This node splits the Bit Vector to integer columns.
The Bit Vector Generator node generates some position and name information as metadata. You can use that information in this node.
Options
Standard Options
Popular Successors
- Column Filter5 %
- PCA4 %
- Random Forest Predictor2 %
- MultiLayerPerceptron Predictor2 %
Number To String2 %- Column Aggregator2 %
Excel Writer (XLS)2 %- RDKit Descriptor Calculation1 %
- X-Partitioner1 %
- CSV Writer1 %
- k-Means1 %
PCA Apply1 %- PCA Apply1 %
- Column Combiner1 %
- Column Appender1 %
- Partitioning1 %
- Column Splitter1 %
- Workflow Executor1 %
- Rule Engine< 1 %
- SDF Writer< 1 %
- Math Formula< 1 %
- RDKit Fingerprint< 1 %
- Hierarchical Clustering< 1 %
PCA Compute< 1 %- PCA Compute< 1 %
- Random Forest Learner (Regression)< 1 %
- Concatenate< 1 %
- Cross Joiner< 1 %
Row Filter (deprecated)< 1 %- Normalizer< 1 %
- String Manipulation< 1 %
CASE Switch Data (End)< 1 %- t-SNE (L. Jonsson)< 1 %
- Create Collection Column< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- Random Forest Predictor (Regression)< 1 %
- Create Bit Vector< 1 %
- Number to String< 1 %
- Column Resorter< 1 %
- Reference Column Filter< 1 %
Row Splitter (deprecated)< 1 %- GroupBy< 1 %
Joiner< 1 %- Joiner< 1 %
- Low Variance Filter< 1 %
- Table Difference Finder< 1 %
- Table Transposer< 1 %
- Statistics< 1 %
- Bit Vector Distances< 1 %
- Keras Network Executor< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- Table to H2O< 1 %
- Excel Writer< 1 %
- Container Input (Table)< 1 %
- Python Script (legacy)< 1 %
- RDKit Molecule Extractor< 1 %
- Java Snippet< 1 %
- Group Loop Start< 1 %
- SVM Learner< 1 %
- Expand Bit Vector< 1 %
- Create Byte Vector< 1 %
- Missing Value< 1 %
- RowID< 1 %
CASE Switch Data (Start)< 1 %- Distance Matrix Calculate< 1 %
- k-Medoids< 1 %
- DL4J Feedforward Predictor (Classification) (legacy)< 1 %
XGBoost Tree Ensemble Learner< 1 %- RDKit From Molecule< 1 %
Loop End< 1 %Generic Loop Start< 1 %- DBSCAN< 1 %
- MDS< 1 %
- Logistic Regression Predictor< 1 %
- SMOTE< 1 %
- SVM Predictor< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Numeric Binner< 1 %
Column Appender< 1 %- Column Rename (Regex)< 1 %
- Constant Value Column< 1 %
- Duplicate Row Filter< 1 %
- Shuffle< 1 %
- Expand Vector< 1 %
- Renderer to Image< 1 %
- LIBSVMPredictor< 1 %
Excel Writer (XLS)< 1 %- Heatmap (JavaScript)< 1 %
- Fingerprint Similarity< 1 %
- Domain - Similarity< 1 %
- Fingerprints Expander< 1 %
- Loop End (Column Append)< 1 %
- Fuzzy Rule Predictor< 1 %
- Decision Tree Learner< 1 %
K Nearest Neighbor< 1 %- Association Rule Learner< 1 %
Random Forest Learner< 1 %- Random Forest Learner< 1 %
Random Forest Predictor< 1 %- Cell Splitter< 1 %
- Category to Number< 1 %
Linear Correlation< 1 %- Correlation Filter< 1 %
- Normalizer (PMML)< 1 %
- String Replacer< 1 %
- Rule-based Row Filter< 1 %
- Rule-based Row Splitter< 1 %
- Color Manager< 1 %
- Keras Network Learner< 1 %
- H2O MOJO Predictor (Regression)< 1 %
- Association Rule Learner (Borgelt)< 1 %
- Histogram Chart (JFreeChart)< 1 %
- JSON to Table< 1 %
- Table to R< 1 %
- XGBoost Predictor (Regression)< 1 %
