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"Loops / Iterations"
Contributor II
I consider the loops/iterations one of the most interesting tool of RapidMiner.
I am trying to use ClusterLoop, but something strange happened while using it.
In this example (see code) a ClusterLoop is set on the cluster-attribute: districtName. The ClusterLoop node contains a simple Replace node, which should “creates new attributes from nominal attributes with replaced substrings”: the Replace node is set on the attribute: dataset [“train”, “test”].
After setting the Debug-mode on, I start the process and check the results:
- the loop cycle accordingly to the different clusters, which is great!
- the values “test” are transformed into “TTTesTTT”, as expected
- the values “train” are transformed into “TTTesTTT” too bug?
For that reason, I decided to save them using the nodes WritePerformance and WriteModel. In the path I need to use the Parameter Macros. It seems that they do not work (is ralated to this bug? http://bugs.rapid-i.com/show_bug.cgi?id=84#c0
I tried both the old version %{a} and the one proposed in the tutorial %{loop_value} , but they didn’t work!
I am trying to use ClusterLoop, but something strange happened while using it.
In this example (see code) a ClusterLoop is set on the cluster-attribute: districtName. The ClusterLoop node contains a simple Replace node, which should “creates new attributes from nominal attributes with replaced substrings”: the Replace node is set on the attribute: dataset [“train”, “test”].
After setting the Debug-mode on, I start the process and check the results:
- the loop cycle accordingly to the different clusters, which is great!
- the values “test” are transformed into “TTTesTTT”, as expected
- the values “train” are transformed into “TTTesTTT” too bug?
<?xml version="1.0" encoding="UTF-8" standalone="no"?>In another process I work on each cluster applying a LinaerRegression. I want to see the results of the operation, but I am not able to show them in the “Result page”.
<process version="5.0">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" expanded="true" name="Process">
<process expanded="true" height="521" width="1016">
<operator activated="true" class="retrieve" expanded="true" height="60" name="TestData2" width="90" x="45" y="165">
<parameter key="repository_entry" value="data2"/>
</operator>
<operator activated="true" class="select_attributes" expanded="true" height="76" name="Select Attributes" width="90" x="179" y="165">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Year|House_size_tot|House_size|Basement_size|House_ground|DistrictName|Price_2009|ID|dataset"/>
</operator>
<operator activated="true" class="set_role" expanded="true" height="76" name="Set Role" width="90" x="313" y="165">
<parameter key="name" value="DistrictName"/>
<parameter key="target_role" value="cluster"/>
</operator>
<operator activated="true" class="loop_clusters" expanded="true" height="76" name="Loop Clusters" width="90" x="447" y="165">
<process expanded="true" height="502" width="1059">
<operator activated="true" class="replace" expanded="true" height="76" name="Replace" width="90" x="447" y="30">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="dataset"/>
<parameter key="replace_what" value="t"/>
<parameter key="replace_by" value="TTT"/>
</operator>
<connect from_port="cluster subset" to_op="Replace" to_port="example set input"/>
<connect from_op="Replace" from_port="example set output" to_port="out 1"/>
<portSpacing port="source_cluster subset" spacing="0"/>
<portSpacing port="source_in 1" spacing="0"/>
<portSpacing port="sink_out 1" spacing="0"/>
<portSpacing port="sink_out 2" spacing="0"/>
</process>
</operator>
<connect from_op="TestData2" from_port="output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Loop Clusters" to_port="example set"/>
<connect from_op="Loop Clusters" from_port="out 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="144"/>
</process>
</operator>
</process>
For that reason, I decided to save them using the nodes WritePerformance and WriteModel. In the path I need to use the Parameter Macros. It seems that they do not work (is ralated to this bug? http://bugs.rapid-i.com/show_bug.cgi?id=84#c0
I tried both the old version %{a} and the one proposed in the tutorial %{loop_value} , but they didn’t work!
