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Release Notes for RapidMiner Studio Versions 5.3 and Earlier

Listed below are enhancements and bug fixes for RapidMiner Studio version 5.3, version 5.2, version 5.1, and versions 5.0 and earlier.

What's New in RapidMiner Studio 5.3?

The following improvements are part of RapidMiner Studio 5.3.

Bug fix in RapidMiner Studio 5.3.14

Bug fixes

BUGFIX: Fixed 'Support Vector Machine' not complaining when input contained missing values

Bug fix in RapidMiner Studio 5.3.13

Bug fixes

BUGFIX: Fixed a problem with cursors leakage in Oracle databases

Enhancements and bug fixes in RapidMiner Studio 5.3.12

Enhancements

All operators that write files to disk will create missing directories
Disabling an operator with a sub-process does not disable its children operators anymore
Attribute parameters that are marked as mandatory but are not set will now cause an error when executing a process
RapidMiner creates a log file which logs exceptions
The operator tree will expand again when searching for operators
Clustering Algorithms will stop if processes is aborted
JDBC drivers updated
Macros in the macro view are by default ordered by macro name
Adds an API for adding custom functions to the Expression Parser
Improved performance of the import wizards
Tabs can now by minimized with Alt+Backspace instead of Ctrl+Backspace
Removed extensive logging if dockables are missing
Neural Net: Improved handling of attribute names
k-Means: Improved Metadata handling
k-Means: Applying nominal measures to numerical data is not possible anymore
Linear Regression: Improved missing values handling
Performance (Costs): Metadata checks for missing attributes
Map: Reduced the number of warnings shown in the log
Rename: Renaming attributes to an already existing attribute name is not possible anymore
Aggregate: Fixed error in median function that occured if ignore_missings was checked
Read CSV: Renamed 'escape character for quotes' parameter to 'escape character'
GSP: shows correct renderer in results perspective again
Loop Parameters: Show correct error if process is run without specifying parameters
Optimize Parameters: Improved keyboard handling of parameter dialog
Update Database: Fixed bug in case no columns are SET
Average: Improved error messages

Bug fixes

BUGFIX: Fixed problems with uploading binary files to RapidAnalytics
BUGFIX: Fixed error in CSV import wizard
BUGFIX: Fixed memory leak in process result perspective
BUGFIX: Fixed error in Pareto Plotter
BUGFIX: Fixed error when calculating Cluster Density Performance of kMeans
BUGFIX: Fixed error in auto-wiring
BUGFIX: Fixed compatibility issues after copying and pasting operators
BUGFIX: Fixed bugs in the Regexp dialog
BUGFIX: Fixed bug in the "cut()" expression* Neural Net: Fixed model which gave different prediction depending whether the example set had a label or not
BUGFIX: Performance (Costs): Fixed error with missing prediction attribute
BUGFIX: Read Arff: Fixed handling of missing values in date attributes
BUGFIX: Expectation Maximum Clustering: Fixed missing values handling
BUGFIX: GSP: Fixed problems with binominal regualr input attributes
BUGFIX: Generate Attributes: Fixed removal of attributes if overwriting attributes, keep_all parameter removes all attributes
BUGFIX: Loop Parameters: Fixed parameter editor dismissing values
BUGFIX: Send Mail: Fixed bug which caused an error after the password is encrypted
BUGFIX: Numerical to Date: Fixed error in the attribute selector

Enhancements in RapidMiner Studio 5.3.10

Enhancements

Plot view now shows preview images of the available standard plotters

Enhancements and bug fixes in RapidMiner Studio 5.3.9

Enhancements

Added rm.log logfile in .RapidMiner5 folder (found in the user home folder) for easier error diagnosis. The log will be overwritten each time RapidMiner is started.

Bug fixes

BUGFIX: Fixed some operators only showing the Annotations renderer in the results view, e.g. the Generalized Sequential Patterns operator
BUGFIX: Fixed 'Update Database' operator to also work when all attributes are set as ID attributes
BUGFIX: Disabling an operator which contains operators in a subprocess no longer disables its inner operators
BUGFIX: Pasting process xml into the XML View and clicking "Apply" will now also work when whitespaces have been inserted before the xml
BUGFIX: Exporting images/pdfs is more robust now
BUGFIX: Fixed 'Send Mail' operator failing with SMTP passwords set
BUGFIX: Fixed visual glitch when editing a metadata column header in the Import Wizards and resizing a left-handed column at the same time

Enhancements and bug fixes in RapidMiner Studio 5.3.8

Enhancements

Plugins can hook into the operator and port context menus to add own entries

Bug fixes

BUGFIX: Fixed memory leak in the "Fill Data Gaps" operator
BUGFIX: Fixed error in regular expression dialog
BUGFIX: Several fixes and improvements for the data import wizard
BUGFIX: Ignoring missings in the count function will actually ignore the missings in the count and will not display missing for the whole group

Enhancements and bug fixes in RapidMiner Studio 5.3.7

Enhancements

The current process is auto-saved, and the last edited process can now be restored after RapidMiner has terminated abnormally
Moved "Close all Results" button in the Results view to the popup menu on result tabs (right-click on a result tab header)
It is now possible to store different credentials for multiple RapidAnalytics repositories which all point to the same RapidAnalytics
Support for Vertica database (JDBC driver not shipped with RapidMiner)
Buttons from the "RapidAnalytics Proceesses" toolbar are moved to the context menu (Stop process, Open result, etc.)
Newly created repositories must have unique names now

Bug fixes

BUGFIX: Certain dialogs should be no longer too big when using HD-ready resolution or 1024x768 (e.g. for presentations)
BUGFIX: Process should no longer be flagged as changed when entering/leaving a subprocess via undo/redo
BUGFIX: It is no longer possible to create multiple local repositories in the same location
BUGFIX: Fixed error when trying to import a binary file into a newly created folder
BUGFIX: Changes to the user credentials in the "Configure Repository" dialog will now take effect without having to restart RapidMiner

Bug fixes in RapidMiner Studio 5.3.6

Bug fixes

BUGFIX: NPE in CrossDistanceOperator for nominal attributes
BUGFIX: In the Rename operator the check for existing attribute names will not check the role name

Enhancements and bug fixes in RapidMiner Studio 5.3.5

Enhancements

Changed drop target highlighting color from light-blue to light-orange
Process panel will not be highlighted anymore when dragging folders from the Repository View
Added a GUI preference option for drag target highlighting. Now it is possible to select whether the full target, the target's border or nothing at all should be highlighted.
In the Repository View it is no longer possible to drag Repositories.
Process size is now automatically adjusted when entering a subprocess or when loading a process.
When installing extensions, all licenses can be accepted with one click in a new license dialog.
Default connection timeout settings changed

Bug fixes

BUGFIX: Recursive creation of parent directories works properly again in all cases
BUGFIX: 32-bit Windows version of RapidMiner will now have more than 64 MB memory available when installed on a x64 system
BUGFIX: Write Database operator table name parameter allows custom names again
BUGFIX: Fixed disabled operator not always being activated when connected
BUGFIX: Fixed "Click to branch" popup sometimes appearing at the wrong position
BUGFIX: Errors during Repository movements should no longer break RapidMiner in headless mode
BUGFIX: Fixed some error messages and dialogs
BUGFIX: Process is no longer marked as changed when entering a subprocess
BUGFIX: Loading documentation from Wiki never blocks UI

