NearestNeighbors

kinkounio

Hi.

I have a problem with a NearestNeighbors project.

My code is :

<operator name="Root" class="Process" expanded="yes">
    <operator name="ExampleSource" class="ExampleSource">
        <parameter key="attributes" value="/home/kinkounio/Descargues/Projectes/pfc/f_historic.aml"/>
        <parameter key="sample_size" value="1"/>
    </operator>
    <operator name="FeatureRangeRemoval" class="FeatureRangeRemoval">
        <parameter key="first_attribute" value="1"/>
        <parameter key="last_attribute" value="5"/>
    </operator>
    <operator name="NearestNeighbors" class="NearestNeighbors">
    </operator>
    <operator name="ExampleSource (2)" class="ExampleSource">
        <parameter key="attributes" value="/home/kinkounio/Descargues/Projectes/pfc/f_diari.aml"/>
        <parameter key="sample_size" value="1"/>
    </operator>
    <operator name="ModelApplier" class="ModelApplier">
        <list key="application_parameters">
        </list>
    </operator>
</operator>

and the problem say: 

[Warning] KNNRegression: The order of attributes is not equal for the training and the application example set. This might lead to problems for some models.
[Warning] KNNRegression: The given example set does not contain a regular attribute with name 'dades12.txt ( 7 )'. This might cause problems for some models depending on this particular attribute.
[Warning] KNNRegression: The given example set does not contain a regular attribute with name 'dades12.txt ( 8 )'. This might cause problems for some models depending on this particular attribute.
[Warning] KNNRegression: The given example set does not contain a regular attribute with name 'dades12.txt ( 9 )'. This might cause problems for some models depending on this particular attribute.

...

The result is the first line of the one file.

Help me !!  Thanks.

haddock

Hi,

What your code does is pretty simple.

1. Load training examples.
2. Remove some attributes.
3. Make a model.
4. Load test examples.
5. Apply the model.

But if your test and training examples are not in the same form problems are to be expected. Therefore, if your assignment training and test sets are of the same form, you will need to repeat step 2 on the test set.