How to verify if process is truly running in parallel?
Hello,
This may be a silly question, but I have setup a process that is supposed to take advantage of the Parallel Processing Extension, but I don't see any way to determine if it is actually doing so properly. I'm looking at the number of cores being used by my machine and I don't see all of them working. I know in previous versions of RapidMiner, if I used the X-Val (Parallel) process, the display would show parallel processes as being separated with a "|" character, ie: ForwardSelection>>[1]Xval(Parallel) | [2]XVal(Parallel) | [3]XVal (Parallel), etc. Here is my process:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.008" expanded="true" height="60" name="Retrieve BELBIN transposed data all 82 HN cancer cases" width="90" x="246" y="30">
<parameter key="repository_entry" value="../data/BELBIN transposed data all 82 HN cancer cases"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.008" expanded="true" height="76" name="Set Role" width="90" x="447" y="30">
<parameter key="attribute_name" value="Final N Stage"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="wrapper_x_validation" compatibility="5.3.008" expanded="true" height="76" name="ForwardXVal" width="90" x="648" y="30">
<parameter key="leave_one_out" value="true"/>
<parameter key="parallelize_attribute_weighting" value="true"/>
<parameter key="parallelize_model_building" value="true"/>
<parameter key="parallelize_model_evaluation" value="true"/>
<process expanded="true">
<operator activated="true" class="optimize_selection_forward" compatibility="5.3.008" expanded="true" height="94" name="Forward Selection" width="90" x="45" y="30">
<parameter key="maximal_number_of_attributes" value="700"/>
<parameter key="speculative_rounds" value="5"/>
<parameter key="parallelize_learning_process" value="true"/>
<process expanded="true">
<operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="130" name="FSValidation" width="90" x="246" y="30">
<parameter key="leave_one_out" value="true"/>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (Linear)" width="90" x="112" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="training" to_op="SVM (Linear)" to_port="training set"/>
<connect from_op="SVM (Linear)" 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"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance" width="90" x="179" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<operator activated="true" class="performance_min_max" compatibility="5.3.008" expanded="true" height="60" name="Performance (2)" width="90" x="313" y="30">
<parameter key="minimum_weight" value="0.5"/>
</operator>
<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_port="through 1" to_port="averagable 2"/>
<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="Performance (2)" to_port="performance vector"/>
<connect from_op="Performance (2)" from_port="performance vector" 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="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
<portSpacing port="sink_averagable 3" spacing="0"/>
</process>
</operator>
<connect from_port="example set" to_op="FSValidation" to_port="training"/>
<connect from_op="FSValidation" from_port="averagable 1" to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_port="weighting set source" to_op="Forward Selection" to_port="example set"/>
<connect from_op="Forward Selection" from_port="attribute weights" to_port="attribute weights sink"/>
<portSpacing port="source_weighting set source" spacing="0"/>
<portSpacing port="sink_attribute weights sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (2)" width="90" x="45" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="train set source" to_op="SVM (2)" to_port="training set"/>
<connect from_op="SVM (2)" from_port="model" to_port="model sink"/>
<portSpacing port="source_train set source" spacing="0"/>
<portSpacing port="sink_model sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model (2)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance (3)" width="90" x="179" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<connect from_port="test set source" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_port="model source" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance (3)" to_port="labelled data"/>
<connect from_op="Performance (3)" from_port="performance" to_port="performance vector sink"/>
<portSpacing port="source_test set source" spacing="0"/>
<portSpacing port="source_model source" spacing="0"/>
<portSpacing port="sink_performance vector sink" spacing="0"/>
</process>
</operator>
<operator activated="true" class="select_by_weights" compatibility="5.3.008" expanded="true" height="94" name="Select by Weights" width="90" x="782" y="165">
<parameter key="weight_relation" value="greater"/>
<parameter key="weight" value="0.0"/>
</operator>