Enhancements and bug fixes in RapidMiner Studio 5.3.0

Enhancements

Development JDK was switched to Java 7 but code still is compatible with Java 6.
Added new and improved extensive documentation (often including tutorial processes) for almost all operators
Added improved RapidAnalytics support. New run button: "Run process on RapidAnalytics". Can only be used if the process is stored on a RapidAnalytics repository. Instantly runs the process on the RapidAnalytics server the process is stored on
Connecting ports in reverse order is possible now (Input port -> output port)
Run on RapidAnalytics-Dialog can choose execution queue
New operators: Create Archive File and Add Entry to Archive File allow to create zip files
New operator: Performance to Data
New operator: Throw Exception
New file system operators: Copy File, Move File, Delete File, Rename File, Create Directory
New operators for handling annotations: Annotate, Annotations to Data, Data to Annotations, Extract Macro from Annotation
Aggregate: new aggregation functions: sum (fractional), count (fractional), count (percentage) and string concatenation
Execute Program operator has File Object ports for stdin, stdout, stderr
Loop Attributes: new output port which collects the data from all iterations
Macros can be passed through the command line. Example: 'rapidminer //repository/home/test/process -Mkey1=value "-Mkey2=value with spaces"' will provide two macros named key1 and key2
Result Perspective: Added button in top right corner of a result tab to close all open results at once
Repositories View: Added button which navigates to the repository location of the currently opened process
Repositories View: Added popup menu item to open the selected entry in the OS file browser (only for Local Repositories)
Added new view: 'Macros': This view shows macros and their values in real time during process execution
More consistent handling of input sinks and output sinks of processes and subprocesses:
- Sinks can be moved up or down by dragging them with the left mouse key while shift key is pressed
- Removed double click on process input sink, all actions on process sinks can now be trigged via a popup menu
Added resize button to text parameter editor dialog
Added resize button to text parameter editor dialog
Preferences menu buttons reworked: 'OK' button saves settings permanently and closes the dialog; 'Apply' button saves settings permanently and does not close the dialog
Generate Data: warn user if the selected number of attributes is not supported by the target function
The RM window title now shows the complete location of the current process to avoid confusion with multiple processes with the same name
Trying to create a new process/open another process/exit RM while a process is running now requires user confirmation
Local repositories which are inaccessible for any reason now have an annotation which shows that they are inaccessible
'Remote' repositories are now called 'RapidAnalytics' repositories.
Plugin loading: when loading manually installed plugins from the webstart or plugins folder with multiple versions, load the one with the highest version number
Added database metadata caching to improve performance. If you need to clear the cache, use the menu item 'Clear Database Metadata Cache' under the 'Tools' menu.
Declare Missing Values: allow to declare an empty string as missing, and ignore attributes which are not compatible to the selected mode.
Extract Macro: added optional list parameter to add unlimited macro name/value pairs when 'macro type' is set to 'data_value'.
'Synchronize Meta Data with Real Data' toggle button added in the top right corner of the process view. This will now propagate the real meta data to all reached input ports after process execution. This means that for example the operator after a breakpoint will have its meta data synched with the real data, therefore enabling e.g. attribute selection parameters to show the list of paramters available. Known Issue: Currently this information is lost once the operator updates itself, which happens for example if you deselected/select it again.
Loop Until: Added 2 checkboxes in order to choose whether you want a condition check depending on the example set or on the performance. 'condition before' is now deselected by default.
Select Parameters Dialog: Parameters from type ParameterTypeString are now treated like numerical Parameters (the Grid option is enabled now), in case you want to assign a row of numerical values to a String Parameter.
Select Parameters Dialog: All acceptable parameter types are now shown, even if the continuous/discrete mode is enabled.
Regular Expression Dialog: Dialog has a new tab: Regex Options. In this tab, the user can define options like multiline mode or case-insensitive matching. These options will be added to the pattern though embedded flag expressions.
Added new shortcut to toggle the breakpoint before an operator (Shift+F7)
Improved many error messages
Update Dialog: Revamped update dialog to show various lists of packages (search, most popular, bookmarks, etc. as well as functionality to log in/out)
Added a startup check for purchased but not installed extensions and a property to disable the check. Those Extensions can be directly installed from the dialog.
RapidMiner enters safe mode (not loading plugins) when startup was interrupted
Added new 'Export as PDF' action to the 'Print results or export' dropdown button
Deleted tooltips for the operator list of the OptimizeParameters (Grid) operator
UpdateDialog: Switched the positions of the install button and the link to the extension homepage
UpdateDialog: Checks if the user purchased the extension when returning to the dialog after hitting the "purchase" button
Replaced the standard Random function in the ExpressionParser with a custom one in order to involve the random seed/the RandomGenerator for the process
Updated JTDS driver to version 1.2.5
Loop Collection Operator has new parameters: 'set iteration macro', 'macro name' and 'macro start value'
Execute Process Operator: inverted the default values for all boolean parameters
Repository names now enforce a blacklist of invalid characters
Operators "Execute Process" and "Retrieve" are now named after the files your drop into the Process window
Nominal to Numerical: Parameter "default coding" is now set to dummy coding per default
Changed the help menu entry "Update RapidMiner" to "RapidMiner Marketplace"
Improved Remote Repository authentication
Improved data import wizards
Added default dialog options when running a process
Added attribute selector for the Extract Performance Operator
Database access: when several database connections with the same name exist, the once provided by the same server as the process is preferred

