diff options
Diffstat (limited to 'R/pkg/inst/tests')
| -rw-r--r-- | R/pkg/inst/tests/testthat/test_mllib.R | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/R/pkg/inst/tests/testthat/test_mllib.R b/R/pkg/inst/tests/testthat/test_mllib.R index c99315726a..33cc069f14 100644 --- a/R/pkg/inst/tests/testthat/test_mllib.R +++ b/R/pkg/inst/tests/testthat/test_mllib.R @@ -410,6 +410,21 @@ test_that("spark.mlp", { model <- spark.mlp(df, layers = c(4, 5, 4, 3), maxIter = 10, seed = 10) mlpPredictions <- collect(select(predict(model, mlpTestDF), "prediction")) expect_equal(head(mlpPredictions$prediction, 12), c(1, 1, 1, 1, 2, 1, 2, 2, 1, 0, 0, 1)) + + # test initialWeights + model <- spark.mlp(df, layers = c(4, 3), maxIter = 2, initialWeights = + c(0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9)) + mlpPredictions <- collect(select(predict(model, mlpTestDF), "prediction")) + expect_equal(head(mlpPredictions$prediction, 12), c(1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1)) + + model <- spark.mlp(df, layers = c(4, 3), maxIter = 2, initialWeights = + c(0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.0, 5.0, 5.0, 5.0, 9.0, 9.0, 9.0, 9.0, 9.0)) + mlpPredictions <- collect(select(predict(model, mlpTestDF), "prediction")) + expect_equal(head(mlpPredictions$prediction, 12), c(1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1)) + + model <- spark.mlp(df, layers = c(4, 3), maxIter = 2) + mlpPredictions <- collect(select(predict(model, mlpTestDF), "prediction")) + expect_equal(head(mlpPredictions$prediction, 12), c(1, 1, 1, 1, 0, 1, 0, 2, 1, 0, 0, 1)) }) test_that("spark.naiveBayes", { |