See https://issues.apache.org/jira/browse/SPARK-17588
On Wed, Oct 12, 2016 at 9:07 PM Meeraj Kunnumpurath <
mee...@servicesymphony.com> wrote:
> If I drop the last feature on the third model, the error seems to go away.
>
> On Wed, Oct 12, 2016 at 11:52 PM, Meeraj Kunnumpurath <
> mee...@servicesymphony.com> wrote:
>
> Hello,
>
> I have some code trying to compare linear regression coefficients with
> three sets of features, as shown below. On the third one, I get an
> assertion error.
>
> This is the code,
>
> object MultipleRegression extends App {
>
>
>
> val spark = SparkSession.builder().appName("Regression Model
> Builder").master("local").getOrCreate()
>
> import spark.implicits._
>
> val training = build("kc_house_train_data.csv", "train", spark)
> val test = build("kc_house_test_data.csv", "test", spark)
>
> val lr = new LinearRegression()
>
> val m1 = lr.fit(training.map(r => buildLp(r, "sqft_living", "bedrooms",
> "bathrooms", "lat", "long")))
> println(s"Coefficients: ${m1.coefficients}, Intercept: ${m1.intercept}")
>
> val m2 = lr.fit(training.map(r => buildLp(r, "sqft_living", "bedrooms",
> "bathrooms", "lat", "long", "bed_bath_rooms")))
> println(s"Coefficients: ${m2.coefficients}, Intercept: ${m2.intercept}")
>
> val m3 = lr.fit(training.map(r => buildLp(r, "sqft_living", "bedrooms",
> "bathrooms", "lat", "long", "bed_bath_rooms", "bedrooms_squared",
> "log_sqft_living", "lat_plus_long")))
> println(s"Coefficients: ${m3.coefficients}, Intercept: ${m3.intercept}")
>
>
> def build(path: String, view: String, spark: SparkSession) = {
>
> val toDouble = udf((x: String) => x.toDouble)
> val product = udf((x: Double, y: Double) => x * y)
> val sum = udf((x: Double, y: Double) => x + y)
> val log = udf((x: Double) => scala.math.log(x))
>
> spark.read.
> option("header", "true").
> csv(path).
> withColumn("sqft_living", toDouble('sqft_living)).
> withColumn("price", toDouble('price)).
> withColumn("bedrooms", toDouble('bedrooms)).
> withColumn("bathrooms", toDouble('bathrooms)).
> withColumn("lat", toDouble('lat)).
> withColumn("long", toDouble('long)).
> withColumn("bedrooms_squared", product('bedrooms, 'bedrooms)).
> withColumn("bed_bath_rooms", product('bedrooms, 'bathrooms)).
> withColumn("lat_plus_long", sum('lat, 'long)).
> withColumn("log_sqft_living", log('sqft_living))
>
> }
>
> def buildLp(r: Row, input: String*) = {
> var features = input.map(r.getAs[Double](_)).toArray
> new LabeledPoint(r.getAs[Double]("price"), Vectors.dense(features))
> }
>
> }
>
>
> This is the error I get.
>
> Exception in thread "main" java.lang.AssertionError: assertion failed:
> lapack.dppsv returned 9.
> at scala.Predef$.assert(Predef.scala:170)
> at
> org.apache.spark.mllib.linalg.CholeskyDecomposition$.solve(CholeskyDecomposition.scala:40)
> at
> org.apache.spark.ml.optim.WeightedLeastSquares.fit(WeightedLeastSquares.scala:140)
> at org.apache.spark.ml
> .regression.LinearRegression.train(LinearRegression.scala:180)
> at org.apache.spark.ml
> .regression.LinearRegression.train(LinearRegression.scala:70)
> at org.apache.spark.ml.Predictor.fit(Predictor.scala:90)
> at
> com.ss.ml.regression.MultipleRegression$.delayedEndpoint$com$ss$ml$regression$MultipleRegression$1(MultipleRegression.scala:36)
> at
> com.ss.ml.regression.MultipleRegression$delayedInit$body.apply(MultipleRegression.scala:12)
> at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
> at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
> at scala.App$$anonfun$main$1.apply(App.scala:76)
> at scala.App$$anonfun$main$1.apply(App.scala:76)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at
> scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
> at scala.App$class.main(App.scala:76)
> at
> com.ss.ml.regression.MultipleRegression$.main(MultipleRegression.scala:12)
> at com.ss.ml.regression.MultipleRegression.main(MultipleRegression.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:483)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
>
>
> Does anyone know what is going wrong here?
>
> Many thanks
>
> --
> *Meeraj Kunnumpurath*
>
>
> *Director and Executive PrincipalService Symphony Ltd00 44 7702 693597
> <07702%20693597>*
>
> *00 971 50 409 0169 <+971%2050%20409%200169>mee...@servicesymphony.com
> <mee...@servicesymphony.com>*
>
>
>
>
> --
> *Meeraj Kunnumpurath*
>
>
> *Director and Executive PrincipalService Symphony Ltd00 44 7702 693597
> <07702%20693597>*
>
> *00 971 50 409 0169 <+971%2050%20409%200169>mee...@servicesymphony.com
> <mee...@servicesymphony.com>*
>