Bug fixes

BUGFIX: Recent files are now updated on process save
BUGFIX: The condition on performance check at the Loop Until Operator now works properly if the performance decreases
BUGFIX: Editing context variables now immediately flags the process as changed
BUGFIX: If set to 'ask', the 'close previous results' dialog will no longer appear when resuming from a breakpoint
BUGFIX: Breakpoints can no longer be added to the root operator
BUGFIX: 'Store process here' popup menu action on another process will now correctly flag the process as saved
BUGFIX: Added error message for 'Find Threshold' operator when an invalid class name is entered as parameter
BUGFIX: The Pivot operator used on an empty example set no longer creates an example set with one example (filled with missing values)
BUGFIX: The De-Pivot operator now has much better error handling when trying to setup the index attribute as an already existing attribute
BUGFIX: Read Excel cannot open the Import Configuration Wizard, if the excel_file parameter is not set
BUGFIX: Nominal to Binominal can handle border cases with mapping containing less than 2 values
BUGFIX: Configure Repository dialog now saves user credentials fore remote repositores again
BUGFIX: Added error shown in Problems view when entering invalid regular expression for 'replace what' parameter of Rename by Replacing operator
BUGFIX: When moving a repository entry to another location which contains an entry with the same name asks for overwrite instead of showing error
BUGFIX: Execute Process operator potential error reporting improved
BUGFIX: Creating folders in repository with the same name but different capitalization (e.g. 'test' and 'Test') is now forbidden
BUGFIX: filtering numerical and date attributes with Filter Examples is possible again
BUGFIX: Wrong parameter format in Clone Parameters causes exception
BUGFIX: Fixed GUI problem when trying to schedule a process on RapidAnalytics without existing RapidAnalytics repositories
BUGFIX: Fixed possible data loss when trying to store data/processes/etc in the repository using invalid characters for the given filesystem by now showing an error instead of failing silently
BUGFIX: Fixed possible data loss when trying to move repository entries into their own folder
BUGFIX: fixed an initialization problem in the Cross Distances operator, which caused wrong calculation of distances in some rare cases
BUGFIX: Quickfix Dialogs no longer vanish right after showing (RCOMM2012)
BUGFIX: RapidMiner no longer blocks for a varying amount of time if a connection to an online server fails
BUGFIX: Focus issue with delete action
BUGFIX: Import Binary File no longer freezes the GUI
BUGFIX: New Plotters showed a "This should not happen" message once in a while and where unusable until restart of RapidMiner (Bug #1274)
BUGFIX: Real to Integer operator: don't convert missings to 0, but keep them as missing
BUGFIX: Fixed wrong cell selection on rightclick for some tables after reordering columns
BUGFIX: Fixed startup failure when trying to start RapidMiner with broken Plugins
BUGFIX: Optimized update routine. Instead of failing with an cryptic error if no admin rights available, RapidMiner no shows an dialog that asks for admin rights
BUGFIX: Fixed the "Select for installation" button: Error when content/behaviour changed according to factors like if the extension was purchased. Now leads to the extension website when purchased but not installed. Now reacts properly to double-clicks in the extension list The "Install" button turns to a disabled state when no extensions are marked for installation
BUGFIX: AccountService is only queried when we are logged in. The login state is saved internally
BUGFIX: Process undo steps are now reset when a new process is opened
BUGFIX: Using undo in a subprocess will no longer reset the view to the top-level of the process
BUGFIX: The welcome perspective now updates the recent files list, so opening a process via it now opens the correct selected process
BUGFIX: Drag&Drop from the OS to the RapidMiner Process design canvas now also works for .xlsx files
BUGFIX: Fixed several repository problems when trying to overwrite entries with themselves
BUGFIX: UpdateDialog: Purchase link now changes to "install" after logging in and the purchase button now redirects to the extension website
BUGFIX: Generate Aggregation operator can now handle the case of zero matching attributes
BUGFIX: Fixed several key shortcuts that worked in the wrong perspective. For example, it is no longer possible to delete operators while in the result perspective
BUGFIX: Drag&Drop of files (e.g. .csv/.xls) creates the corresponding read operator with the now correct filename parameter
BUGFIX: Drag&Drop of operators should no longer create operators halfway outside the process canvas
BUGFIX: Import wizards will no longer overwrite existing data without asking for permission first
BUGFIX: Import wizards will no longer accept wrong file types/invalid filenames in the first step
BUGFIX: Read SAS operator no longer causes an internal error when the data file could not be read
BUGFIX: "Wiki" links in the documentation tried to open a tutorial process, now open the corresponding wiki page
BUGFIX: Macro Editor will now remember entered values without having to press enter
BUGFIX: Opening the context menu on result tables will no longer deselect the currently selected cells
BUGFIX: Pressing "Delete" in a subprocess with the surrounding operator selected will no longer result in deletion of the whole subprocess

What's New in RapidMiner Studio 5.2?

The following improvements are part of RapidMiner Studio 5.2.

Enhancements and bug fixes in RapidMiner Studio 5.2.8

Enhancements

Send Mail operator has a new behavior: Stop process and show error if mail cannot be send
Send Mail operator has a new parameter: 'Ignore errors'
Write CSV operator has a new parameter: 'Append to file'
Write Excel operator has a new parameter: File Format (xls, xlsx)
New Operator: Reorder Attributes
Set Macro: now can define empty macros

Bug fixes

BUGFIX: Fix a "This should not happen" message in the Advanced Charts.
BUGFIX: Keep old settings after updating RapidMiner
BUGFIX: 'Cancel' ParameterTypeList Dialog works correctly now
BUGFIX: FP-Growth correctly handles parameter 'must contain'
BUGFIX: Join Operator displays MetaData correctly

Enhancements in RapidMiner Studio 5.2.6

Enhancements

Read SAS operator
Added timezone parameter to Date to Nominal operator
Excel 2007 support
Dialog for editing cron expressions
Dialog to see preview for regular expressions
Update Database operator
Easier mechanism for Extensions to create configurable items
Japanese and German translation

Enhancements in RapidMiner Studio 5.2.2

Enhancements

Remove Correlated Attributes uses deterministic random numbers
Improved Repository Tree handling (save expansion state on refresh and improved tree selection on entry removal)
Improved exporting of Advanced Charts View

Enhancements in RapidMiner Studio 5.2.1

Enhancements

Added operators to manage repository entries: Copy, Move, Delete, Rename

Enhancements in RapidMiner Studio 5.2.0

Enhancements

Added "Advanced Charts" view
Added "File" objects to pass to reader operators.
- Added operators to open files and URL connections
- Added operators to iterate ZIP files
Superset and Union operator can handle special attributes
Catch block subprocess for Handle Exception operator
Database connections can define driver properties
XML import
Join operator can operate on multiple columns
Easier bug reporting: Direct connection to Bugzilla
Added new Operators:
- Denormalization Operator
- Remove Unused Values Operator
- Loop Repository
- Open File, Write File, Loop Zip-File Entries
- Read Excel with Format
Aggregation Operator now supports default Aggregation for a set of attributes and is implemented more efficiently
The last edited process can now be restored after RapidMiner has terminated abnormally

What's New in RapidMiner Studio 5.1?

The following improvements are part of RapidMiner Studio 5.1.

Enhancements

Added RapidAnalytics connectivity
Added new repository type that reflects database connections
Added type-specific icons to repository tree
Added annotations to IOObjects
Import operators and wizards remake
Most wanted feature: "Rename" and "Set Role" can handle multiple attributes at a time
Versioned operators allow easier updates
"Generate Attributes" has new UI and supports more text and date functions
Operator documentation uses Wiki (http://rapid-i.com/wiki/).
IOObjects can be annotated, e.g. with file source or SQL statement
Added new Operators:
- Print to Console
- Unset Macro
- "Auto MLP" and "k-Means (fast)" contributed by DFKI
- Hierarchical Classification
- Numerical to Date
- Delay
Database operators can prepare statements
Revised import wizards
Background tasks stoppable
Added process profiling and resource consumption annotations
Added Support for R Extension
Added new boolean GUI property rapidminer.gui.fetch_data_base_table_names which suppresses to fetch data base table names in the SQLQueryBuilder
More efficient meta data handling for Excel, CSV, and database readers
Meta data propagation uses context macros throw new UserError (this, "move_file.exists", destinationFile);
Splash screen shows plugins
Aggregate operator can compute product
Various smaller fixes
Various UI improvements

Bug fixes:

Fixed memory leak causing RapidMiner to run out of memory if processed many and large example sets
Re-added descriptive error messages

What's New in RapidMiner Studio 5.0 and earlier?

The following improvements are part of RapidMiner Studio 5.0 and earlier.

What’s New in RapidMiner Studio 5.0 [2009/12/8]?

Enhancements

Added an operator for performing a local polynomial regression
Added an operator for calculating weights using a local polynomial regression.
Added an operator for extracting the cluster centroids or prototypes from a flat cluster model.
Added an operator for calculating the cross distances between example sets.

What's New in RapidMiner Studio 5.0beta [2009/09/30]?

