Linear regression learner

KNIME Analytics Platform
1

Hi,

I get a strange warning from the Linear regression learner:

WARN      Linear Regression Learner          Type of column "sdf" is not one of the allowed types, which are numeric or nominal.

Is a column sdf in the input with a molecular structure. But, I don't use this column in the node.

However, the sdf does not appear neither in exclusions nor in incusions.

best Soren

2

Hi Soren,

I can reproduce the behavior and we will look into it for 2.10 (latest). I guess the workaround is to preprocess the data using a column filter node.

Thanks!
 Bernd

3

Ok, thanks!

4

The problem is an inconsistency in the way the Linear Regression Learner filters out column types that it does not support. It will be fixed in 2.10.

5

Hi,

Can the target of the learner be a Boolean type?

Based on the node description, it requires a Numeric Field.

But it seems I am able to select the "type" to be a boolean field, but when I execute the node, I get a Null Pointer Exception.

So i guess the answer is no?

2014-11-10 16:18:44,086 ERROR KNIME-Worker-79 Linear Regression Learner : Execute failed: ("NullPointerException"): null
2014-11-10 16:18:44,087 DEBUG KNIME-Worker-79 Linear Regression Learner : Execute failed: ("NullPointerException"): null
java.lang.NullPointerException
    at java.util.ArrayList.addAll(Unknown Source)
    at org.knime.base.node.mine.regression.RegressionTrainingData.<init>(RegressionTrainingData.java:155)
    at org.knime.base.node.mine.regression.RegressionTrainingData.<init>(RegressionTrainingData.java:101)
    at org.knime.base.node.mine.regression.linear2.learner.Learner.perform(Learner.java:106)
    at org.knime.base.node.mine.regression.linear2.learner.LinReg2Learner.execute(LinReg2Learner.java:131)
    at org.knime.base.node.mine.regression.linear2.learner.LinReg2LearnerNodeModel.execute(LinReg2LearnerNodeModel.java:160)
    at org.knime.core.node.NodeModel.executeModel(NodeModel.java:552)
    at org.knime.core.node.Node.invokeNodeModelExecute(Node.java:1097)
    at org.knime.core.node.Node.execute(Node.java:948)
    at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:529)
    at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95)
    at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:179)
    at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:110)
    at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
    at java.util.concurrent.FutureTask.run(Unknown Source)
    at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:120)
    at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:240)
2014-11-10 16:18:44,087 DEBUG KNIME-Worker-79 WorkflowManager : Linear Regression Learner 2:8 doBeforePostExecution
2014-11-10 16:18:44,087 DEBUG KNIME-Worker-79 NodeContainer : Linear Regression Learner 2:8 has new state: POSTEXECUTE
6

It might work if you compute the column's domain (most probably true and false :) ) with the Domain Calculator node. (The error message should clearly be improved though.)