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| author | WeichenXu <WeichenXu123@outlook.com> | 2016-09-23 11:14:22 -0700 |
|---|---|---|
| committer | Felix Cheung <felixcheung@apache.org> | 2016-09-23 11:14:22 -0700 |
| commit | f89808b0fdbc04e1bdff1489a6ec4c84ddb2adc4 (patch) | |
| tree | d7f2cb9d4e595f02e675b71ff19038fe203e2b1a /core/src/test/java | |
| parent | 90d5754212425d55f992c939a2bc7d9ac6ef92b8 (diff) | |
| download | spark-f89808b0fdbc04e1bdff1489a6ec4c84ddb2adc4.tar.gz spark-f89808b0fdbc04e1bdff1489a6ec4c84ddb2adc4.tar.bz2 spark-f89808b0fdbc04e1bdff1489a6ec4c84ddb2adc4.zip | |
[SPARK-17499][SPARKR][ML][MLLIB] make the default params in sparkR spark.mlp consistent with MultilayerPerceptronClassifier
## What changes were proposed in this pull request?
update `MultilayerPerceptronClassifierWrapper.fit` paramter type:
`layers: Array[Int]`
`seed: String`
update several default params in sparkR `spark.mlp`:
`tol` --> 1e-6
`stepSize` --> 0.03
`seed` --> NULL ( when seed == NULL, the scala-side wrapper regard it as a `null` value and the seed will use the default one )
r-side `seed` only support 32bit integer.
remove `layers` default value, and move it in front of those parameters with default value.
add `layers` parameter validation check.
## How was this patch tested?
tests added.
Author: WeichenXu <WeichenXu123@outlook.com>
Closes #15051 from WeichenXu123/update_py_mlp_default.
Diffstat (limited to 'core/src/test/java')
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