This loop closes a parameter optimization loop. It collects the objective
function value from a flow variable
and transfer the information back to
the corresponding loop start node. You can decide whether the objective
function should be minimized or maximized.
For details on parameter optimization loops please have a look at the
documentation of the parameter
optimization loop start node.
Options
Popular Successors
- Table Row to Variable7 %
Excel Writer (XLS)5 %Excel Sheet Appender (XLS)4 %- Entropy Scorer3 %
- Rule Engine2 %
- Scorer2 %
Variable Loop End1 %- Color Manager1 %
- Variable to Table Column1 %
- Sorter1 %
- 3D Scatter Plot (Plotly)1 %
Number To String1 %- Pivot1 %
Merge Variables1 %- ROC Curve (legacy)1 %
Excel Sheet Appender (XLS)1 %- 2D/3D Scatterplot< 1 %
Variable to Table Column< 1 %- CSV Writer< 1 %
- Nominal Value Row Filter< 1 %
Column Appender< 1 %- Line Plot (legacy)< 1 %
- Line Plot (Plotly)< 1 %
XLS Writer< 1 %- Table Column to Variable< 1 %
- Loop End< 1 %
- SVM Learner< 1 %
- Constant Value Column< 1 %
- Scatter Plot (legacy)< 1 %
- Cell to Model< 1 %
- Excel Writer< 1 %
Table Row to Variable< 1 %Variable to Table Row< 1 %- Table to Image< 1 %
- Denormalizer< 1 %
- Scatter Plot (JavaScript)< 1 %
- R View (Table)< 1 %
Loop End< 1 %- Naive Bayes Learner< 1 %
- RProp MLP Learner< 1 %
Scorer< 1 %- GroupBy< 1 %
- Partitioning< 1 %
- Column Splitter< 1 %
- Table Transposer< 1 %
- Timer Info< 1 %
- Line Plot< 1 %
- Line Chart (JFreeChart)< 1 %
- Extract Variables (Data)< 1 %
Table Row to Variable< 1 %Table Writer< 1 %- Feature Selection Loop End< 1 %
- Feature Selection Loop Start (1:1)< 1 %
Loop End (2 ports)< 1 %- X-Aggregator< 1 %
- k-Means< 1 %
- K Nearest Neighbor< 1 %
- MultiLayerPerceptron Predictor< 1 %
Column Rename< 1 %- End IF< 1 %
- IF Switch< 1 %
- Scatter Matrix (legacy)< 1 %
- Interactive Table (legacy)< 1 %
- Voting Loop End< 1 %
- Math Formula< 1 %
- Scatter Plot (JFreeChart)< 1 %
- Line Plot (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Parameter Optimization Loop End< 1 %
- Table Writer< 1 %
- Java Snippet< 1 %
- Variable Loop End< 1 %
- X-Partitioner< 1 %
- Decision Tree Learner< 1 %
- Decision Tree Predictor< 1 %
- Numeric Scorer< 1 %
- PCA Inversion< 1 %
- Random Forest Learner< 1 %
- Random Forest Learner (Regression)< 1 %
- Simple Regression Tree Learner< 1 %
- Concatenate< 1 %
Concatenate (Optional in)< 1 %- Column Appender< 1 %
- Linear Correlation< 1 %
- Cross Joiner< 1 %
- Column Filter< 1 %
Row Filter (deprecated)< 1 %Joiner< 1 %- Joiner< 1 %
- Missing Value (Apply)< 1 %
- Nominal Probability Distribution Splitter< 1 %
- Number Rounder< 1 %
- RowID< 1 %
- Data Explorer< 1 %
- Statistics< 1 %
- Unpersist Spark DataFrame/RDD< 1 %
- Parallel Coordinates Plot (JavaScript)< 1 %
- Scatter Plot (Plotly)< 1 %
- Surface Plot (Plotly)< 1 %
- Math Formula (Multi Column)< 1 %
- Scorer (JavaScript)< 1 %
- Table View (JavaScript)< 1 %
- Parameter Optimization Loop Start< 1 %
- Parameter Optimization Loop Start (Table)< 1 %
- R Snippet< 1 %
Table Column to Variable< 1 %PCA Compute< 1 %- Number to Category (Apply)< 1 %
