Samples the data using bootstrapping. Bootstrapping is a sampling technique, which randomly draws rows from the input with replacement. The output table will therefore likely contain duplicate rows while other rows are not present in the output at all.
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Popular Predecessors
CSV Reader8 %Number To String3 %Excel Reader (XLS)3 %- Partitioning3 %
Scorer2 %Counting Loop Start2 %- Numeric Binner2 %
Interval Loop Start2 %Excel Reader (XLS)2 %- Java Snippet1 %
Row Filter (deprecated)1 %- String Replacer1 %
- Merge Variables1 %
Table Column to Variable1 %- Shuffle1 %
File Reader1 %Table Reader1 %- GroupBy1 %
- Rule Engine1 %
- Number to String1 %
- Number to String (PMML)1 %
- Table Row to Variable1 %
Table Row to Variable< 1 %- ARFF Reader< 1 %
Database Reader< 1 %- Table Creator< 1 %
- Group Loop Start< 1 %
- SMOTE< 1 %
- Bootstrap Sampling< 1 %
- Category to Number< 1 %
- Nominal Value Row Splitter< 1 %
- Normalizer< 1 %
- Row Sampling< 1 %
- Rule-based Row Splitter< 1 %
- CSV Reader< 1 %
- File Reader< 1 %
- Excel Reader< 1 %
- CASE Switch Start< 1 %
- Chunk Loop Start< 1 %
Generic Loop Start< 1 %- Constant Value Column< 1 %
- Equal Size Sampling< 1 %
- Column Filter< 1 %
- Missing Value Column Filter< 1 %
Row Splitter (deprecated)< 1 %- Missing Value< 1 %
- Rank< 1 %
- Sorter< 1 %
String Replace (Dictionary)< 1 %- Ungroup< 1 %
- Rule-based Row Filter< 1 %
- Math Formula< 1 %
- RDKit Descriptor Calculation< 1 %
- X-Partitioner< 1 %
- String to Number< 1 %
- Duplicate Row Filter< 1 %
- String Manipulation< 1 %
- Numeric Outliers< 1 %
- Statistics< 1 %
- DB Query Reader< 1 %
- RDKit Canon SMILES< 1 %
- Counting Loop Start< 1 %
Numeric Scorer< 1 %- Auto-Binner< 1 %
- Joiner< 1 %
- Single sample t-test< 1 %
- Lag Column< 1 %
- Scorer< 1 %
Column Rename< 1 %- ROC Curve (legacy)< 1 %
- Add Empty Rows< 1 %
- Rule Engine Variable< 1 %
Read Excel Sheet Names (XLS)< 1 %- Column Expressions (legacy)< 1 %
Loop End< 1 %PCA< 1 %String To Number< 1 %- Pivot< 1 %
- Lift Chart (legacy)< 1 %
- Color Manager< 1 %
- Time Series Generator< 1 %
- Boosting Learner Loop Start< 1 %
Excel Reader (XLS)< 1 %Recursive Loop Start< 1 %- Crosstab< 1 %
- DB Reader< 1 %
- Table Editor (JavaScript)< 1 %
- Data Explorer< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- Decision Tree Predictor< 1 %
- Reference Row Splitter< 1 %
Joiner< 1 %- Java Snippet Row Filter< 1 %
- k-Means< 1 %
- Correlation Filter< 1 %
- Double Input (legacy)< 1 %
- Column Selection (legacy)< 1 %
- String to Date&Time< 1 %
- RDKit Add Hs< 1 %
- Entropy Scorer< 1 %
- Row Splitter (Labs)< 1 %
- Integer Configuration< 1 %
- MolConverter< 1 %
Database Connection Table Reader< 1 %Line Reader< 1 %Loop End (2 ports)< 1 %- Column List Loop Start< 1 %
- Concatenate< 1 %
Concatenate (Optional in)< 1 %Cell Splitter< 1 %Column Appender< 1 %- Column Merger< 1 %
- Column Resorter< 1 %
- Domain Calculator< 1 %
- Nominal Value Row Filter< 1 %
- Reference Row Filter< 1 %
- Low Variance Filter< 1 %
Number To String (PMML)< 1 %- Numeric Row Splitter< 1 %
- Random Number Assigner (Apache)< 1 %
- MoSS< 1 %
XLS Reader< 1 %- Java Snippet (simple)< 1 %
- Java IF (Table)< 1 %
- R Snippet< 1 %
- RDKit Fingerprint< 1 %
- Extract Variables (Data)< 1 %
Table Row to Variable< 1 %- PCA< 1 %
- Random Forest Predictor< 1 %
- Simple Regression Tree Predictor< 1 %
- Column Comparator< 1 %
- Column Aggregator< 1 %
- One to Many< 1 %
- HiLite Row Splitter< 1 %
- Normalizer (Apply)< 1 %
- Numeric Binner (PMML)< 1 %
- String to Number (PMML)< 1 %
- Table Transposer< 1 %
- Unpivot< 1 %
- Extract Table Spec< 1 %
Merge Variables< 1 %- TimeDelay Loop Start< 1 %
- Math Formula (Multi Column)< 1 %
Date Input (legacy)< 1 %- Value Selection (legacy)< 1 %
- Python Source (legacy)< 1 %
- R Source (Table)< 1 %
- Date&Time Difference< 1 %
- Date&Time to String< 1 %
- Country Extractor< 1 %
- CDK to Molecule< 1 %
- Molecular Properties< 1 %
- Mass Calculator< 1 %
- Split Collection Column< 1 %
- String to URI< 1 %
- Variable to Table Column< 1 %
- PCA Apply< 1 %
- Column Auto Type Cast< 1 %
- Cross Joiner< 1 %
- Table Manipulator< 1 %
- RowID< 1 %
- String Manipulation (Multi Column)< 1 %
- Spark Line Appender< 1 %
- Modify Time< 1 %
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