Enhancements

Redesigned graphical user interface comprising a docking framework to freely layout GUI components and save different layouts in multiple perspectives.
New visual representation of processes, i.e. a graph-based flow layout which allows to define and observe the actual data flows in processes in a very intuitive way.
Added automatic generation, propagation and transformation of meta data simulating the actual data handling in RapidMiner at design time allows for much less error-prone process design. Quickfixes provide hints and solutions in case of inaccurate parameter settings, erroneous operator usage, etc.
Added repository module allowing to conveniently store, manage and archive processes, data, models and any other arbitrary data object in RM.
New process context provides a new way to define the inputs and outputs of processes and allows a better integration and sharing of processes in distributed settings.
New result history view provides an overview of recent process results.
Consolidated operator names and implemented a reasoned operator naming scheme which provides easier access for beginners as well as experienced RapidMiner users.

What's New in RapidMiner Studio 4.5 [2009/07/20]?

Enhancements

New Weka version (as of September 21st, 2009)
Implementation Details:
- New properties for additional ioobjects.xml

Bug fixes

Fixed bug for reporting images smaller than 800 x 600
Fixed class loader problem occurring when more than one plugin was used
Fixed bug for iterative operator chain
Fixed XML export bug where XML in parameters was not properly escaped
Fixed bug in parallel cross validation

What's New in RapidMiner Studio 4.4.2 [2009/07/11]?

Enhancements

New operators:
- FormulaExtractor
- Trend
- LagSeries
- VectorLinearRegression
- ExampleSetMinus
- ExampleSetIntersect
- Partition
- Script
Drastically reduced access times for attribute retrieval by name
Improved the operator Aggregation in terms of speed and memory consumption
Improved the operator ExampleSetJoin, correct inner join for example sets with non-equal numbers of ids, added left and right outer joins
Latest version of Weka (as of 2009/07/11)
Latest version of MySQL JDBC driver (5.1.17)
Implementation Details:
- Updated to new versions of Jung and JFreeChart

Bug fixes

Fixed bug in Split operator for ordered splits where shorter sequences did not get filled with ?
Fixed bug in FeatureSubsetIteration where not all subsets where used during the iteration

What's New in RapidMiner Studio 4.4.1 [2009/04/30]?

Enhancements

New operators:
- ForwardSelection
- NeuralNetImproved
- KernelNaiveBayes
- ExhaustiveSubgroupDiscovery
- URLExampleSource
- NonDominatedSorting
Deprecated operators:
- NeuralNet (use NeuralNetImproved instead)
- NeuralNetSimple (use NeuralNetImproved instead)
Deprecated operators are also shown in context menu with a light gray color now
The notification mail at the end of a process can now also be sent by SMTP instead of sendmail
Most file based data input operators now provide an option to skip error lines
Most file based example source operators (Arff, Excel, DasyLab, Stata, SPSS, XRFF) as well as the IOObjectReader and the new URLExampleSource now accept URLs instead of a filename for the input source location
All discretization models now support the definition of the desired number of digits for automatic interval name determination
The LiftParetoChart now supports the definition of the number of digits for the confidence intervals
Improved time display in status bar
Enabling / Disabling operator now works with CTRL-E
Fixed several issues in GUI thread handling which might have lead to deadlocks and long GUI updates on certain systems
Clean-up of nominal value mappings in process log table in case of sorted top-k for reduced memory footprint
Implementation Details:
- DistanceMeasure creation now is based on the operator and gets the input container as well

Bug fixes:

NeuralNet and NeuralNetSimple did not properly work on regression problems. While NeuralNetSimple could be fixed, a new operator NeuralNetImproved is now provided which should be used instead of NeuralNet and NeuralNetSimple. Since this operator is also faster and more scalable, it should be used instead of the both old (and now deprecated) neural net implementations
Fixed bug in renaming where decimal point characters got lost
Fixed issue in model applying leading to a wrong remapping of the label values afterwards if an independent test set was used. Important: this bug did not deliver wrong predictions but simply changed the label values displaying.
Fixed several issues in GUI thread handling which might have lead to deadlocks and long GUI updates on certain systems
Fixed bug in bar chart for numerical group by columns
Fixed bug in DasyLab example source which sometimes led to doubled characters at the end of feature names
Fixed bug in OperatorSelector for macro usage

What's New in RapidMiner Studio 4.4 [2009/03/14]?

Enhancements

New operators:
- ExampleSetSuperset
- ExampleSetUnion
- MacroConstruction
- CumulateSeries
- FastLargeMargin
- Split
- Construction2Names
- NeuralNetSimple
Parameters will now be adapted according to an operator rename, for example the settings of operators like the ProcessLog or the parameter optimization operators are automatically corrected to the new operator names
Graphs like the similarity graph display the strengths of the edges now by their color
Added new tree layout algorithm for the decision trees preventing most overlapping, the old tighter version is available as layout type "Tree (Tight)"
Decision trees now show the subtree size as tool tip for the inner nodes, the edges are now darker for larger subtrees and brighter for smaller ones
Decision trees are learned faster now due to internal optimizations in the splitted example set handling
Tables like the (meta) data view now supports a new context menu for common table operations like column sorting or row / column selection
The "New Operator" dialog now also supports full text search in the description texts of the operators
RapidMiner now stores all parameter values in the process files including the default values which ensures a better compatibility with future versions. The XML tab, however, only shows the values differing from the default
Plugins can now define a class com.rapidminer.PluginInit providing a method "initPlugin()" which will be invoked during plugin initialization
Univariate and multivariate series windowing operators now also support nominal attributes and even mixed types in cases where the series is represented by the examples (rows) of the data set
The range statistics of nominal attributes in the meta data view now shows the values with highest and lowest occurrency counts, sorts the values according to the counts, and displays only an excerpt of the occurring values if large amounts of different values exist
List of recent files is now directly saved after opening a new process and not only during shutdown
Changes in the process setup are now allowed even during process runtime, e.g. when waiting at a breakpoint
NaiveBayes can now handle new nominal values during the model application phase
Deprecated operators are now rendered with a gray color in the new operator tab and dialog
Updated to the latest version of Weka (as of February 26th, 2009)
Updated to the latest version of Joone, optimized some of the neural network default parameters
Added some new sample processes to the sample directory as well as to the tutorial
ExampleFilter and most important discretization parameters are no longer expert parameters
ArffExampleSource now states an error message in cases where attributes containing a space which is not quoted
New binominal classification performance measures:
- positive predictive value
- negative predictive value
- psep
Implementation details:
- SplittedExampleSet has been improved leading to faster data access times for operators like cross validation or decision tree learning
- Plugins can now define a class com.rapidminer.PluginInit providing a method "initPlugin()" which will be invoked during plugin initialization

Bug fixes

Fixed bug accuracy criterion for the revised decision tree learner
Fixed bug in parameter list of ValueSubgroupIterator
Fixed bug in ExceptionHandling which sometimes led to doubled outputs
Fixed bug in ProcessBranch which sometimes led to doubled outputs
ViewAttributes did not add min and max statistics so that those statistics where not calculated on data table views
Fixed bug in Windows GUI start script (linebreak)
Fixed bug for surface 3D plot where x and y were replaced by each other
Fixed paths to icons for building blocks
Fixed issue with ROC plots in cases where several points with same confidence occurred
Fixed potential thread deadlock during the filling of the plotter list
Fixed bug for distance weighted vote and k = 1 in NearestNeighbors
Fixed a bug in ChiSquaredWeighting for mixed-type data sets where the number of bins was smaller than the maximum number of nominal values
The default global random seed in the preferences dialog was not allowed to be set to -1 throw new UserError (this, "move_file.exists", destinationFile);
The property keys of the preferences dialog were editable
Fixed bug in PolynomialRegression
Range normalization now delivers maximum value for constant attributes
Weighted precision and recall do now no longer deliver NaN if a class did not occur

