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| author | WeichenXu <WeichenXu123@outlook.com> | 2016-10-25 21:42:59 -0700 |
|---|---|---|
| committer | Felix Cheung <felixcheung@apache.org> | 2016-10-25 21:42:59 -0700 |
| commit | 12b3e8d2e02788c3bebfecdd69755e94d80011c9 (patch) | |
| tree | a8577ebadef6f612401fb7bd92d22d23f4a30ced /R/pkg/inst/tests | |
| parent | c329a568b58d65c492a43926bf0f588f2ae6a66e (diff) | |
| download | spark-12b3e8d2e02788c3bebfecdd69755e94d80011c9.tar.gz spark-12b3e8d2e02788c3bebfecdd69755e94d80011c9.tar.bz2 spark-12b3e8d2e02788c3bebfecdd69755e94d80011c9.zip | |
[SPARK-18007][SPARKR][ML] update SparkR MLP - add initalWeights parameter
## What changes were proposed in this pull request?
update SparkR MLP, add initalWeights parameter.
## How was this patch tested?
test added.
Author: WeichenXu <WeichenXu123@outlook.com>
Closes #15552 from WeichenXu123/mlp_r_add_initialWeight_param.
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", { |