<operator activated="true" class="wrapper_x_validation" compatibility="5.3.008" expanded="true" height="76" name="BackwardXVal" width="90" x="916" y="165">
<parameter key="leave_one_out" value="true"/>
<parameter key="parallelize_attribute_weighting" value="true"/>
<parameter key="parallelize_model_building" value="true"/>
<parameter key="parallelize_model_evaluation" value="true"/>
<process expanded="true">
<operator activated="true" class="optimize_selection_backward" compatibility="5.3.008" expanded="true" height="94" name="Backward Elimination" width="90" x="45" y="30">
<parameter key="maximal_number_of_eliminations" value="36"/>
<parameter key="speculative_rounds" value="10"/>
<parameter key="parallelize_learning_process" value="true"/>
<process expanded="true">
<operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="130" name="FSValidation (2)" width="90" x="45" y="30">
<parameter key="leave_one_out" value="true"/>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="60" name="SVM (3)" width="90" x="271" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="training" to_op="SVM (3)" to_port="training set"/>
<connect from_op="SVM (3)" 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"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="60" name="Apply Model (3)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="60" name="Performance (4)" width="90" x="180" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<operator activated="true" class="performance_min_max" compatibility="5.3.008" expanded="true" height="60" name="Performance (5)" width="90" x="466" y="30">
<parameter key="minimum_weight" value="0.5"/>
</operator>
<connect from_port="model" to_op="Apply Model (3)" to_port="model"/>
<connect from_port="test set" to_op="Apply Model (3)" to_port="unlabelled data"/>
<connect from_port="through 1" to_port="averagable 2"/>
<connect from_op="Apply Model (3)" from_port="labelled data" to_op="Performance (4)" to_port="labelled data"/>
<connect from_op="Performance (4)" from_port="performance" to_op="Performance (5)" to_port="performance vector"/>
<connect from_op="Performance (5)" from_port="performance vector" 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="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
<portSpacing port="sink_averagable 3" spacing="0"/>
</process>
</operator>
<connect from_port="example set" to_op="FSValidation (2)" to_port="training"/>
<connect from_op="FSValidation (2)" from_port="averagable 1" to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_port="weighting set source" to_op="Backward Elimination" to_port="example set"/>
<connect from_op="Backward Elimination" from_port="attribute weights" to_port="attribute weights sink"/>
<portSpacing port="source_weighting set source" spacing="0"/>
<portSpacing port="sink_attribute weights sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (4)" width="90" x="102" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="train set source" to_op="SVM (4)" to_port="training set"/>
<connect from_op="SVM (4)" from_port="model" to_port="model sink"/>
<portSpacing port="source_train set source" spacing="0"/>
<portSpacing port="sink_model sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model (4)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance (6)" width="90" x="176" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<connect from_port="test set source" to_op="Apply Model (4)" to_port="unlabelled data"/>
<connect from_port="model source" to_op="Apply Model (4)" to_port="model"/>
<connect from_op="Apply Model (4)" from_port="labelled data" to_op="Performance (6)" to_port="labelled data"/>
<connect from_op="Performance (6)" from_port="performance" to_port="performance vector sink"/>
<portSpacing port="source_test set source" spacing="0"/>
<portSpacing port="source_model source" spacing="0"/>
<portSpacing port="sink_performance vector sink" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve BELBIN transposed data all 82 HN cancer cases" from_port="output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="ForwardXVal" to_port="example set in"/>
<connect from_op="Set Role" from_port="original" to_op="Select by Weights" to_port="example set input"/>
<connect from_op="ForwardXVal" from_port="performance vector out" to_port="result 1"/>
<connect from_op="ForwardXVal" from_port="attribute weights out" to_op="Select by Weights" to_port="weights"/>
<connect from_op="Select by Weights" from_port="example set output" to_op="BackwardXVal" to_port="example set in"/>
<connect from_op="BackwardXVal" from_port="performance vector out" to_port="result 2"/>
<connect from_op="BackwardXVal" from_port="attribute weights out" to_port="result 3"/>
<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"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>
Cheers,
Roberto