What's New in RapidMiner Studio 4.3.2 [2009/02/17]

Enhancements

New operators:
- LinearDiscriminantAnalysis
- QuadraticDiscriminantAnalysis
- RegularizedDiscriminantAnalysis
- DasyLabExampleSource
- FileIterator
- ExceptionHandling
- ChangeAttributeNamesReplace
- ChangeAttributeNames2Generic
- DateAdjust
- MinMaxBinDiscretization
- RainflowMatrix
Deprecated operators:
- DirectoryIterator (use FileIterator instead)
Renamed parameters:
- ExampleSetWriter: quote_whitespace is now named quote_nominal_values
ExampleSetMerge can now handle missing values
RapidMiner does now better support counts for the in- and output types which should considerably reduce the amount of warnings if operators like IOConsumer, IOMultiplier or ExampleSetMerge (reducing several objects of the same type to one of the same) are used
FileIterator replaces DirectoryIterator and adds many new features like recursive iteration, file name based filtering, and a new macro for the parent path
Centroid based clusterings now support assigning unseen examples to the nearest cluster on apply time
ProcessBranch now supports a branching with respect to the existance of an input object
ClearProcessLog now also allows to remove the complete logging table
The logging tables of the ProcessLog operator will now not be generated during start up but during the first operator usage (and also during the following if the table was deleted in the meantime, e.g. in a loop)
Added support for different time zones, users can now define the preferred time zone in the settings dialog and time conversion operators are not able to respect this setting
Date and times are now displayed in the system's local settings
New plotter: Block
Added support for applying a log scale for the color column for the Scatter plot and the new Block plotter
Data tables like those generated by the process log are now de-coupled from the table used for plotting preventing that the rows will be sampled and rows would be removed from the data table
A double click on the region between two columns in the table header now automatically resizes the left column to a fitting size (known from Windows programs)
A double click on the same region while pressing CTRL will resize all table columns according to the contents
GuessValueTypes now only works on regular attributes and provides a parameter for extending it on the special attributes (work_on_special)
AttributeFilter now also provides a new parameter work_on_special
The operator Replace now also allows empty replace_by values
The ExampleSetJoin operator now also works if the id of the first example set is not part of the second
Guess value types can now handle missing values
CSVExampleSetWriter now supports the parameter quote_nominal
All feature selection and weighting operators now also provide the possibility to log the names of the features of the current generation's best individual
The Replace operator now supports capturing groups
The file based example source operators (ExampleSource, SimpleExampleSource, CSVExampleSource...) now better supports quoted strings and also escaped quotes (escaping with \")
Implementation details:
- The method Tools.quotedSplit(...) should now be used instead of a regular split followed by the method Tools.mergeQuotedSplits(...)

Bug fixes

Fixed bug in DBScan for empty cluster models
Fixed bug for simple sampling in cases where a local
Fixed bug in process logging to files which prevented the writing of the first logged result
Fixed bug in PSO optimization for cases where the fitness should be minimized instead of maximized
Fixed bug in binary performance measure which was not delivering the fitness for specificity, sensitivity, and youden index
Fixed bug in meta data table viewer in cases where huge numbers of long nominal values existed which caused a crash of the Java Virtual Machine in some cases

What's New in RapidMiner Studio 4.3.1 [2009/01/12]?

Enhancements

New operators:
- RemoveDuplicates
- Cluster2Prediction
- DirectoryIterator
- TextObjectWriter
- TextObjectLoader
- TextExtractor
- SingleTextObjectInput
- TextCleaner
- TextObject2ExampleSet
- TextSegmenter
- AddAttribute
- SetData
- EMClustering
- AttributeWeights2ExampleSet
- TransitionGraph
- DatabaseExampleVisualizationOperator
Revised decision tree learning which lead to drastically reduced runtimes and better tree models in terms of generalization capabilities
The bar chart now displays the category as label in the domain axis
Removed plotter: Bars 3D
The IOObjectReader now allows the definition of the expected output type
The LiftParetoChart does no longer re-apply the input model if a predicted label does already exist
Added the ability to "explode" tiles of pie and ring charts
Added several new options for the reporting operators of the RapidMiner Enterprise Edition as well as true parameter handling including type checks
Updated to latest release of Jung
Fixed GUI related memory leaks
Implementation details:
- The class AttributeWeightsCreator was renamed to ExampleSet2AttributeWeights

Bug fixes:

Fixed a combination of GUI and process thread related memory leaks
Fixed bug in Series Multiple Plotter which prevented rescaling
Pie and Bar charts used class limit instead of legend limit in order to decide if the legend should be shown
special format in ExampleSetWriter ignored quote whitespace setting
Fixed bug in XVPrediction

What's New in RapidMiner Studio 4.3 [2008/11/22]?

