{"title":"Normalizer (Apply)","nodeType":"Manipulator","id":"*3KRhzbnT8pKx6c6H","factoryName":"org.knime.base.node.preproc.normalize.NormalizerApplyNodeFactory","factoryId":"org.knime.base.node.preproc.normalize.NormalizerApplyNodeFactory","path":["Manipulation","Column","Transform"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node normalizes the input data according to the normalization parameters as given in the model input (typically coming from the Normalizer node). It will apply an affine transformation to all columns in the input data that are contained in the model input.</p>\n                    \t\n            <p>This node is typically used when test data shall be normalized the same way the training data has been normalized (using the &#34;Normalizer&#34; node).</p>\n            \t\t\n        \n        ","shortDescription":"Normalizes 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":"Table to normalize","description":"Table requiring normalization of some or all columns."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Normalized output","description":"The input data normalized according to the normalization parameters."}],"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":"*bEpED7jfbp16dueW","factoryName":"org.knime.ext.weka37.predictor3.WekaPredictorNodeFactory","probability":0.14417744916820702},{"id":"*aoLtzFmsAKOw1SBL","factoryName":"org.knime.base.node.mine.neural.mlp2.MLPPredictorNodeFactory","probability":0.13863216266173753},{"id":"*VP_-uQFaYzeVUg22","factoryName":"org.knime.base.node.mine.pca.PCAApplyNodeFactory","probability":0.038817005545286505},{"id":"*30SAAtdD-kG2KhAI","factoryName":"org.knime.base.node.mine.regression.logistic.predictor.LogisticRegressionPredictorNodeFactory","probability":0.033271719038817},{"id":"*wa3Cexa-0Df6kyDj","factoryName":"org.knime.base.node.mine.knn.KnnNodeFactory","probability":0.033271719038817},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.025878003696857672},{"id":"*T0AhxSe0Yi42rQK8","factoryName":"org.knime.base.node.preproc.partition.PartitionNodeFactory","probability":0.024029574861367836},{"id":"*9kg2rX7d5j2FrgtM","factoryName":"org.knime.base.node.mine.cluster.assign.ClusterAssignerNodeFactory","probability":0.022181146025878003},{"id":"*z4QawMJlTQW3cArl","factoryName":"org.knime.base.node.mine.svm.predictor2.SVMPredictorNodeFactory","probability":0.022181146025878003},{"id":"*LyRcLydCVnHBRIb0","factoryName":"org.knime.base.node.mine.regression.predict3.RegressionPredictorNodeFactory2","probability":0.018484288354898338}]}