pharmine

Scale the training set

1. Add ArffExampleSource operator (IO->Examples) to Root.
• Configure it to load a training set from a file.
• Set the value of the label_attribute to the class column.
2. Add Normalization operator (Preprocessing) to Root.
• Configure it by checking the return_preprocessing_model checkbox
• Set the z_transform checkbox to unchecked.
3. Add ModelWriter operator (IO->Models) to Root and configure it to save the model to a file.
4. Run.

Scale the testing set

1. Add ArffExampleSource operator (IO->Examples) to Root.
• Configure it to load a testing set from a file.
• Set the value of the label_attribute to the class column.
2. Add ModelLoader operator (IO->Models) to Root and configure it to load the model that is saved during the scaling of the training set.
3. Add ModelApplier operator to Root.
4. Run.

RapidMiner score full marks for its ease in scaling descriptors.

This entry was posted by Yap Chun Wei on Monday, March 31st, 2008 at 9:39 pm and is filed under Data mining, Review. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.