An exclusive raffle opportunity for active members like you! Complete your profile, answer questions and get your first accepted badge to enter the raffle.
<?xml version="1.0" encoding="UTF-8"?><process version="9.3.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.3.001" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="SYSTEM"/> <process expanded="true"> <operator activated="true" class="retrieve" compatibility="9.3.001" expanded="true" height="68" name="Retrieve Iris (2)" width="90" x="45" y="34"> <parameter key="repository_entry" value="//Samples/data/Iris"/> </operator> <operator activated="true" class="concurrency:cross_validation" compatibility="9.3.001" expanded="true" height="145" name="Cross Validation" width="90" x="313" y="34"> <parameter key="split_on_batch_attribute" value="false"/> <parameter key="leave_one_out" value="false"/> <parameter key="number_of_folds" value="10"/> <parameter key="sampling_type" value="automatic"/> <parameter key="use_local_random_seed" value="false"/> <parameter key="local_random_seed" value="1992"/> <parameter key="enable_parallel_execution" value="true"/> <process expanded="true"> <operator activated="true" class="normalize" compatibility="9.3.001" expanded="true" height="103" name="Normalize" width="90" x="45" y="34"> <parameter key="return_preprocessing_model" value="false"/> <parameter key="create_view" value="false"/> <parameter key="attribute_filter_type" value="all"/> <parameter key="attribute" value=""/> <parameter key="attributes" value=""/> <parameter key="use_except_expression" value="false"/> <parameter key="value_type" value="numeric"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="real"/> <parameter key="block_type" value="value_series"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="value_series_end"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="false"/> <parameter key="method" value="Z-transformation"/> <parameter key="min" value="0.0"/> <parameter key="max" value="1.0"/> <parameter key="allow_negative_values" value="false"/> </operator> <operator activated="true" class="concurrency:k_means" compatibility="9.3.001" expanded="true" height="82" name="Clustering" width="90" x="313" y="34"> <parameter key="add_cluster_attribute" value="true"/> <parameter key="add_as_label" value="false"/> <parameter key="remove_unlabeled" value="false"/> <parameter key="k" value="5"/> <parameter key="max_runs" value="10"/> <parameter key="determine_good_start_values" value="true"/> <parameter key="measure_types" value="BregmanDivergences"/> <parameter key="mixed_measure" value="MixedEuclideanDistance"/> <parameter key="nominal_measure" value="NominalDistance"/> <parameter key="numerical_measure" value="EuclideanDistance"/> <parameter key="divergence" value="SquaredEuclideanDistance"/> <parameter key="kernel_type" value="radial"/> <parameter key="kernel_gamma" value="1.0"/> <parameter key="kernel_sigma1" value="1.0"/> <parameter key="kernel_sigma2" value="0.0"/> <parameter key="kernel_sigma3" value="2.0"/> <parameter key="kernel_degree" value="3.0"/> <parameter key="kernel_shift" value="1.0"/> <parameter key="kernel_a" value="1.0"/> <parameter key="kernel_b" value="0.0"/> <parameter key="max_optimization_steps" value="100"/> <parameter key="use_local_random_seed" value="false"/> <parameter key="local_random_seed" value="1992"/> </operator> <operator activated="true" class="group_models" compatibility="9.3.001" expanded="true" height="103" name="Group Models" width="90" x="380" y="187"/> <connect from_port="training set" to_op="Normalize" to_port="example set input"/> <connect from_op="Normalize" from_port="example set output" to_op="Clustering" to_port="example set"/> <connect from_op="Normalize" from_port="preprocessing model" to_op="Group Models" to_port="models in 1"/> <connect from_op="Clustering" from_port="cluster model" to_op="Group Models" to_port="models in 2"/> <connect from_op="Group Models" from_port="model out" to_port="model"/> <portSpacing port="source_training set" spacing="0"/> <portSpacing port="sink_model" spacing="0"/> <portSpacing port="sink_through 1" spacing="0"/> </process> <process expanded="true"> <operator activated="true" class="apply_model" compatibility="9.3.001" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34"> <list key="application_parameters"/> <parameter key="create_view" value="false"/> </operator> <operator activated="true" class="ungroup_models" compatibility="9.3.001" expanded="true" height="68" name="Ungroup Models" width="90" x="179" y="85"/> <operator activated="true" class="select" compatibility="9.3.001" expanded="true" height="68" name="Select" width="90" x="313" y="85"> <parameter key="index" value="2"/> <parameter key="unfold" value="false"/> </operator> <operator activated="true" class="cluster_distance_performance" compatibility="9.3.001" expanded="true" height="103" name="Performance" width="90" x="447" y="34"> <parameter key="main_criterion" value="Avg. within centroid distance"/> <parameter key="main_criterion_only" value="false"/> <parameter key="normalize" value="false"/> <parameter key="maximize" value="false"/> </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_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="example set"/> <connect from_op="Apply Model" from_port="model" to_op="Ungroup Models" to_port="grouped model"/> <connect from_op="Ungroup Models" from_port="models" to_op="Select" to_port="collection"/> <connect from_op="Select" from_port="selected" to_op="Performance" to_port="cluster model"/> <connect from_op="Performance" from_port="performance" to_port="performance 1"/> <connect from_op="Performance" from_port="example set" to_port="test set results"/> <portSpacing port="source_model" spacing="0"/> <portSpacing port="source_test set" spacing="0"/> <portSpacing port="source_through 1" spacing="0"/> <portSpacing port="sink_test set results" spacing="0"/> <portSpacing port="sink_performance 1" spacing="0"/> <portSpacing port="sink_performance 2" spacing="0"/> </process> </operator> <connect from_op="Retrieve Iris (2)" from_port="output" to_op="Cross Validation" to_port="example set"/> <connect from_op="Cross Validation" from_port="model" to_port="result 1"/> <connect from_op="Cross Validation" from_port="performance 1" to_port="result 2"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="21"/> <portSpacing port="sink_result 2" spacing="0"/> <portSpacing port="sink_result 3" spacing="252"/> </process> </operator> </process>