[Attribute](
new NumericAttribute(Some("a_0:b_0_0:c"), Some(1)),
new NumericAttribute(Some("a_0:b_0_1:c"), Some(2)),
new NumericAttribute(Some("a_0:b_1:c"), Some(3)),
new NumericAttribute(Some("a_1:b_0_0:c"), Some(4)),
new NumericAttribute(Some("a_1:b_0_1:c"), Some(5)),
new NumericAttribute(Some("a_1:b_1:c"), Some(6)),
new NumericAttribute(Some("a_2:b_0_0:c"), Some(7)),
new NumericAttribute(Some("a_2:b_0_1:c"), Some(8)),
new NumericAttribute(Some("a_2:b_1:c"), Some(9))))
assert(attrs === expectedAttrs)
}
test("read/write") {
val t = new Interaction()
.setInputCols(Array("myInputCol", "myInputCol2"))
.setOutputCol("myOutputCol")
testDefaultReadWrite(t)
}
}
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