- String Manipulation< 1 %
- Single sample t-test< 1 %
- Violin Plot (Plotly)< 1 %
- Binary Classification Inspector< 1 %
Table Column to Variable< 1 %- Feature Selection Filter< 1 %
K Nearest Neighbor< 1 %- Linear Regression Learner< 1 %
- Column Rename (Regex)< 1 %
- Interactive Histogram (legacy)< 1 %
- Column Expressions< 1 %
Table to PDF< 1 %H2O Random Forest Learner< 1 %- Table Row To Variable Run-for-time Loop Start< 1 %
- ARIMA Learner< 1 %
Model Writer< 1 %- DBSCAN< 1 %
- Decision Tree to Image< 1 %
- Numeric Binner< 1 %
- Number to String< 1 %
- Lag Column< 1 %
- Column to Grid< 1 %
- Domain Calculator< 1 %
- Normalizer (PMML)< 1 %
- Top k Row Filter< 1 %
- Numeric Median Test< 1 %
CASE Switch Variable (Start)< 1 %- DB Query Reader< 1 %
- Keras Network Executor< 1 %
- Box Plot (JavaScript)< 1 %
- Boosting Learner Loop End< 1 %
- Math Formula (Variable)< 1 %
- Histogram Chart (JFreeChart)< 1 %
- Decision Tree View (JavaScript)< 1 %
- Network Viewer< 1 %
- Multiobjective Score Computation< 1 %
- Score Erosion< 1 %
Python Script (2⇒2)< 1 %- R Predictor< 1 %
Loop End (3 ports)< 1 %- Read Variables< 1 %
Element Selector< 1 %- Catch Errors (Var Ports)< 1 %
Variable to Table Column< 1 %- Inject Variables (Data)< 1 %
Table Column to Variable< 1 %Table Row To Variable Loop Start< 1 %- Variable to Table Row< 1 %
CSV Writer< 1 %Parameterized Database Query< 1 %- Loop End (Column Append)< 1 %
Counting Loop Start< 1 %- Column List Loop Start< 1 %
- Group Loop Start< 1 %
Recursive Loop End< 1 %- Table Row to Variable Loop Start< 1 %
- Logistic Regression Learner< 1 %
Numeric Scorer< 1 %- SMOTE< 1 %
- PCA< 1 %
Random Forest Learner< 1 %- Gradient Boosted Trees Learner< 1 %
- Tree Ensemble Learner< 1 %
- Tree Ensemble Learner (Regression)< 1 %
Random Forest Learner< 1 %- Random Forest Predictor< 1 %
- String to Number< 1 %
- Column Name Extractor< 1 %
Linear Correlation< 1 %- Double to Integer< 1 %
- Equal Size Sampling< 1 %
- Reference Column Splitter< 1 %
- Reference Row Splitter< 1 %
- Normalizer< 1 %
- String Manipulation (Variable)< 1 %
- Value Counter< 1 %
- Rule Engine Variable< 1 %
- Send Email< 1 %
- Histogram (legacy)< 1 %
- Pie chart (legacy)< 1 %
- Parallel Coordinates (legacy)< 1 %
- Parallel Chunk Start< 1 %
- DB Writer< 1 %
- Histogram (JavaScript)< 1 %
- Boosting Predictor Loop Start< 1 %
- HeatMap (JFreeChart)< 1 %
- LIBSVMLearner< 1 %
Excel Reader (XLS)< 1 %Excel Writer (XLS)< 1 %- Value Filter (legacy)< 1 %
- Heatmap (JavaScript)< 1 %
- Lift Chart (JavaScript)< 1 %
- Table Editor (JavaScript)< 1 %
- Container Output (Table)< 1 %
Python Script (2⇒2)< 1 %Python Script (1⇒1)< 1 %- Python Script (legacy)< 1 %
XGBoost Linear Ensemble Learner (Regression)< 1 %XGBoost Tree Ensemble Learner (Regression)< 1 %
Views
- This node has no views
Workflows
!Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub- 0_install_AI_extensionsKNIME Hub
- 00_SetupKNIME Hub
- 01 Advanced Machine Learning - ExerciseKNIME Hub
- 01 Advanced Machine Learning - solutionKNIME Hub
- Show all 679 workflows
Links
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.