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Hi,
these algorithms aren't currently incorporated into RapidMiner. For getting a general impression how to work with filters, please go through all sample processes in the sample repository that comes with RapidMiner.
Greetings,
Sebastian
PS:
This is the free forum, the answers will not arrive after five minutes. Get used to it or buy support with guaranteed response time.
these algorithms aren't currently incorporated into RapidMiner. For getting a general impression how to work with filters, please go through all sample processes in the sample repository that comes with RapidMiner.
Greetings,
Sebastian
PS:
This is the free forum, the answers will not arrive after five minutes. Get used to it or buy support with guaranteed response time.
thanks alot for your reply.
One more problem i faced in Rapidminer is when i use 'Forward Selection' and run the process it shows no data is delivered at 'port forward selection performance'
and same when i use 'Logistic Regression' ´with the same data when i run it. It shows 'Learning scheme logistic regression does not have sufficient capabilities for the given data set, polynominal label not supported'
so please tell me where i am making mistake and how can i overcome this....
Regards
One more problem i faced in Rapidminer is when i use 'Forward Selection' and run the process it shows no data is delivered at 'port forward selection performance'
and same when i use 'Logistic Regression' ´with the same data when i run it. It shows 'Learning scheme logistic regression does not have sufficient capabilities for the given data set, polynominal label not supported'
so please tell me where i am making mistake and how can i overcome this....
Regards

Hi,
to your first question: What is unclear on this messages? I guess your process design is wrong and does not deliver a performance to the respective port. Insert a cross validation with the needed child operators to estimate the performance.
Logistic Regression doesn't support more than two classes (=polynominal label). Where is the problem with that error message?
No, I can't tell you, why it fails on your side, while everybody else can download it. At least not if you don't describe in more detail what error is shown and what happens.
Greetings,
Sebastian
to your first question: What is unclear on this messages? I guess your process design is wrong and does not deliver a performance to the respective port. Insert a cross validation with the needed child operators to estimate the performance.
Logistic Regression doesn't support more than two classes (=polynominal label). Where is the problem with that error message?
No, I can't tell you, why it fails on your side, while everybody else can download it. At least not if you don't describe in more detail what error is shown and what happens.
Greetings,
Sebastian
can you tell me about how can i work in rapidminer with there filters
Wilcoxon Rank Sum
Plus L take away R
Correlation based Feature Selection (CFS)
Please somebody reply me about this!