The most basic thing this operator does is to convert an example set containing a single attribute into an example set containing multiple attributes. The values of the multiple attributes in a single row of the new example set are in the same order as the single attributes in the original example set.
An example helps as always; this uses the following process.
<operator name="Root" class="Process" expanded="yes">
<operator name="ExampleSetGenerator" class="ExampleSetGenerator">
<parameter key="target_function" value="sum"/>
<parameter key="number_of_attributes" value="1"/>
</operator>
<operator name="AttributeFilter" class="AttributeFilter">
<parameter key="condition_class" value="attribute_name_filter"/>
<parameter key="parameter_string" value="label"/>
<parameter key="invert_filter" value="true"/>
<parameter key="apply_on_special" value="true"/>
</operator>
<operator name="MultivariateSeries2WindowExamples" class="MultivariateSeries2WindowExamples">
<parameter key="window_size" value="10"/>
</operator>
</operator>
This is a picture of the example set before loading into the MultivariateSeries2WindowExamples operator
This is the picture of the example set after.
Notice how the value of att1 for id 1 in the first example set is 2.468 and this becomes att1-9 in the first row of the second example set. The value 7.267 for id 2 become att1-8 and so on.
This example uses the parameter value "encode_series_by_examples". This means the operator looks down the consecutive examples to produce the horizontal attribute values.
If the parameter is set to "encode_series_by_attributes" the operator looks horizontally along the attributes of the first set to produce the output example set.
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Saturday, 14 November 2009
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