WeichenXu f89808b0fd [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.		2016-09-23 11:14:22 -07:00
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src	[SPARK-17499][SPARKR][ML][MLLIB] make the default params in sparkR spark.mlp consistent with MultilayerPerceptronClassifier	2016-09-23 11:14:22 -07:00
pom.xml	[SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent	2016-07-19 11:59:46 +01:00