This node takes columns with integer data and maps every number to the former category string. The information for the value mapping is taken from the PMML model.
This node is typically used to apply the same mapping found by a Category To Number node.
Options
Popular Predecessors
Excel Reader (XLS)8 %- Category to Number7 %
Number To String (PMML)4 %String To Number4 %Number To String4 %- CSV Reader3 %
- Column Filter3 %
PMML Reader3 %- Math Formula2 %
Excel Reader (XLS)2 %- Number to String2 %
- Missing Value1 %
- GroupBy1 %
- String to Number1 %
Cell Replacer1 %- Column Auto Type Cast1 %
- Row Filter1 %
- Empty PMML Creator1 %
- Category to Number (Apply)1 %
- k-Means< 1 %
- Denormalizer< 1 %
- Value Counter< 1 %
- Scorer< 1 %
- Excel Reader< 1 %
- Data Explorer< 1 %
- String Replacer< 1 %
- Double to Integer< 1 %
- Pivot< 1 %
- Rule-based Row Filter< 1 %
- Extract Table Spec< 1 %
Column Rename< 1 %- Color Manager< 1 %
- Number to String (PMML)< 1 %
- DB Reader< 1 %
File Reader< 1 %- Regression Predictor< 1 %
- Concatenate< 1 %
- String Manipulation< 1 %
- Rule Engine< 1 %
- Statistics< 1 %
- Scatter Plot (JavaScript)< 1 %
- File Reader (Complex Format)< 1 %
Table Reader< 1 %- DBSCAN< 1 %
K Nearest Neighbor< 1 %- Number to Category (Apply)< 1 %
- Normalizer< 1 %
- Partitioning< 1 %
String To Number (PMML)< 1 %- Ruleset Editor< 1 %
- Table Transposer< 1 %
- Number Formatter< 1 %
- File Reader< 1 %
- H2O to Table< 1 %
- Decision Tree Learner< 1 %
- Decision Tree Predictor< 1 %
Scorer< 1 %- One to Many< 1 %
Excel Reader (XLS)< 1 %- String to Date&Time< 1 %
Model Reader< 1 %- Cell Splitter< 1 %
- Cache< 1 %
- Math Formula (Multi Column)< 1 %
- Document Vector< 1 %
- PMML Reader< 1 %
- X-Aggregator< 1 %
- Numeric Binner< 1 %
- Edit Numeric Domain< 1 %
Joiner< 1 %XLS Reader< 1 %- Date&Time Difference< 1 %
- Random Forest Predictor< 1 %
- Create Bit Vector< 1 %
- Lag Column< 1 %
- Missing Value (Apply)< 1 %
- Denormalizer (PMML)< 1 %
- Round Double< 1 %
- Rule-based Row Splitter< 1 %
- Joiner< 1 %
- Table Manipulator< 1 %
- Table Creator< 1 %
- Linear Correlation< 1 %
PMML Reader< 1 %- Row Splitter< 1 %
- Parameter Optimization Loop End< 1 %
- Logistic Regression Predictor< 1 %
Column Appender< 1 %- Column Resorter< 1 %
- Conditional Box Plot (legacy)< 1 %
- String Manipulation (Multi Column)< 1 %
- Date&Time to String< 1 %
Regression Predictor< 1 %String Replace (Dictionary)< 1 %- k-Medoids< 1 %
- Cell to PMML< 1 %
- Fuzzy Rule Predictor< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Auto-Binner< 1 %
- Constant Value Column< 1 %
- Domain Calculator< 1 %
- String to Number (PMML)< 1 %
- PMML to Cell< 1 %
- Column Appender< 1 %
- Table View (JavaScript)< 1 %
- R Snippet< 1 %
CSV Reader< 1 %Database Connection Table Reader< 1 %- Java Snippet< 1 %
Loop End< 1 %- X-Partitioner< 1 %
- Cluster Assigner< 1 %
- Hierarchical Clustering< 1 %
