{"title":"Denormalizer","nodeType":"Manipulator","id":"*XSCKH1I1S2QiA5_-","factoryName":"org.knime.base.node.preproc.normalize.NormalizerDeNodeFactory","factoryId":"org.knime.base.node.preproc.normalize.NormalizerDeNodeFactory","path":["Manipulation","Column","Transform"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node denormalizes the input data according to the normalization parameters as given in the PMML model input (typically coming from the Normalizer node). The affine transformation is therefore inverted and the original values recreated.</p>\n                    \t\n            <p>This node is typically used after test data is normalized and possible other learning/predictions be transformed back to the original range.</p>\n            \t\t\n        \n        ","shortDescription":"Denormalizes the attributes of a table according to a model.","keywords":[],"deprecated":false,"streamable":true,"tags":["Manipulation","Column","Transform","Streamable"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.base.data.normalize.NormalizerPortObject","color":"1eb9dc","dataType":"Normalizer","optional":false,"name":"Model","description":"Normalization parameters"},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Normalized data","description":"Table requiring denormalization of some or all columns."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Denormalized output","description":"The input data scaled back to the original range."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202606261225","bundleName":"KNIME Base Nodes","bundleSymbolicName":"org.knime.base","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.base","featureName":"KNIME Base nodes","featureVersion":"5.12.0.v202606261225","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*bjR3r1yWOznPIEXS"},"frequentSuccessors":[{"id":"*OQlWyEt6N59f0jmF","factoryName":"org.knime.base.node.viz.property.color.ColorManager2NodeFactory","probability":0.07441016333938294},{"id":"*ZgYyOm1P9VJVBE9e","factoryName":"org.knime.base.node.preproc.joiner.Joiner2NodeFactory","probability":0.05263157894736842},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.050816696914700546},{"id":"*5stmXk6zY_ORA4bC","factoryName":"org.knime.base.node.preproc.groupby.GroupByNodeFactory","probability":0.045372050816696916},{"id":"*JiJhJpgkWWuOfG2s","factoryName":"org.knime.ext.poi2.node.write2.XLSWriter2NodeFactory","probability":0.036297640653357534},{"id":"*Oy714gpoifm4PiOZ","factoryName":"org.knime.base.node.io.csvwriter.CSVWriterNodeFactory","probability":0.032667876588021776},{"id":"*PHWv6FsABEjrSc76","factoryName":"org.knime.base.node.preproc.rename.RenameNodeFactory","probability":0.030852994555353903},{"id":"*QUqps_kWbfHPBgyu","factoryName":"org.knime.base.node.mine.scorer.numeric.NumericScorerNodeFactory","probability":0.029038112522686024},{"id":"*T0AhxSe0Yi42rQK8","factoryName":"org.knime.base.node.preproc.partition.PartitionNodeFactory","probability":0.02722323049001815},{"id":"*SMkaasH0Wn3tKqfo","factoryName":"org.knime.base.node.mine.scorer.accuracy.AccuracyScorerNodeFactory","probability":0.02722323049001815}]}