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Hi everyone, i'm having trouble to transform the predicted data to its original value after normalisation. Is there any method of doing so?thank you very much.
Hi,
sure. You can use a De-Normalize Operator to convert the preprocessing normalization model into a de-normalization model. This can be applied using Apply Model.
Have a nice Sunday,
Martin
Hi @mschmitz, thank you very much for the reply. i have tried the method you suggessted, but the conversion seems like only applicable to the original dataset not for the predicted value. i have included the code here, i'm not sure if i have made some mistakes here. thank you very much.
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="8.1.001" expanded="true" name="Process"> <process expanded="true"> <operator activated="true" class="generate_data" compatibility="8.1.001" expanded="true" height="68" name="Generate Data" width="90" x="45" y="85"/> <operator activated="true" class="split_data" compatibility="8.1.001" expanded="true" height="103" name="Split Data" width="90" x="112" y="187"> <enumeration key="partitions"> <parameter key="ratio" value="0.8"/> <parameter key="ratio" value="0.2"/> </enumeration> <parameter key="sampling_type" value="linear sampling"/> </operator> <operator activated="true" class="normalize" compatibility="8.1.001" expanded="true" height="103" name="Normalize" width="90" x="179" y="34"> <parameter key="include_special_attributes" value="true"/> </operator> <operator activated="true" class="support_vector_machine" compatibility="8.1.001" expanded="true" height="124" name="SVM" width="90" x="380" y="34"/> <operator activated="true" class="multiply" compatibility="8.1.001" expanded="true" height="103" name="Multiply" width="90" x="246" y="136"/> <operator activated="true" class="denormalize" compatibility="8.1.001" expanded="true" height="82" name="De-Normalize" width="90" x="581" y="187"/> <operator activated="true" class="apply_model" compatibility="8.1.001" expanded="true" height="82" name="Apply Model (3)" width="90" x="380" y="238"> <list key="application_parameters"/> </operator> <operator activated="true" class="apply_model" compatibility="8.1.001" expanded="true" height="82" name="Apply Model" width="90" x="581" y="85"> <list key="application_parameters"/> </operator> <operator activated="true" class="apply_model" compatibility="8.1.001" expanded="true" height="82" name="Apply Model (2)" width="90" x="782" y="136"> <list key="application_parameters"/> </operator> <connect from_op="Generate Data" from_port="output" to_op="Split Data" to_port="example set"/> <connect from_op="Split Data" from_port="partition 1" to_op="Normalize" to_port="example set input"/> <connect from_op="Split Data" from_port="partition 2" to_op="Apply Model (3)" to_port="unlabelled data"/> <connect from_op="Normalize" from_port="example set output" to_op="SVM" to_port="training set"/> <connect from_op="Normalize" from_port="preprocessing model" to_op="Multiply" to_port="input"/> <connect from_op="SVM" from_port="model" to_op="Apply Model" to_port="model"/> <connect from_op="Multiply" from_port="output 1" to_op="Apply Model (3)" to_port="model"/> <connect from_op="Multiply" from_port="output 2" to_op="De-Normalize" to_port="model input"/> <connect from_op="De-Normalize" from_port="model output" to_op="Apply Model (2)" to_port="model"/> <connect from_op="Apply Model (3)" from_port="labelled data" to_op="Apply Model" to_port="unlabelled data"/> <connect from_op="Apply Model" from_port="labelled data" to_op="Apply Model (2)" to_port="unlabelled data"/> <connect from_op="Apply Model (2)" from_port="labelled data" to_port="result 1"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> </process> </operator></process>
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