- Correlation Filter< 1 %
- Sorter< 1 %
- Target Shuffling< 1 %
- Number Filter< 1 %
- Strings to Document< 1 %
Variable to Table Row< 1 %- ARFF Reader< 1 %
PCA Inversion< 1 %- Logistic Regression Learner< 1 %
- SVM Predictor< 1 %
- PMML Model Appender< 1 %
- Column Aggregator< 1 %
- Edit Nominal Domain< 1 %
Double To Int< 1 %- Nominal Value Row Splitter< 1 %
- Column Filter (PMML)< 1 %
- One to Many (PMML)< 1 %
- Row Sampling< 1 %
- Decision Tree to Ruleset< 1 %
- Box Plot (legacy)< 1 %
- Spark to Table< 1 %
- Discretise< 1 %
- PCA Inversion< 1 %
- Column Merger< 1 %
- Keras Network Executor< 1 %
- Fuzzy c-Means< 1 %
- Linear Regression Learner< 1 %
- Binner (Dictionary)< 1 %
Cell Splitter< 1 %- Missing Value Column Filter< 1 %
- Reference Row Filter< 1 %
- Low Variance Filter< 1 %
- Numeric Binner (PMML)< 1 %
- Normalizer Apply (PMML)< 1 %
- Column Splitter< 1 %
- SDF Reader< 1 %
- Java Snippet (simple)< 1 %
Strings To Document< 1 %Extract Date&Time Fields< 1 %- Time to String (legacy)< 1 %
- Strings to Binary Objects< 1 %
Table Column to Variable< 1 %- Feature Selection Loop Start (1:1)< 1 %
Loop End (2 ports)< 1 %- Chunk Loop Start< 1 %
- Naive Bayes Predictor< 1 %
- PNN Predictor< 1 %
- K Nearest Neighbor< 1 %
- MultiLayerPerceptron Predictor< 1 %
- RProp MLP Learner< 1 %
Numeric Scorer< 1 %- Numeric Scorer< 1 %
- SMOTE< 1 %
Random Forest Learner< 1 %Random Forest Predictor (Regression)< 1 %- Gradient Boosted Trees Predictor< 1 %
- Random Forest Predictor (Regression)< 1 %
- PMML Transformation Appender< 1 %
Concatenate (Optional in)< 1 %- Case Converter< 1 %
- Column Renamer (Dictionary)< 1 %
- Nominal Value Row Filter< 1 %
- Many to One (PMML)< 1 %
- Normalizer (PMML)< 1 %
- Rank< 1 %
- RowID< 1 %
- Numeric Row Splitter< 1 %
- Ungroup< 1 %
- Unpivot< 1 %
- Numeric Outliers< 1 %
- Linear Discriminant Analysis Apply< 1 %
CASE Switch Data (Start)< 1 %- Data Generator< 1 %
- DB Query Reader< 1 %
- Gaussian Distributed Assigner< 1 %
- PMML Predictor< 1 %
- Category to Class< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Column Filter (legacy)< 1 %
- UNIX Timestamp to Date&Time< 1 %
- Date Field Extractor (legacy)< 1 %
Variable to Table Row< 1 %- Variable to Table Row< 1 %
Database Looping< 1 %- Association Rule Learner< 1 %
- Column Combiner< 1 %
- Column Rename (Regex)< 1 %
- Crosstab< 1 %
- Column Expressions< 1 %
- H2O Random Forest Learner (Regression)< 1 %
- Case Converter< 1 %
- Python Script (legacy)< 1 %
- RDKit To Molecule< 1 %
Views
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Workflows
311022_311036KNIME Hub- 311022-311036KNIME Hub
- Bank_Personal_Loan_Modelling-2(categorical)KNIME Hub
- Building Sentiment Predictor - Deep LearningKNIME Hub
- Cardiovascular Disease Prediction using 'autofeat' Generated FeaturesKNIME Hub
- Show all 16 workflows
Links
- No links available
Developers
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