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.0">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" expanded="true" name="Process">
<process expanded="true" height="521" width="1016">
<operator activated="true" class="retrieve" expanded="true" height="60" name="TestData2" width="90" x="45" y="165">
<parameter key="repository_entry" value="data2"/>
</operator>
<operator activated="true" class="select_attributes" expanded="true" height="76" name="Select Attributes" width="90" x="179" y="165">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Year|House_size_tot|House_size|Basement_size|House_ground|DistrictName|Price_2009|ID|dataset"/>
</operator>
<operator activated="true" class="set_role" expanded="true" height="76" name="Set Role" width="90" x="313" y="165">
<parameter key="name" value="DistrictName"/>
<parameter key="target_role" value="cluster"/>
</operator>
<operator activated="true" class="loop_clusters" expanded="true" height="76" name="Loop Clusters" width="90" x="447" y="165">
<process expanded="true" height="502" width="1016">
<operator activated="true" class="filter_examples" expanded="true" height="76" name="Filter Examples" width="90" x="45" y="30">
<parameter key="condition_class" value="attribute_value_filter"/>
<parameter key="parameter_string" value="dataset=train"/>
</operator>
<operator activated="true" class="select_attributes" expanded="true" height="76" name="Select Attributes (2)" width="90" x="313" y="30">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Year|House_size_tot|House_size|Basement_size|House_ground|DistrictName|Price_2009|ID"/>
</operator>
<operator activated="true" class="linear_regression" expanded="true" height="76" name="Linear Regression" width="90" x="447" y="30"/>
<operator activated="true" class="filter_examples" expanded="true" height="76" name="Filter Examples (3)" width="90" x="179" y="120">
<parameter key="condition_class" value="attribute_value_filter"/>
<parameter key="parameter_string" value="dataset=test"/>
</operator>
<operator activated="true" class="select_attributes" expanded="true" height="76" name="Select Attributes (3)" width="90" x="313" y="120">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Year|House_size_tot|House_size|Basement_size|House_ground|DistrictName|Price_2009|ID"/>
</operator>
<operator activated="true" class="apply_model" expanded="true" height="76" name="Apply Model" width="90" x="581" y="75">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_regression" expanded="true" height="76" name="Performance" width="90" x="782" y="30">
<parameter key="root_mean_squared_error" value="true"/>
</operator>
<operator activated="true" class="write_performance" expanded="true" height="60" name="Write Performance" width="90" x="916" y="30">
<parameter key="performance_file" value="C:\IO\loop\performance%{a}.per"/>
</operator>
<operator activated="true" class="write_model" expanded="true" height="60" name="Write Model" width="90" x="782" y="120">
<parameter key="model_file" value="C:\IO\loop\model%{a}.mod"/>
<parameter key="output_type" value="XML"/>
</operator>
<connect from_port="cluster subset" to_op="Filter Examples" to_port="example set input"/>
<connect from_op="Filter Examples" from_port="example set output" to_op="Select Attributes (2)" to_port="example set input"/>
<connect from_op="Filter Examples" from_port="original" to_op="Filter Examples (3)" to_port="example set input"/>
<connect from_op="Select Attributes (2)" from_port="example set output" to_op="Linear Regression" to_port="training set"/>
<connect from_op="Linear Regression" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Filter Examples (3)" from_port="example set output" to_op="Select Attributes (3)" to_port="example set input"/>
<connect from_op="Select Attributes (3)" from_port="example set output" 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="Apply Model" from_port="model" to_op="Write Model" to_port="input"/>
<connect from_op="Performance" from_port="performance" to_op="Write Performance" to_port="input"/>
<portSpacing port="source_cluster subset" spacing="0"/>
<portSpacing port="source_in 1" spacing="54"/>
<portSpacing port="sink_out 1" spacing="0"/>
</process>
</operator>
<connect from_op="TestData2" from_port="output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Loop Clusters" to_port="example set"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
</process>
</operator>
</process>
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Answers
could you try to reproduce this behavior on a generated example set? Then I simply could load your process and see what's going wrong.
Thank you in advance.
Greetings,
Sebastian
Here is the example code for the Replace problem:
Here is the example code for the save problem:
everything works fine for me, so every bug seems to be already fixed in the current version.
So your problems will be solved with the final version.
Greetings,
Sebastian