New operators:
- AccessExampleSource
- Example2AttributePivoting
- Attribute2ExamplePivoting
- PolynomialRegression
- Similarity2ExampleSet
- ExampleSet2SimilarityExampleSet
- Nominal2String
- String2Nominal
- Date2Numerical
- Real2Integer
- Numerical2Real
- Nominal2Numerical
- Numerical2Binominal
- Numerical2Polynominal
- AbsoluteDiscretization
- ConditionedFeatureGeneration
- AttributeAggregation
- SupportVectorCounter
- MutualInformationMatrix
- GaussFeatureConstructionOperator
- ProductGenerationOperator
- AbsoluteValues
- MovingAverage
- ExponentialSmoothing
- SeriesMissingValueReplenishment
- DifferentiateSeries
- IndexSeries
- Numerical2Real
- Real2Integer
- FillDataGaps
- EnsureMonotonicity
- WindowExamples2ModelingData
- WindowExamples2OriginalData
- ProcessLog2AttributeWeights
- Mapping
- Substring
- Trim
- Replace
- AddValue
- MergeValues
- AttributeConstruction
- ValueIterator
- IOStorer
- IORetriever
- SQLExecution
- ClearProcessLog
- ProcessLog2ExampleSet
- Data2Performance
- Data2Log
- Macro2Log
- DataMacroDefinition
- LiftParetoChart
Deprecated Operators:
- Nominal2Numeric (please use Nominal2Numerical instead)
- Numeric2Binominal (please use Numerical2Binominal instead)
- Numeric2Polynominal (please use Numerical2Polynominal instead)
- LinearCombination (please use AttributeAggregation instead)
- AttributeValueMapper (please use Mapping instead)
- AttributeValueSubstring (please use Substring instead)
- AddNominalValue (please use AddValue instead)
- MergeNominalValues (please use MergeValues instead)
New implementation of clusterings for more efficient computing and memory usage:
Reimplemented or adapted operators:
- AgglomerativeClustering
- ClusterModel2ExampleSet
- DBScanClustering
- ExampleSet2ClusterModel
- FlattenClusterModel
- KMeans
- KMedoids
- KernelKMeans
- RandomFlatClustering
- SupportVectorClustering
- TopDownClustering
- ClusterModelWriter
- ClusterModelReader
- TransitionMatrix
Removed operators:
- AgglomerativeFlatClustering, use AgglomerativeClustering and FlattenClusterModel instead
- BregmanHardClustering, use KMeans with BregmanDivergences instead
- ExampleSet2ClusterConstraintList
- MPCKMeans
- TopDownRandomClustering, use TopDownClustering with RandomFlatClustering as inner learner
- UPGMAClustering, use AgglomerativeClustering with average link instead
- SimilarityComparator
The new AttributeConstruction operator supports infix written formulas, a simple format for constants and new calculation methods
Better support for special characters in process XML
Macros are now also supported in parameter lists and for numerical parameters
Added new overwriting mode to the DatabaseExampleSetWriter named "first overwrite, then append"
Replaced "append" parameter in ExampleSetWriter by the new overwriting modes "none", "overwrite", "append", and "first overwrite, then append"
ExampleFilter can now use regular expressions for the values of the nominal attribute value filtering
New Plotter: Pareto Chart
New Plotter: Series Multiple
New Plotter: Scatter Multiple
The old scatter plotter has been divided into a new Scatter plot and the new Scatter Multiple plot
Most plotters now support panning during zooming by pressing the Ctrl Key while dragging the mouse
The file chooser in the modern look and feel now always remembers the last directory from which a file was chosen as an additional default bookmark (on the left)
Changed the order the in which models are added to the grouped model (ModelGrouper), i.e. the last created model will now be added as last one
The wizards of the database reading and writing operators are now initialized with the last settings
The feature selection and feature weighting operators are now based on double arrays which should lead to smaller memory footprints
Added new performance measures:
- sensitivity
- specificity
- Youden index
- relative error lenient
- relative error strict
The CachedDatabaseExampleSource operator has now a more appropriate wizard
The plotters now provide consistent colors for classes
Improved the names of the features of the (multi-)variate windowing operators
Multivariate windowing now also supports a name for the label column in addition to the index
Multivariate windowing can now also applied without the creation of a label and even with horizon 0
Improved the graph and plotter panel for long column / item names, long names are now displayed in a short fashion and the full name is shown as tool tip
DecisionTree now supports a new parameter min_size_for_split
Added new process branch conditions:
- attribute_available
- min_examples
- max_examples
- min_attributes
- max_attributes
The viewers for symmetrical matrices like correlations etc. now always shows the values of the first column
Improved the range names of discretized data
Added selection of criterion to AssociationRulesGenerator, also improved the visualization of association rules by adding a selector for the criterion used for the minimum value slider
Added new option for Normalization. Now might chose from z-transformation, range-transformation or the new proportional transformation via category selection.
LinearRegression is now also applicable on binominal classification tasks
Added support for logging only the top-k or bottom-k objects with the ProcessLog operator
Improved the parameter optimization / iteration dialog: small numbers are no longer cut off, GUI is more consistent, dialog now used icons
Improved the CachedDatabaseExampleSource operator and database handling: now arbitrary tables are accepted and primary keys (index) and / or mapping tables are automatically handled
Integrated the latest version of the JFreeChart library
A dialog informs the users now if any unknown parameters were part of the process during loading
A SimpleVoteModel now supports the output of textual results
(Multivariate) Windowing on example based input representations now keep the input id attribute
Added writing of intermediate weights for GeneticAlgorithm (feature selection) and EvolutionaryWeighting (feature weighting), both operators now also support the initialization with attribute weights (e.g. from the last run)
Implementation Details:
- Moved AnovaMatrix(Operator) into the package com.rapidminer.operatir.visualization.dependencies
- Moved all attributes based matrix operators (correlation, covariance etc.) into the new package com.rapidminer.operatir.visualization.dependencies
- Moved aggregation functions into package com.rapidminer.tools.math.function.aggregation

Bug fixes

processes now only write the logged information from the run, not the global information for example collected from the GUI. Hence, the logging will also no longer directly overwrite old log files right after loading
switch workspace and initial workspace selection now prevent the selection of the RapidMiner main directory and all subdirectories in order to prevent a recursive copy
switched weight "direction" for corpus based weighting
fixed bug in evolutionary parameter optimization in combination with logging
fixed bug in Wizard for ExampleSource preventing the correct guess of value types (were always nominal)
fixed error in nominal re-mapping for cases where the nominal values of training and test set did not match
fixed jittering bug in Histogram plots causing the bins to drop out of the plotter
fixed minor bug in ExampleSetWriter which caused the ExampleSource operator to state a warning
fixed bug if special characters were part of the process XML
DistributionModel is updatable now
AttributeValueSubstring ignores missing values and is able to extract single characters now
Fixed a GUI error only occurring in Java 6 Update 10
Fixed bug in FeatureSubsetIteration where the specified maximum number of features was not used
Fixed bug in PerformanceVector writing from the result dialog (Save button) which led to large data files and long runtimes until the data was actually saved
Fixed bug in uninstaller which under certain circumstances also removed non-RapidMiner files in the installation directory

What's New in RapidMiner Studio 4.2 [2008/07/14]?

Enhancements

New operators:
- Nominal2Date
- Date2Nominal
- KernelPCA
- EqualLabelWeighting
- StataExampleSource
- FeatureSubsetIteration
- RelativeRegression
- AttributeValueSubstring
- CachedDatabaseExampleSource
- NameBasedWeighting
- BatchProcessing
- GroupModel
- UngroupModel
Aggregation now supports multiple aggregations (also of different attributes) as well as grouping by values of multiple attributes. Aggregation attributes and functions are now specified by a parameter list.
Added support for attributes with value types date, time, and data_time: these can be created from nominal attributes with the operator Nominal2Date for arbitrary date formats
Histogram plotters now support jittering and log scales
The database wizard is improved and now supports large data sets which caused memory problems in the older versions during table and attribute name retrieval
The statistics in the meta data view of data sets are no longer calculated per default for data sets larger then 100000 rows - the calculation is available from the menu in the upper right corner
"ExampleSet" was renamed to "Data Table", the rows are still called "Example" and the columns are still called "Attribute"
The iteration through partitioned / splitted data sets is now more efficient (especially for linearly splitted sets)
All plotters can now handle missing values
Many plotters now support the plotting of absolute values and / or sorting according to the plotted column
Removed time-consuming checks (including a full data scan before plotting)
One-Class SVM for LibSVMLearner now properly supported
The new operators GroupModel and UngroupModel now replace the automatic building of ContainerModels (merging preprocessing with prediction models) and hence give the user more control over the model building / grouping process
AttributeSubsetPreprocessing now supports the inversion of the specified regular expression
The operator AttributeSubsetPreprocessing was enhanced so that it can now be applied on subsets defined similarly to the new AttributeFilter operator. Hence, the subset preprocessing can for example only be performed on nominal or numerical attributes
The database example set writer now supports new overwriting / appending modes
Instead of the "work_on_database" mode of the usual DatabaseExampleSource operator we now recommend the new operator CachedDatabaseExampleSource which will keep the data in the database in a more efficient way. However, please note that writing in such a table is not directly possible and must be performed with a DatabaseExampleSetWriter
Implementation Details:
- optimized KNN for speed issues, gaining boost up to 13x
- replaced NaiveBayes with highly efficient version (changes: distribution plots now show conditional probabilities without consideration of a priori probabilities, heuristic use of kernels has been removed)
- integration of RapidMiner is now easier since the location of plugins and Weka can be properly defined with settings and the definition of "rapidminer.home" is no longer necessary
- clean-up for value types (Ontology)
- The ValueInterface now delivers Object instead of double, i.e. the logging of nominal values is now also supported
- New renderer service for providing the visualizations of the results. This will replace the method getVisualizationComponent() in the long run
- added latest version of the chart library (as of July 13th 2008)
- added latest version of Weka (as of July 13th 2008)

Bug fixes

Fixed two bugs in new parameter wizard gui for string and integer parameters
CSV- and SimpleExampleSource now accept lines which correctly divided empty strings (i.e. missing values) at the end of the lines
Fixed wrong number of bins for the square root number of bins in the frequency discretization operator
Fixed closing behaviour of the switch workspace dialog
Changes in XML tab were not used if the tab was left in other ways than by changing the tab to another one

What's New in RapidMiner Studio 4.1 [2008/05/09]?