This may be a silly question, but I have setup a process that is supposed to take advantage of the Parallel Processing Extension, but I don't see any way to determine if it is actually doing so properly. I'm looking at the number of cores being used by my machine and I don't see all of them working. I know in previous versions of RapidMiner, if I used the X-Val (Parallel) process, the display would show parallel processes as being separated with a "|" character, ie: ForwardSelection>>[1]Xval(Parallel) | [2]XVal(Parallel) | [3]XVal (Parallel), etc. Here is my process:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.008" expanded="true" height="60" name="Retrieve BELBIN transposed data all 82 HN cancer cases" width="90" x="246" y="30">
<parameter key="repository_entry" value="../data/BELBIN transposed data all 82 HN cancer cases"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.008" expanded="true" height="76" name="Set Role" width="90" x="447" y="30">
<parameter key="attribute_name" value="Final N Stage"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="wrapper_x_validation" compatibility="5.3.008" expanded="true" height="76" name="ForwardXVal" width="90" x="648" y="30">
<parameter key="leave_one_out" value="true"/>
<parameter key="parallelize_attribute_weighting" value="true"/>
<parameter key="parallelize_model_building" value="true"/>
<parameter key="parallelize_model_evaluation" value="true"/>
<process expanded="true">
<operator activated="true" class="optimize_selection_forward" compatibility="5.3.008" expanded="true" height="94" name="Forward Selection" width="90" x="45" y="30">
<parameter key="maximal_number_of_attributes" value="700"/>
<parameter key="speculative_rounds" value="5"/>
<parameter key="parallelize_learning_process" value="true"/>
<process expanded="true">
<operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="130" name="FSValidation" width="90" x="246" y="30">
<parameter key="leave_one_out" value="true"/>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (Linear)" width="90" x="112" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="training" to_op="SVM (Linear)" to_port="training set"/>
<connect from_op="SVM (Linear)" 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"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance" width="90" x="179" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<operator activated="true" class="performance_min_max" compatibility="5.3.008" expanded="true" height="60" name="Performance (2)" width="90" x="313" y="30">
<parameter key="minimum_weight" value="0.5"/>
</operator>
<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_port="through 1" to_port="averagable 2"/>
<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="Performance (2)" to_port="performance vector"/>
<connect from_op="Performance (2)" from_port="performance vector" 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="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
<portSpacing port="sink_averagable 3" spacing="0"/>
</process>
</operator>
<connect from_port="example set" to_op="FSValidation" to_port="training"/>
<connect from_op="FSValidation" from_port="averagable 1" to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_port="weighting set source" to_op="Forward Selection" to_port="example set"/>
<connect from_op="Forward Selection" from_port="attribute weights" to_port="attribute weights sink"/>
<portSpacing port="source_weighting set source" spacing="0"/>
<portSpacing port="sink_attribute weights sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (2)" width="90" x="45" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="train set source" to_op="SVM (2)" to_port="training set"/>
<connect from_op="SVM (2)" from_port="model" to_port="model sink"/>
<portSpacing port="source_train set source" spacing="0"/>
<portSpacing port="sink_model sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model (2)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance (3)" width="90" x="179" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<connect from_port="test set source" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_port="model source" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance (3)" to_port="labelled data"/>
<connect from_op="Performance (3)" from_port="performance" to_port="performance vector sink"/>
<portSpacing port="source_test set source" spacing="0"/>
<portSpacing port="source_model source" spacing="0"/>
<portSpacing port="sink_performance vector sink" spacing="0"/>
</process>
</operator>
<operator activated="true" class="select_by_weights" compatibility="5.3.008" expanded="true" height="94" name="Select by Weights" width="90" x="782" y="165">
<parameter key="weight_relation" value="greater"/>
<parameter key="weight" value="0.0"/>
</operator>
<operator activated="true" class="wrapper_x_validation" compatibility="5.3.008" expanded="true" height="76" name="BackwardXVal" width="90" x="916" y="165">
<parameter key="leave_one_out" value="true"/>
<parameter key="parallelize_attribute_weighting" value="true"/>
<parameter key="parallelize_model_building" value="true"/>
