transform data to series

walidos07

Hello,
my data are defined as follows:
Sample T1 T2 T3 T4
S1 s11 s12 s13 s14
S2 s21 s22 s23 s24
S3 s31 s32 s33 s34
Each line is a time series data.
my question:how to transform my data to use series operators such as discrete wavelet transform for each instance s1, s2 and s3.
thank you for your help

awchisholm

Here's an example that you could use as a basis.

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.0">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.0.8" expanded="true" name="Process">
    <process expanded="true" height="521" width="614">
      <operator activated="true" class="series:generate_example_set_series" compatibility="5.0.2" expanded="true" height="60" name="Generate Data (Series)" width="90" x="45" y="75">
        <parameter key="number_of_examples" value="200"/>
        <parameter key="number_of_frequencies" value="1"/>
      </operator>
      <operator activated="true" class="series:process_series" compatibility="5.0.2" expanded="true" height="76" name="Process Series" width="90" x="179" y="75">
        <parameter key="start_attribute" value="att0"/>
        <parameter key="end_attribute" value="att512"/>
        <process expanded="true" height="716" width="707">
          <operator activated="true" class="series:window_transformation" compatibility="5.0.2" expanded="true" height="60" name="Window Transformation" width="90" x="45" y="75">
            <parameter key="function_type" value="Bartlett"/>
          </operator>
          <operator activated="true" class="series:discrete_fourier_transformation" compatibility="5.0.2" expanded="true" height="60" name="Discrete Fourier Transformation" width="90" x="179" y="75"/>
          <operator activated="true" class="series:extract_peak" compatibility="5.0.2" expanded="true" height="60" name="Extract Peak" width="90" x="313" y="75">
            <parameter key="number_of_peaks" value="1"/>
          </operator>
          <connect from_port="series" to_op="Window Transformation" to_port="series"/>
          <connect from_op="Window Transformation" from_port="series" to_op="Discrete Fourier Transformation" to_port="series"/>
          <connect from_op="Discrete Fourier Transformation" from_port="series" to_op="Extract Peak" to_port="series"/>
          <connect from_op="Extract Peak" from_port="series" to_port="series"/>
          <portSpacing port="source_series" spacing="0"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="sink_series" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.0.0" expanded="true" height="112" name="Validation" width="90" x="380" y="75">
        <description>A cross validation including a linear regression.</description>
        <process expanded="true" height="654" width="466">
          <operator activated="true" class="support_vector_machine" compatibility="5.0.8" expanded="true" height="112" name="SVM" width="90" x="188" y="30"/>
          <connect from_port="training" to_op="SVM" to_port="training set"/>
          <connect from_op="SVM" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="654" width="466">
          <operator activated="true" class="apply_model" compatibility="5.0.0" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.0.0" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Generate Data (Series)" from_port="output" to_op="Process Series" to_port="example set"/>
      <connect from_op="Process Series" from_port="example set" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="model" to_port="result 1"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Andrew

wessel

This example is really good.

Do you have more examples?

I hardly ever use: "Process Series" because I don't understand how it works.
But it seems really powerful.

awchisholm

Hello

There are a few more examples on my blog

http://rapidminernotes.blogspot.co.uk/search/label/Valueseries

Andrew

wessel

I don't understand how to download those .xml files on your blog.

awchisholm

For reasons I can't remember now, I keep all the files in Google Docs and it's too late to change now.

Keep following the links until you find them.

Andrew