Now in JIRA form: https://issues.apache.org/jira/browse/SPARK-5844
On Tue, Feb 17, 2015 at 3:12 PM, Xiangrui Meng wrote:
> There are three different regParams defined in the grid and there are
> tree folds. For simplicity, we didn't split the dataset into three and
> reuse them, but do the split
There are three different regParams defined in the grid and there are
tree folds. For simplicity, we didn't split the dataset into three and
reuse them, but do the split for each fold. Then we need to cache 3*3
times. Note that the pipeline API is not yet optimized for
performance. It would be nice
Hi i have a problem. Using spark 1.2 with Pipeline + GridSearch +
LogisticRegression. I’ve reimplemented LogisticRegression.fit method and
comment out instances.unpersist()
|override def fit(dataset:SchemaRDD,
paramMap:ParamMap):LogisticRegressionModel = {
println(s"Fitting dataset ${da