<parameter key="parallelize_model_evaluation" value="true"/>
<process expanded="true">
<operator activated="true" class="optimize_selection_backward" compatibility="5.3.008" expanded="true" height="94" name="Backward Elimination" width="90" x="45" y="30">
<parameter key="maximal_number_of_eliminations" value="36"/>
<parameter key="speculative_rounds" value="10"/>
<parameter key="parallelize_learning_process" value="true"/>
<process expanded="true">
<operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="130" name="FSValidation (2)" width="90" x="45" y="30">
<parameter key="leave_one_out" value="true"/>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="60" name="SVM (3)" width="90" x="271" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="training" to_op="SVM (3)" to_port="training set"/>
<connect from_op="SVM (3)" 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"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="60" name="Apply Model (3)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="60" name="Performance (4)" width="90" x="180" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<operator activated="true" class="performance_min_max" compatibility="5.3.008" expanded="true" height="60" name="Performance (5)" width="90" x="466" y="30">
<parameter key="minimum_weight" value="0.5"/>
</operator>
<connect from_port="model" to_op="Apply Model (3)" to_port="model"/>
<connect from_port="test set" to_op="Apply Model (3)" to_port="unlabelled data"/>
<connect from_port="through 1" to_port="averagable 2"/>
<connect from_op="Apply Model (3)" from_port="labelled data" to_op="Performance (4)" to_port="labelled data"/>
<connect from_op="Performance (4)" from_port="performance" to_op="Performance (5)" to_port="performance vector"/>
<connect from_op="Performance (5)" from_port="performance vector" 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="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
<portSpacing port="sink_averagable 3" spacing="0"/>
</process>
</operator>
<connect from_port="example set" to_op="FSValidation (2)" to_port="training"/>
<connect from_op="FSValidation (2)" from_port="averagable 1" to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_port="weighting set source" to_op="Backward Elimination" to_port="example set"/>
<connect from_op="Backward Elimination" from_port="attribute weights" to_port="attribute weights sink"/>
<portSpacing port="source_weighting set source" spacing="0"/>
<portSpacing port="sink_attribute weights sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.008" expanded="true" height="76" name="SVM (4)" width="90" x="102" y="30">
<parameter key="balance_cost" value="true"/>
</operator>
<connect from_port="train set source" to_op="SVM (4)" to_port="training set"/>
<connect from_op="SVM (4)" from_port="model" to_port="model sink"/>
<portSpacing port="source_train set source" spacing="0"/>
<portSpacing port="sink_model sink" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model (4)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance (6)" width="90" x="176" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="correlation" value="true"/>
<list key="class_weights"/>
</operator>
<connect from_port="test set source" to_op="Apply Model (4)" to_port="unlabelled data"/>
<connect from_port="model source" to_op="Apply Model (4)" to_port="model"/>
<connect from_op="Apply Model (4)" from_port="labelled data" to_op="Performance (6)" to_port="labelled data"/>
<connect from_op="Performance (6)" from_port="performance" to_port="performance vector sink"/>
<portSpacing port="source_test set source" spacing="0"/>
<portSpacing port="source_model source" spacing="0"/>
<portSpacing port="sink_performance vector sink" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve BELBIN transposed data all 82 HN cancer cases" from_port="output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="ForwardXVal" to_port="example set in"/>
<connect from_op="Set Role" from_port="original" to_op="Select by Weights" to_port="example set input"/>
<connect from_op="ForwardXVal" from_port="performance vector out" to_port="result 1"/>
<connect from_op="ForwardXVal" from_port="attribute weights out" to_op="Select by Weights" to_port="weights"/>
<connect from_op="Select by Weights" from_port="example set output" to_op="BackwardXVal" to_port="example set in"/>
<connect from_op="BackwardXVal" from_port="performance vector out" to_port="result 2"/>
<connect from_op="BackwardXVal" from_port="attribute weights out" to_port="result 3"/>
<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"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>
Cheers,
Roberto
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unfortunately the Wrapper-X-Validation is not yet parallelized. You can, however, integrate the Feature Selection into a normal X-Validation (parallel) as depicted in the process below.
Best regards,
Marius