Github user rawkintrevo commented on the pull request:
https://github.com/apache/flink/pull/1849#issuecomment-212633912
Also two quick issues.
*pipelines*
```scala
val scaler = MinMaxScaler()
val pipeline = scaler.chainPredictor(mlr)
val evaluationDS = survivalLV.map(x => (x.vector, x.label))
pipeline.fit(survivalLV)
scorer.evaluate(evaluationDS, pipeline).collect().head
```
When using this with a ChainedPredictor as the predictor I get the
following error:
error: could not find implicit value for parameter evaluateOperation:
org.apache.flink.ml.pipeline.EvaluateDataSetOperation[org.apache.flink.ml.pipeline.ChainedPredictor[org.apache.flink.ml.preprocessing.MinMaxScaler,org.apache.flink.ml.regression.MultipleLinearRegression],(org.apache.flink.ml.math.Vector,
Double),Double]
*MinMaxScaler()*
Merging for me broke the following code:
```scala
val scaler = MinMaxScaler()
val scaledSurvivalLV = scaler.transform(survivalLV)
```
With the following error (omiting part of the stack trace)
Caused by: java.lang.NoSuchMethodError:
breeze.linalg.Vector$.scalarOf()Lbreeze/linalg/support/ScalarOf;
at
org.apache.flink.ml.preprocessing.MinMaxScaler$$anonfun$3.apply(MinMaxScaler.scala:156)
at
org.apache.flink.ml.preprocessing.MinMaxScaler$$anonfun$3.apply(MinMaxScaler.scala:154)
at org.apache.flink.api.scala.DataSet$$anon$7.reduce(DataSet.scala:584)
at
org.apache.flink.runtime.operators.chaining.ChainedAllReduceDriver.collect(ChainedAllReduceDriver.java:93)
at
org.apache.flink.runtime.operators.chaining.ChainedMapDriver.collect(ChainedMapDriver.java:78)
at org.apache.flink.runtime.operators.MapDriver.run(MapDriver.java:97)
at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:480)
at
org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:345)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:559)
at java.lang.Thread.run(Thread.java:745)
I'm looking for a work around. Just saying I found a regression. Other
than that, looks/works AWESOME well done.
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