[solved]Running Different Data on same operators and 2 others Q

blueearth

Hi ...i have 11 different data sets and i want to run them on some operators in one process
but i want to to know how to do that with out duplicating operators for 11 times
i mean is there a way to connect all data sets to operators and they read them respectively and  append all data with log and log to data and make a final exel from them?

Second Question: if there is no way for doing what i described ..how can i copy operators in same process with out change in their arrangment...cause when i copy operators they don't  have the original arrangment ..
thanks

Third Question : if i got two processes ...is there a way that second process start automatically as the first process finished?

MariusHelf

Very good questions. I split my answer into three posts for better readability.

First Answer: You can Collect your data and then use Loop Collection. Please see the attached process.

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.006">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.006" expanded="true" name="Process">
    <process expanded="true" height="501" width="770">
      <operator activated="true" class="generate_data" compatibility="5.2.006" expanded="true" height="60" name="Generate Data" width="90" x="45" y="75">
        <parameter key="target_function" value="multi classification"/>
      </operator>
      <operator activated="true" class="generate_data" compatibility="5.2.006" expanded="true" height="60" name="Generate Data (2)" width="90" x="45" y="165">
        <parameter key="target_function" value="multi classification"/>
      </operator>
      <operator activated="true" class="generate_data" compatibility="5.2.006" expanded="true" height="60" name="Generate Data (3)" width="90" x="45" y="255">
        <parameter key="target_function" value="multi classification"/>
      </operator>
      <operator activated="true" class="generate_data" compatibility="5.2.006" expanded="true" height="60" name="Generate Data (4)" width="90" x="45" y="345">
        <parameter key="target_function" value="multi classification"/>
      </operator>
      <operator activated="true" class="collect" compatibility="5.2.006" expanded="true" height="130" name="Collect" width="90" x="179" y="75"/>
      <operator activated="true" class="loop_collection" compatibility="5.2.006" expanded="true" height="76" name="Loop Collection" width="90" x="313" y="75">
        <process expanded="true" height="501" width="614">
          <operator activated="true" class="naive_bayes" compatibility="5.2.006" expanded="true" height="76" name="Naive Bayes" width="90" x="45" y="30"/>
          <operator activated="true" class="apply_model" compatibility="5.2.006" expanded="true" height="76" name="Apply Model" width="90" x="180" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.2.006" expanded="true" height="76" name="Performance" width="90" x="313" y="30"/>
          <operator activated="true" class="log" compatibility="5.2.006" expanded="true" height="76" name="Log" width="90" x="447" y="30">
            <list key="log">
              <parameter key="performance" value="operator.Performance.value.performance"/>
            </list>
          </operator>
          <connect from_port="single" to_op="Naive Bayes" to_port="training set"/>
          <connect from_op="Naive Bayes" from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_op="Naive Bayes" from_port="exampleSet" 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_op="Log" to_port="through 1"/>
          <connect from_op="Log" from_port="through 1" to_port="output 1"/>
          <portSpacing port="source_single" spacing="0"/>
          <portSpacing port="sink_output 1" spacing="0"/>
          <portSpacing port="sink_output 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" breakpoints="after" class="log_to_data" compatibility="5.2.006" expanded="true" height="94" name="Log to Data" width="90" x="447" y="75">
        <parameter key="log_name" value="Log"/>
      </operator>
      <operator activated="true" class="write_excel" compatibility="5.2.006" expanded="true" height="76" name="Write Excel" width="90" x="581" y="75">
        <parameter key="excel_file" value="tmp.xls"/>
      </operator>
      <connect from_op="Generate Data" from_port="output" to_op="Collect" to_port="input 1"/>
      <connect from_op="Generate Data (2)" from_port="output" to_op="Collect" to_port="input 2"/>
      <connect from_op="Generate Data (3)" from_port="output" to_op="Collect" to_port="input 3"/>
      <connect from_op="Generate Data (4)" from_port="output" to_op="Collect" to_port="input 4"/>
      <connect from_op="Collect" from_port="collection" to_op="Loop Collection" to_port="collection"/>
      <connect from_op="Loop Collection" from_port="output 1" to_op="Log to Data" to_port="through 1"/>
      <connect from_op="Log to Data" from_port="exampleSet" to_op="Write Excel" to_port="input"/>
      <connect from_op="Write Excel" from_port="through" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>