Comments (1)
Never mind, I think I was misunderstanding what was going on. I was thinking that I should have a sum of squared errors on the actual training data (which is wrong), so all we're doing is checking the difference between the predicted value and the actual to get the sumofsquarederror
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Related Issues (15)
- Unit tests and JUnit integration HOT 2
- Useful dependencies: guava, apache commons, junit, functional java
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- build fail with ant HOT 1
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- Bug in knapsack jython file HOT 1
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