Enhancements

New operators:
- StratifiedSampling
- AbsoluteStratifiedSampling
- GuessValueTypes
- UseRowAsAttributeNames
- MemoryCleanUp
- MaterializeDataInMemory
- UncertainPredictionsTransformation
- CovarianceMatrix
- AttributeFilter
- RandomSelection
- FrequentItemSetUnificator
- FrequentItemSetAttributeCreator
- OperatorSelector
- CostEvaluator
- AttributeMerge
- KennardStoneSampling
New 64 bit version for Windows x64 OS now provided; other 64 bit systems are supported by using a 64 bit Java version
Parameter optimization operators now provide a nicer wizard dialog for setting the parameters
All GUI elements provide now longer descriptions for operators
SplitChain and AbsoluteSplitChain were moved from the postprocessing into the meta group
Meta group was restructured and two subgroups (control and other) were added
Fixed a memory leak in the result history which was affecting the GUI for multiple processes if they were performed in a single sequence
SOMDimensionalityReduction and SVDReduction are now able to create a preprocessing model
BruteForce and GeneticAlgorithm feature selection now support a minimum and maximum number of features and also the selection of a exact number of features
RapidMiner now offers two different look and feels: modern (recommended) and classic
Improved comment tab so that it already registers and saves new text directly after it was typed (instead of changing the tab)
DataStatistics (IOObject) now shows the standard deviation like in the GUI instead of the variance
Robustified ExampleSource wizard: the same output files as the input file are no longer allowed
Series Plotter does now no longer scale the axis ranges in a way that zero must be contained
All SVM and other hyperplane models now supports the visualization of a sortable data table for the coefficients (weights)
An error message now indicates if XML entities are used for operator names which is not allowed
Anova calculator now allows value editing in table and the specification of the significance level
Meta data views can now be correctly sorted according to sum or unknown value columns
MissingValueImputation: added warnings in the case that not all values could be imputed, improved attribute ordering (ascending and descending sorting, sort by number of missing values), added log messages
Naive Bayes distribution model now uses the same class coloring for both numerical and nominal distributions
Latest available Weka version integrated (as of 2008/05/09)
Implementation Details:
- The AttributeParser no longer supports batch generations
- The ClusterModel reader is now able to read both compressed and uncompressed files
- PCA and GHA now use global covariance matrix calculation

Bug fixes

LibSVMLearner now provides the correct range for the nu parameter
Fixed bug in AttributeParser which prevents the correct calculation for nested generations or cases where the generation is divided into several operators
Fixed bug in value type guessing for numerical columns with missing values
Fixed bug in ExampleSetTranspose for missing values in nominal attributes
Fixed bug in DatabaseExampleSource Wizards for user defined URLs
Parameter lists are now cloned correctly
Fixed bug for quoted input files occuring in some cases where the quoted string was part of the line before
Fixed a bug for learning with example weights with the JMySVM learner
Fixed a NPE if empty example sets were used as input for feature selection operators
Fixed wrong normalization for confidences predicted by distribution models (e.g. NaiveBayes)
AttributeEditor and ExampleSource wizard did not regard the decimal point character (and quotes)
The value type guessing operators did not take a possible decimal point character different from '.' into account
Fixed tool tip for z-transform in Normalization operator: changed "variance" to "standard deviation"
Fixed locale for Ok - Cancel dialogs to US locale like the rest of RapidMiner
Fixed bug in operator tree which caused the reconstruction of the expansion state to be faulty in some cases
Fixed statistics copy bug introduced in 4.1beta2 for predicted label statistics

What's New in RapidMiner Studio 4.1beta2 [2008/02/15]?

Enhancements

New operators:
- ProcessBranch
- FileEcho
- ExchangeAttributeRoles
- ChangeAttributeRole
- SeriesPrediction
Deprecated operators:
- ChangeAttributeType (use ChangeAttributeRole instead)
New version of chart plotting library
New plotter: Series
Removed the numerical sample sizes for the tree and rule learners
Introduced different shapes for plotter points
Use bigger strokes for plotter lines
Added max_items parameter for FPGrowth
Changed default mode for view creation of preprocessing models
Added signum generator for manual feature generation and for generation with YAGGA2
Relief can now handle missing values
Changed default data representation back to double because too high number of rounding errors otherwise for larger data ranges
Implementation Details:
- Introduced AttributeDescriptions and AttributeTransformations in order to lower large memory consumptions due to clones and to avoid re-wrappings for new views on the example set view stack
- removed clone of mappings for clones of nominal attributes
- Changed DataRow methods from package private to protected
- ConditionedExampleSets no longer support dynamical conditions
- Changed default data representation back to "double"
- The visualization of integers and the nominal statistics calculation are now based on longs instead of integers

Bug fixes

Fixed MAJOR bug introduced in 4.1beta in example sets / views which occured after a new view was created on top of a splitted example set (e.g. in a cross validation) and has hidden the partition then
Fixed some problems (due to too much cloned objects, see above) which caused much more memory usage in 4.1beta
Fixed bug in PredictionTrendAccuracy calculation
Fixed wrong linefeeds in unix start scripts
Fixed bug in aggregation function selection of the chart plotters
Fixed ID handling bug for example sets (views) which prevented the correct application of Id-based operators like the ExampleSetJoin operator
Fixed bug in table index assignment of view attributes
Fixed bug in SortedExampleSet
Fixed bug in some plotters based on JMathplot
Removed remapId() call in IdUtils which increased the runtime of some clustering schemes (especially DBScan and SupportVectorClustering)
Fixed bug in RuleLearner for nominal attributes
Fixed bug for (operator / parameter) pair parameter values for the parameter iteration and optimization operators
Fixed wrong name for continuous attributes in C45 loader
ConditionedExampleSet caused some problems if the base attributes for conditions were removed after the filtering
Fixed a bug in getNominalValue(Attribute) of Example which delivered the first nominal value instead of missing values
File filters do now accept lower and upper case extensions
Fixed wrong colors after sorting a column of the ANOVA matrix
Removed unnecessary statistics registration in nominal attributes consuming unused memory and runtime
Fixed rounding error in the stepwise parameter operators
Removed data representation type query during first startup since rounding errors are often too high
AbsoluteSampling produced sample with duplicates

What's New in RapidMiner Studio 4.1beta [2007/12/02]?

