Highlights
- Rule Based Framework Extended and Improved
- Column Selection Framework Extended and Improved
- Better Model Training and Evaluation
- Workbench Monitoring, Performance, and Administration
- Data Generation
- Other New Features and Nodes
- Complete changelog File
Rule Based Framework Extended and Improved
New Rule Engine Node
New more powerful, more flexible, and more user-friendly Rule Engine Node. The configuration window of the new Rule Engine node follows now the same GUI as the String Manipulation node and as the Math Formula node. This new User Interface allows for an easier inclusion of flow variables and data columns in the rule editing frame and for replacing existing columns in the output data table. |  |
PMML Ruleset EditorNew Node! This new node is based on the framework of the new Rule Engine node (see above). It works like the new Rule Engine node, producing the resulting values as well as the rule set as a PMML model at the output ports. |  |
Rule Engine VariableNew Node! This new node is based on the framework of the new Rule Engine node (see above). It works similarly to the new Rule Engine node but on flow variables instead of data columns. |  |
Rule Based Row Filter/SplitterTwo New Nodes! These two new nodes follow the new Rule Engine node framework. They filter/split data rows on the basis of the rule set defined in the configuration window. Note that for this node the rule output must be TRUE or FALSE.
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Column Selection Framework Extended and Improved
New Selection Criteria in Column Filter Node and similar nodes
The Column Filter configuration window now allows to select the input data columns: This extended framework can be found in the Column Filter node as well as in all other nodes using the same column selection framework. |  |
Better Model Training and Evaluation
Unified Format for Predictor Nodes
All predictor nodes now: - show a similar configuration window- produce output data tables with the same format - can compute class probabilities on demand |  |
Extended Linear Regression Output
The Linear Regression Learner node now has an additional data output port, which outputs the regression coefficients and p-values. |  |
Numeric ScorerNew Node! This new node scores predictions for numerical targets, by computing a number of error measures, such as R², absolute and squared errors and the mean signed difference. |  |
Weka 3.7
Integration with Weka has been upgraded to the latest version of Weka, Weka 3.7. |
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Workflow Monitoring, Performance, and Administration
Send EmailNew Node! The Send Email node sends an email to a given email address. It can be used to send updates about the workflow execution status. Note. The node sends an email only if executed. If the workflow encounters an error before the Send Email node, you will receive no email. |  |
Save WorkflowNew Node! This new node saves the workflow upon execution. |  |
Save As ... New File Menu Option
New option "Save As ..." in the File menu to save the selected workflow under a different name. |  |
TextProcessing Speed Up
Faster implementation of the text processing package. Some nodes, like the tagger nodes and the string to Document node, can now be parallelized via the Concurrency tab or an additional option in the Options tab. |  |
Easier Extension Installation
All existing KNIME update sites are now available in the Preferences menu item (File -> Preferences -> Install/Update -> Available Software Sites). Just enable them, to perform a KNIME installation update or to install additional extensions from the File menu. |  |
Context Extractor NodeNew Node!The node Extract Context Properties makes some workflow context related properties available at the variable output port, including current user name, workflow name, and working directory. |  |
Data Generation
Counter GenerationNew Node! The Counter Generation node adds a counter column to the input data table. The counter starting point (Min. Value) and the step size (Scale Unit) can be defined in the configuration window. |  |
Time Series GeneratorNew Node! The Time Series Generator node generates a time series as an additional column in the input table, by repeating a pattern wave: saw tooth wave, sine wave, square wave, or triangle wave. |  |
Other New Features and Nodes
Cross JoinerNew Node! Performs a cross join of two tables. Each row of the first table is joined with each row of the second table. |  |
Pair ExtractorNew Node! "Unpivot" a distance matrix by extracting all pairwise distances from a distance matrix column. |  |
Distance Matrix to NetworkNew Node! Insert features from a Distance Matrix column into a network. Thresholded distances can be used as weights for edges. |  |
Flow Variables and Missing Values
Nodes TableRow To variable and TableRow To Variable Loop Start now include a strategy to deal with missing values. In the configuration window you can provide substitute values for possible missing values. |  |
Many more small improvements have been made under the hood - please refer to the changelog
