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AdditiveRegression

Hallo,

I will use the feature additve Regression, but the model does'nt work.
Can somebody tell me why?
Best regards

<operator name="Root" class="Process" expanded="yes">
<operator name="ExampleSetGenerator" class="ExampleSetGenerator">
<parameter key="target_function" value="polynomial"/>
</operator>
<operator name="AdditiveRegression" class="AdditiveRegression" expanded="yes">
</operator>
</operator>

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haddock

Hi there,

If you run this you get an error message like this....

G Nov 25, 2009 10:06:05 AM: [Error] AdditiveRegression: AdditiveRegression: Operator has 0 children, should be 1

G Nov 25, 2009 10:06:05 AM: [Error] Process setup not ok

G Nov 25, 2009 10:06:05 AM: [Error] There was 1 error.

If you do not understand this I suggest you do Help->Rapidminer Tutorial and make your way through it ( tip.. Additive adds what? ).

Legacy User

hi,

this i my problem. Can you create me an example were the lerner additiveRegression is integrated.
I have read the manual, but I have problem to create such a model

Many thanks and best reagards

Angela

haddock

G'Day,

I'm not sure that you understand what additive regression is, even though you have decided to use it, and I don't think you spent much time trying to figure this out....

Description: This operator uses regression learner as a base learner. The
learner starts with a default model (mean or mode) as a first prediction model.
In each iteration it learns a new base model and applies it to the example set.
Then, the residuals of the labels are calculated and the next base model is
learned. The learned meta model predicts the label by adding all base model
predictions.

Nevertheless here is a clue...

<operator name="Root" class="Process" expanded="yes">
    <description text="RTFM."/>
    <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
        <parameter key="target_function"	value="random"/>
    </operator>
    <operator name="AdditiveRegression" class="AdditiveRegression" expanded="yes">
        <operator name="LinearRegression" class="LinearRegression">
        </operator>
    </operator>
</operator>

Legacy User

dear haddock

many thanks for this information and help.
I try to find out, how additiveRegression work and how I can interpret the results.
I think, this is sommetimes a Problem in using rapidminer, that the documentation has 800 pages, but the statistical function are only slightly explained.
This is difficult when one

This is difficult when one uses the function, but it can not describe well.

Best regards