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.
This node is typically used after test data is normalized and possible other learning/predictions be transformed back to the original range.
Popular Predecessors
- k-Means10 %
- Normalizer (PMML)8 %
PMML Reader7 %- Denormalizer (PMML)3 %
- Partitioning3 %
- Color Manager3 %
- Numeric Scorer2 %
- Column Filter2 %
- Normalizer (Apply)2 %
- DBSCAN1 %
- Constant Value Column1 %
- Normalizer Apply (PMML)1 %
- X-Aggregator1 %
- Column Filter (PMML)1 %
- MultiLayerPerceptron Predictor1 %
Joiner1 %- k-Medoids1 %
- Hierarchical Cluster Assigner (local)1 %
- PMML Reader1 %
- Scatter Plot (JavaScript)1 %
- Cluster Assigner< 1 %
- Normalizer< 1 %
Column Rename< 1 %- Column Splitter< 1 %
- Number to String< 1 %
- Statistics< 1 %
- Silhouette Coefficient< 1 %
- Column Renamer< 1 %
Table Reader< 1 %- Fuzzy c-Means< 1 %
- Hierarchical Clustering< 1 %
- RProp MLP Learner< 1 %
- Regression Predictor< 1 %
- Denormalizer< 1 %
- One to Many (PMML)< 1 %
- Missing Value< 1 %
- Cell to PMML< 1 %
- PNN Predictor< 1 %
- Logistic Regression Predictor< 1 %
- Weka Predictor (3.7)< 1 %
- Scorer< 1 %
- Excel Reader< 1 %
- Joiner< 1 %
Model Reader< 1 %- Concatenate< 1 %
- GroupBy< 1 %
- Low Variance Filter< 1 %
PMML Predictor< 1 %PCA Inversion< 1 %- Gradient Boosted Trees Predictor< 1 %
- Double to Integer< 1 %
- Spark to Table< 1 %
Python Script (1⇒1)< 1 %File Reader< 1 %- Decision Tree Predictor< 1 %
Regression Predictor< 1 %Column Appender< 1 %Python Script (2⇒2)< 1 %- OPTICS Cluster Assigner< 1 %
- XML to PMML< 1 %
- Ruleset Predictor< 1 %
- Distance Matrix Calculate< 1 %
CSV Reader< 1 %- Linear Regression Learner< 1 %
Simple Regression Tree Predictor< 1 %- Column Rename (Regex)< 1 %
- Correlation Filter< 1 %
- Wait...< 1 %
- SVM Learner< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
Number To String< 1 %- String to Number< 1 %
- Cross Joiner< 1 %
- Rule Engine< 1 %
- Box Plot (legacy)< 1 %
- Spark Normalizer< 1 %
- Keras Network Executor< 1 %
Excel Reader (XLS)< 1 %- Weka Cluster Assigner (3.7)< 1 %
- R to PMML< 1 %
- File Reader< 1 %
PMML Reader< 1 %- Table Creator< 1 %
- Decision Tree Learner< 1 %
- Polynomial Regression Learner< 1 %
- SVM Predictor< 1 %
- Random Forest Predictor (Regression)< 1 %
Concatenate (Optional in)< 1 %- Number to Category (Apply)< 1 %
- Missing Value (Apply)< 1 %
- Sorter< 1 %
- Value Counter< 1 %
- Rule-based Row Filter< 1 %
- Empty Table Switch< 1 %
- Scatter Plot (legacy)< 1 %
- DL Python Network Executor< 1 %
- Math Formula< 1 %
Line Reader< 1 %- Naive Bayes Learner< 1 %
- Fuzzy Rule Predictor< 1 %
PCA< 1 %- Tree Ensemble Learner< 1 %
- Tree Ensemble Predictor< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
- Simple Regression Tree to PMML< 1 %
- Simple Regression Tree Predictor< 1 %
- PMML Model Appender< 1 %
- PMML Transformation Appender< 1 %
- Category to Number (Apply)< 1 %
- Category to Number< 1 %
- Column Aggregator< 1 %
- Equal Size Sampling< 1 %
- Missing Value Column Filter< 1 %
- Many to One (PMML)< 1 %
- Number to String (PMML)< 1 %
String To Number (PMML)< 1 %- String Manipulation< 1 %
- Table Transposer< 1 %
- Ruleset Editor< 1 %
- PMML Predictor< 1 %
- Java Snippet (simple)< 1 %
- JPMML Regression Predictor< 1 %
- Line Plot (JavaScript)< 1 %
- R to Table< 1 %
- XPath< 1 %
- RDKit Interactive Table< 1 %
- Normalize Plates (Z-Score)< 1 %
- Read Images< 1 %
- CSV Reader< 1 %
- Loop End< 1 %
- PCA Inversion< 1 %
- Random Forest Learner (Regression)< 1 %
- Random Forest Predictor< 1 %
- Reference Column Filter< 1 %
- Reference Column Splitter< 1 %
Number To String (PMML)< 1 %- Shape Manager< 1 %
- LIBSVMPredictor< 1 %
- List Files/Folders< 1 %
- Heatmap (JavaScript)< 1 %
- Python Predictor (legacy)< 1 %
Views
- This node has no views
Workflows
!Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub- 0_install_AI_extensionsKNIME Hub
- 01_AutoML_Component_via_Interactive_ViewsKNIME Hub
- 01_Basic_Customer_Segmentation_Use_CaseKNIME Hub
- 01_Basic_Customer_Segmentation_Use_CaseKNIME Hub
- Show all 251 workflows
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.