Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
IndexOutOfBoundsException
Contributor II
Hello,
I am trying to select the ten most "important" variables out of 24. The goal is to use the first component of PCA analysis to find these ten variables. I have set "generations_without_improval" in the WeightGuidedFeatureSelection to 14 - so that ten variables are selection. I've tried various numbers and sometimes I get the following error and sometimes I do not. The error I keep getting is, "Process Failed IndexOutOfBoundException caught: Index:0, Size:0.
My process looks like this,
Root
>ExampleSource
>PCAWeighting
>WeightGuidedFeatureSelection
>>Xvalidation
>>>LinearRegression
>>>OperatorChain
>>>>ModelApplier
>>>>RegressionPerformance
Does anyone know what this error means? I've tried searching the documentation but cannot find it. Does anyone know possibly a different way to use PCA to select the ten most "important" variables (i.e. eliminating the redundant members)? Thanks for any help as it is greatly appreciated!!!
-Tyler
I am trying to select the ten most "important" variables out of 24. The goal is to use the first component of PCA analysis to find these ten variables. I have set "generations_without_improval" in the WeightGuidedFeatureSelection to 14 - so that ten variables are selection. I've tried various numbers and sometimes I get the following error and sometimes I do not. The error I keep getting is, "Process Failed IndexOutOfBoundException caught: Index:0, Size:0.
My process looks like this,
Root
>ExampleSource
>PCAWeighting
>WeightGuidedFeatureSelection
>>Xvalidation
>>>LinearRegression
>>>OperatorChain
>>>>ModelApplier
>>>>RegressionPerformance
Does anyone know what this error means? I've tried searching the documentation but cannot find it. Does anyone know possibly a different way to use PCA to select the ten most "important" variables (i.e. eliminating the redundant members)? Thanks for any help as it is greatly appreciated!!!
-Tyler
0
Answers
this error message denotes an internal memory addressing issue, that is simply a bug and not a hand crafted error message standing anywhere in the documentation.
I would suggest to update to RapidMiner 5.0, since we don't maintain the RapidMiner 4.6 community version anymore. There's a fair chance this issue has already be solved with RapidMiner 5.
Greetings,
Sebastian