- CDK to Molecule< 1 %
- Fingerprints< 1 %
- MCS Scaffold Finder< 1 %
- Domain - Leverage< 1 %
- Fingerprint to Set Bits List< 1 %
IF Switch (Flow Variable Value)< 1 %- MolConverter< 1 %
- Fingerprint Similarity< 1 %
- 2D/3D Scatterplot< 1 %
- Byte Vector Distances< 1 %
- Binary Objects to Strings< 1 %
- Strings to Binary Objects< 1 %
- Create File Name (legacy)< 1 %
- Inject Variables (Data)< 1 %
CSV Writer< 1 %Backward Feature Elimination Start (1:1)< 1 %Counting Loop Start< 1 %- Chunk Loop Start< 1 %
- Column List Loop Start< 1 %
- Naive Bayes Learner< 1 %
- PNN Learner (DDA)< 1 %
- Cluster Assigner< 1 %
- Fuzzy c-Means< 1 %
- Hierarchical Clustering (DistMatrix)< 1 %
- Decision Tree Predictor< 1 %
- K Nearest Neighbor< 1 %
- MDS (DistMatrix)< 1 %
- RProp MLP Learner< 1 %
PCA< 1 %- Linear Regression Learner< 1 %
- Logistic Regression Learner< 1 %
- Regression Predictor< 1 %
Numeric Scorer< 1 %Random Forest Learner< 1 %Random Forest Learner (Regression)< 1 %Gradient Boosted Trees Learner< 1 %Tree Ensemble Predictor< 1 %- Tree Ensemble Predictor< 1 %
Concatenate (Optional in)< 1 %- Auto-Binner< 1 %
Cell Splitter< 1 %- Category to Number (Apply)< 1 %
- Column Name Extractor< 1 %
- Column Renamer (Dictionary)< 1 %
- Column Merger< 1 %
- One to Many< 1 %
- Linear Correlation< 1 %
- Domain Calculator< 1 %
- Equal Size Sampling< 1 %
Column Filter< 1 %- Reference Column Splitter< 1 %
- Constant Value Column Filter< 1 %
- Missing Value Column Filter< 1 %
- Reference Row Filter< 1 %
- Reference Row Splitter< 1 %
Normalizer< 1 %- Pivot< 1 %
- Numeric Binner (PMML)< 1 %
- Column Filter (PMML)< 1 %
Column Rename< 1 %- Row Sampling< 1 %
- Target Shuffling< 1 %
- Ungroup< 1 %
- Unpivot< 1 %
- Value Counter< 1 %
- Ruleset Predictor< 1 %
- End IF< 1 %
- Histogram (legacy)< 1 %
- Interactive Table (legacy)< 1 %
- Save Workflow< 1 %
- Parallel Chunk End< 1 %
- DB Writer< 1 %
- DB Table Creator< 1 %
- Numeric Distances< 1 %
- Similarity Search< 1 %
DL Network Executor< 1 %- DL Python Network Learner< 1 %
- TensorFlow Network Executor< 1 %
- Column Expressions< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
DL4J Feedforward Predictor (legacy)< 1 %- DL4J Feedforward Predictor (Layer) (legacy)< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- Math Formula (Multi Column)< 1 %
- Scatter Plot (JFreeChart)< 1 %
XLS Writer< 1 %Excel Reader (XLS)< 1 %- Weka Predictor (3.7)< 1 %
Python Predictor< 1 %Python Script (1⇒1)< 1 %Python Script (2⇒1)< 1 %Python Script (1⇒2)< 1 %- R Snippet< 1 %
- Disturber Node< 1 %
XGBoost Linear Ensemble Learner< 1 %- XGBoost Predictor< 1 %
- Fingerprint Similarity< 1 %
- RDKit Molecule Highlighting< 1 %
- RDKit Molecule Substructure Filter< 1 %
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Workflows
01_Deploying_and_Validating_models_as_WebServicesKNIME Hub- 02_Hyperparameter Optimization_BonusKNIME Hub
- 02_Hyperparameter Optimization_BonusKNIME Hub
- 03_Bioactivity_Prediction_Learn_All_MethodsKNIME Hub
- 03_Bioactivity_Prediction_Learn_TestingKNIME Hub
- Show all 42 workflows
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