Opened 12 years ago

Closed 12 years ago

Last modified 10 years ago

#693 closed defect (done)

SVMs should not learn on rows where the target variable is nan

Reported by: mkommend Owned by: mkommend
Priority: medium Milestone: HeuristicLab 3.3.0
Component: ZZZ OBSOLETE: SupportVectorMachines Version: 3.2
Keywords: Cc:

Description

During the creation of the dataset it is possible that a specified target variable is null. LibSVM is not able to handle these null values and so the rows must be skipped respectively should not be include in the SVM problem.

Change History (5)

comment:1 Changed 12 years ago by mkommend

  • Owner changed from gkronber to mkommend
  • Status changed from new to assigned

comment:2 Changed 12 years ago by mkommend

ignored dataset rows where the target variable is nan during !SVM learning r2148

comment:3 Changed 12 years ago by mkommend

  • Resolution set to fixed
  • Status changed from assigned to closed

comment:4 Changed 10 years ago by swagner

  • Milestone changed from Iteration 4 to Current

Milestone Iteration 4 deleted

comment:11 Changed 10 years ago by swagner

  • Milestone changed from Current to HeuristicLab 3.3.0

Milestone Current deleted

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