Github user actuaryzhang commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16699#discussion_r100974891
  
    --- Diff: 
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
 ---
    @@ -798,77 +798,160 @@ class GeneralizedLinearRegressionSuite
         }
       }
     
    -  test("glm summary: gaussian family with weight") {
    +  test("generalized linear regression with offset") {
         /*
    -       R code:
    +      R code:
    +      library(statmod)
     
    -       A <- matrix(c(0, 1, 2, 3, 5, 7, 11, 13), 4, 2)
    -       b <- c(17, 19, 23, 29)
    -       w <- c(1, 2, 3, 4)
    -       df <- as.data.frame(cbind(A, b))
    -     */
    -    val datasetWithWeight = Seq(
    -      Instance(17.0, 1.0, Vectors.dense(0.0, 5.0).toSparse),
    -      Instance(19.0, 2.0, Vectors.dense(1.0, 7.0)),
    -      Instance(23.0, 3.0, Vectors.dense(2.0, 11.0)),
    -      Instance(29.0, 4.0, Vectors.dense(3.0, 13.0))
    +      df <- as.data.frame(matrix(c(
    +        0.2, 1.0, 2.0, 0.0, 5.0,
    +        0.5, 2.1, 0.5, 1.0, 2.0,
    +        0.9, 0.4, 1.0, 2.0, 1.0,
    +        0.7, 0.7, 0.0, 3.0, 3.0), 4, 5, byrow = TRUE))
    +      families <- list(gaussian, binomial, poisson, Gamma, tweedie(1.5))
    +      f1 <- V1 ~ -1 + V4 + V5
    +      f2 <- V1 ~ V4 + V5
    +      for (f in c(f1, f2)) {
    +        for (fam in families) {
    +          model <- glm(f, df, family = fam, weights = V2, offset = V3)
    +          print(as.vector(coef(model)))
    +        }
    +      }
    +      [1]  0.5169222 -0.3344444
    +      [1]  0.9419107 -0.6864404
    +      [1]  0.1812436 -0.6568422
    +      [1] -0.2869094  0.7857710
    +      [1] 0.1055254 0.2979113
    +      [1] -0.05990345  0.53188982 -0.32118415
    +      [1] -0.2147117  0.9911750 -0.6356096
    +      [1] -1.5616130  0.6646470 -0.3192581
    +      [1]  0.3390397 -0.3406099  0.6870259
    +      [1] 0.3665034 0.1039416 0.1484616
    +    */
    +    val dataset = Seq(
    +      OffsetInstance(0.2, 1.0, 2.0, Vectors.dense(0.0, 5.0)),
    +      OffsetInstance(0.5, 2.1, 0.5, Vectors.dense(1.0, 2.0)),
    +      OffsetInstance(0.9, 0.4, 1.0, Vectors.dense(2.0, 1.0)),
    +      OffsetInstance(0.7, 0.7, 0.0, Vectors.dense(3.0, 3.0))
         ).toDF()
    +
    +    val expected = Seq(
    +      Vectors.dense(0, 0.5169222, -0.3344444),
    +      Vectors.dense(0, 0.9419107, -0.6864404),
    +      Vectors.dense(0, 0.1812436, -0.6568422),
    +      Vectors.dense(0, -0.2869094, 0.785771),
    +      Vectors.dense(0, 0.1055254, 0.2979113),
    +      Vectors.dense(-0.05990345, 0.53188982, -0.32118415),
    +      Vectors.dense(-0.2147117, 0.991175, -0.6356096),
    +      Vectors.dense(-1.561613, 0.664647, -0.3192581),
    +      Vectors.dense(0.3390397, -0.3406099, 0.6870259),
    +      Vectors.dense(0.3665034, 0.1039416, 0.1484616))
    +
    +    import GeneralizedLinearRegression._
    +
    +    var idx = 0
    +
    +    for (fitIntercept <- Seq(false, true)) {
    +      for (family <- Seq("gaussian", "binomial", "poisson", "gamma", 
"tweedie")) {
    --- End diff --
    
    I did implement this, but it seems that the order of the values in 
`GeneralizedLinearRegression.supportedFamilyNames` changes from test to test... 
I'm not sure why this happened but since it's a minor issues, I just reverted 
it back.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to