Clustering and Performance
fedayncarica
Member Posts: 30 
Contributor I
<?xml version="1.0" encoding="UTF-8"?><process version="7.3.001">
<context>
<input/>
<output/>
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<parameter key="logfile" value="C:\Users\Damiano\Downloads\log1Damiano.csv"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
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<operator activated="true" class="loop_files" compatibility="7.3.001" expanded="true" height="82" name="Loop Files" width="90" x="179" y="34">
<parameter key="directory" value="C:\Users\Damiano\Desktop\Loop Process"/>
<parameter key="filtered_string" value="file name (last part of the path)"/>
<parameter key="file_name_macro" value="file_name"/>
<parameter key="file_path_macro" value="file_path"/>
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<list key="annotations"/>
<parameter key="time_zone" value="SYSTEM"/>
<parameter key="locale" value="English (United States)"/>
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<list key="data_set_meta_data_information"/>
<parameter key="read_not_matching_values_as_missings" value="true"/>
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<parameter key="value_type" value="nominal"/>
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<parameter key="except_value_type" value="time"/>
<parameter key="block_type" value="attribute_block"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="value_matrix_row_start"/>
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<list key="parameters">
<parameter key="Clustering.k" value="[2.0;100.0;10;linear]"/>
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<parameter key="error_handling" value="fail on error"/>
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<parameter key="split_on_batch_attribute" value="false"/>
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<parameter key="number_of_folds" value="10"/>
<parameter key="sampling_type" value="automatic"/>
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<parameter key="local_random_seed" value="1992"/>
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<parameter key="remove_unlabeled" value="false"/>
<parameter key="k" value="2"/>
<parameter key="max_runs" value="10"/>
<parameter key="determine_good_start_values" value="false"/>
<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"/>
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<parameter key="max_optimization_steps" value="100"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
</operator>
<connect from_port="training set" to_op="Clustering" to_port="example set"/>
<connect from_op="Clustering" from_port="cluster model" to_port="model"/>
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<parameter key="csv_file" value="C:\Users\Damiano\Documents\risultati.csv"/>
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<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 (2)" to_port="labelled data"/>
<connect from_op="Performance (2)" from_port="performance" to_op="Performance to Data" to_port="performance vector"/>
<connect from_op="Performance to Data" from_port="example set" to_op="Write CSV" to_port="input"/>
<connect from_op="Performance to Data" from_port="performance vector" to_port="performance 1"/>
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<portSpacing port="sink_performance 2" spacing="0"/>
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<connect from_port="input 1" to_op="Set Role (4)" to_port="example set input"/>
<connect from_op="Set Role (4)" from_port="example set output" to_op="Cross Validation" to_port="example set"/>
<connect from_op="Cross Validation" from_port="example set" to_port="result 2"/>
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<parameter key="attribute_name" value="traceId"/>
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<connect from_port="file object" to_op="Read CSV" to_port="file"/>
<connect from_op="Read CSV" from_port="output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Generate ID" to_port="example set input"/>
<connect from_op="Generate ID" from_port="example set output" to_op="Loop Parameters" to_port="input 1"/>
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<connect from_op="Loop Files" from_port="out 1" to_port="result 1"/>
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</process>
Answers
Goodmorning everyone, I need your help.
I can not run this process with clustering and performance.
Attached please find the file to be included in the block "loop files"
Why are you using Loop Files when you only have 1 CSV file?
Was what I posted here: http://community.rapidminer.com/t5/RapidMiner-Studio/CROSS-VALIDATION/m-p/36389#M25306 not useful?
Hi Thomas, I have 2 CSV file, sorry. My professor told me to use "Loop File" and consider going to set before clustering and their performace and then the decision tree and its performance. These values if I understand it must be set in the "loop parameters".
Attached I send you the second CSV file.
I hope for your help!