A program to recognize and reward our most engaged community members
<?xml version="1.0" encoding="UTF-8"?><process version="9.2.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.2.001" 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="9.2.001" expanded="true" height="68" name="Retrieve Titanic Training" width="90" x="112" y="34"> <parameter key="repository_entry" value="//Samples/data/Titanic Training"/> </operator> <operator activated="true" class="multiply" compatibility="9.2.001" expanded="true" height="145" name="Multiply" width="90" x="313" y="34"/> <operator activated="true" class="nominal_to_numerical" compatibility="9.2.001" expanded="true" height="103" name="Nominal to Numerical" width="90" x="514" y="493"> <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="nominal"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="file_path"/> <parameter key="block_type" value="single_value"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="single_value"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="false"/> <parameter key="coding_type" value="dummy coding"/> <parameter key="use_comparison_groups" value="false"/> <list key="comparison_groups"/> <parameter key="unexpected_value_handling" value="all 0 and warning"/> <parameter key="use_underscore_in_name" value="false"/> </operator> <operator activated="true" class="anomalydetection:Robust Principal Component Analysis Anomaly Score (rPCA)" compatibility="2.4.001" expanded="true" height="68" name="Robust Principal Component Analysis Anomaly Score (rPCA)" width="90" x="648" y="493"> <parameter key="probability_for_normal_class" value="0.975"/> <parameter key="component_usage" value="use all components"/> <parameter key="major_components" value="use variance threshold"/> <parameter key="cumulative_variance" value="0.5"/> <parameter key="number_of_major_pcs" value="1"/> <parameter key="minor_components" value="use max eigenvalue"/> <parameter key="eigenvalue_threshold_max" value="0.2"/> <parameter key="number_of_minor_pcs" value="1"/> </operator> <operator activated="true" class="anomalydetection:One-Class LIBSVM Anomaly Score" compatibility="2.4.001" expanded="true" height="82" name="One-Class LIBSVM Anomaly Score" width="90" x="648" y="340"> <parameter key="svm_type" value="one-class"/> <parameter key="svm_kernel_type" value="rbf"/> <parameter key="degree" value="3"/> <parameter key="automatic gamma tuning" value="true"/> <parameter key="gamma" value="0.0"/> <parameter key="coef0" value="0.0"/> <parameter key="nu" value="0.5"/> <parameter key="beta" value="0.5"/> <parameter key="lambda" value="0.001"/> <parameter key="epsilon" value="0.001"/> <parameter key="cache_size" value="80"/> <parameter key="shrinking" value="true"/> </operator> <operator activated="true" class="anomalydetection:k-NN Global Anomaly Score" compatibility="2.4.001" expanded="true" height="103" name="k-NN Global Anomaly Score" width="90" x="648" y="34"> <parameter key="k" value="10"/> <parameter key="use k-th neighbor distance only (no average)" value="false"/> <parameter key="measure_types" value="MixedMeasures"/> <parameter key="mixed_measure" value="MixedEuclideanDistance"/> <parameter key="nominal_measure" value="NominalDistance"/> <parameter key="numerical_measure" value="EuclideanDistance"/> <parameter key="divergence" value="GeneralizedIDivergence"/> <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="parallelize evaluation process" value="false"/> <parameter key="number of threads" value="4"/> </operator> <operator activated="true" class="detect_outlier_lof" compatibility="9.2.001" expanded="true" height="82" name="Detect Outlier (LOF)" width="90" x="648" y="187"> <parameter key="minimal_points_lower_bound" value="10"/> <parameter key="minimal_points_upper_bound" value="20"/> <parameter key="distance_function" value="euclidian distance"/> </operator> <connect from_op="Retrieve Titanic Training" from_port="output" to_op="Multiply" to_port="input"/> <connect from_op="Multiply" from_port="output 1" to_op="k-NN Global Anomaly Score" to_port="example set"/> <connect from_op="Multiply" from_port="output 2" to_op="Detect Outlier (LOF)" to_port="example set input"/> <connect from_op="Multiply" from_port="output 3" to_op="One-Class LIBSVM Anomaly Score" to_port="example set"/> <connect from_op="Multiply" from_port="output 4" to_op="Nominal to Numerical" to_port="example set input"/> <connect from_op="Nominal to Numerical" from_port="example set output" to_op="Robust Principal Component Analysis Anomaly Score (rPCA)" to_port="example set input"/> <connect from_op="Robust Principal Component Analysis Anomaly Score (rPCA)" from_port="example set output" to_port="result 4"/> <connect from_op="One-Class LIBSVM Anomaly Score" from_port="example set" to_port="result 3"/> <connect from_op="k-NN Global Anomaly Score" from_port="example set" to_port="result 1"/> <connect from_op="Detect Outlier (LOF)" from_port="example set output" 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"/> <portSpacing port="sink_result 4" spacing="0"/> <portSpacing port="sink_result 5" spacing="0"/> </process> </operator> </process>