Enhancements

RapidMiner GPL is renamed to RapidMiner Free and is licensed under the General Public License version 3 (GPLv3) now
New operators:
- SingleMacroDefinition
- MissingValueReplenishmentView
- Perceptron
- SugroupDiscovery
- ExcelExampleSetWriter
- CSVExampleSetWriter
- several new data generators
New preprocessing models for discretization and nominal to binominal filter, these operators now create only a new view on the data as default instead of actually changing the data
ArffExampleSource and XrffExampleSource now support sampling
Improved Windows installation
New icons and look and feel for GPL version
Added graph visualization for association rules
Added new filter modes for association rule visualizations
The non-GPL version now natively supports Oracle, IBM DB2, and Microsoft SQL Server without the need of an additional driver installation
The availability check for JDBC database drivers was improved, the same applies for the corresponding dialogs
The database operators and wizards can now work with table and column identifiers containing spaces and other special characters
Improved performance of DecisionTree and RuleLearner for data sets containing numerical values
Improved encoding handling for input operators, configuration wizards, and attribute editor
New default encoding: 'SYSTEM' which uses the standard encoding of the underlying operating system
All performance criteria now support example weights for calculations if possible (and available)
New rule evaluation methods available for AssociationRuleGenerator
Diagonal of confusion matrix is now marked by a different color
All clustering schemes do now use MixedEuclideanDistance as default
The chart plotters (pie, bars) are now more robust for larger data sets
The chart plotters (pie, bars) now provide the possibility for the selection of an aggregation function type and use distinct values only
KMeans now provides a warning for data sets containing missing values
The sometimes slightly annoying dialog asking for saving the process can now be deactivated
Passwords are now encrypted in XML (also in files) ensuring that passwords cannot be read from process files
New Plotter: Distribution
Changed operator numbering in operator info dialog for inner operator conditions
The error messages and the error stack trace in the details frame can now be copied via Ctrl-C
Data files written by the ExampleSource configuration wizards are now compatible to the standard parameters
ExampleSource now uses quoted nominal values as default
New visualization for NaiveBayes models
Operator trees do now not longer change their expansion status after saving them or after process stops
Multiple paste operations are now possible after copy
Decision trees show now the size of leaf nodes through the height of the frequency bar
More evaluation measures added for association rules
ExampleSources now also allow the usage of no comment charaters
Increased the default size for the file chooser and the text dialogs
Text dialogs like the SQL editor do now keep linefeeds and tab information
Changed the default minimum support of FPGrowth to 0.95 and added an option to decrease the support until a minimum number of frequent item sets was found. The latter working mode is the default now.
KMeans cluster models now provide a parallel plotter visualization of the cluster centroids
New macro: %{v[OpName.ValueName]} which will be replaced by the current value of the specified value of the operator
Added cross-entropy as a new classification criterion
Ranges of discretized attributes now contain information about the numerical thresholds
Changed default criterion for RuleLearner from accuracy to information gain
Added default data management type to the initialization screen
Icons for all tabs (non-GPL version)
Latest Weka version (as of 30/11/2007)
Implementation Details:
- New init method also allowing the easy definition of additional operators
- ParameterSet now provides access to parameter values
- New views (example sets) in order to improve the integration into other products
- Changed signature of startCounting(ExampleSet) to startCounting(ExampleSet, boolean) in MeasuredPerformance (see above)
- All Models now have to return the transformed example set instead of changing the values by side-effect. This was necessary to allow the usage of views and view models

Bug fixes

Fixed wrong license texts
Removed the file weka.jar from the free version which was accidentally included in the last release. Weka is of course still part of the GPL version of RapidMiner
Fixed templates (SimplePerformance was renamed to Performance)
Fixed example visualization in cluster models (wrong examples were shown in some cases)
Wizard from Welcome Screen did not change into edit mode
Faulty wizard files were fixed
Faulty building block files were fixed
Fixed bug in the calculation of the confidence of association rules
Fixed bug if several manual feature construction were applied in a row (overwriting old generated columns)
Unknown values of nominal attributes were not correctly encoded in Arff files
Problem with example encoded multivariate series in the MultivariateSeries2WindowExamples operator
Fixed bug for ranking in TransformedRegression
Fixed bug in RapidMiner initialization for user defined operators.xml streams
Configuration Wizard of ExampleSource did not use correct encoding from process root operator
After deleting the contents of a password field it was still part of the process setup (empty string in XML)
Changed result set scrolling type to "sensitive" which is necessary for the Microsoft SQL Server 2005
Fixed bug in XrffExampleSetWriter which did not properly escape XML characters
Using Save for a ParameterSet result did not work
Fixed Weka related bugs in the online tutorial
Fixed a possible stack overflow error in the RepeatUntil meta chain
Fixed problem with Microsoft SQL Server 2005 with respect to the scrolling / updating behavior
ProcessLog got an error if the value "best_length" of a feature operator should be logged
Fixed error in the k-distance plot which calculated a wrong x-axis offset for certain settings
SparseFormatExampleSource did not trim the sparse array which caused higher memory usages
Removed data view icon for some of the plotters since an error in a third-party library caused problems after activation
RuleLearner did not use numerical attributes twice
Fixed error in attribute editor which has added empty data lines after re-opening the edit dialog

What's New in RapidMiner Studio 4.0 [2007/07/31]?

Enhancements

New operators:
- Performance (could be used in most cases instead of the now deprecated PerformanceEvaluator)
- ClassificationPerformance
- BinominalClassificationPerformance
- RegressionPerformance
- UserBasedPerformance
- SingleRuleWeighting
- MPCKMeans
Almost all process setups will now also correctly work if the nominal values of training and test data are not defined or are not defined in the same order
The somewhat big operator "PerformanceEvaluator" is now deprecated and was divided into several smaller operators which now fit the different learning task types.
Added compatibility checks for the example sets for prediction models between training and application data
Added a filter for the New Operator tab
Added learning for numerical attributes for rule learners
Renamed lowest verbosity level to "all"
Improved visualization of performance criteria
Added automatical ROC curve visualization for AUC criterion
Added averaged ROC curves
Added deviation plotter
Improved ExampleSetMerge
Improved rule learning on numerical data sets
Improved tree learning on numerical data sets
Added k-distance plot for similarity measures in the similarity visualizations
Changed AUC calculation to a more pessimistic calculation which better fits the ROC plots
Operator info is now available in context menu of operator list in new operator tab
Added example visualizations after clicking a node in the graph view of similarity visualizations
Improved the speed confidences are set for LibSVM models
Latest Weka version included (as of 30/07/07)
Implementation Details:
- Revised clustering operators and introduced improved abstract clustering
- The global logging can now be specified either by general properties or via the method LogService.initGlobalLogging(...)
- Attribute.getStatistics(...) is now deprecated, please use ExampleSet.getStatistics(Attribute, ...) instead
- Changed the log verbosity of the process informations at the beginning and the end of process executions
- Plugins can now define own building blocks in their resources directory (each bb file is described by a line in the file "buildingblocks.txt")
- Improved closing of streams in error cases

Bug fixes

Removed unnecessary parameters from RandomForest
Fixed attribute name bug (not case sensitive) causing errors in some preprocessing operators if features with the same name but different cases exists
Fixed bug in Anova and T-Test calculation (wrong degree of freedom)
Fixed bug during weight normalization which lead in many cases to a concurrent modification exception which was covered by a process change message
Removed possible bug in UPGMA-Clustering
Graph View of Cluster Models did not work
Added missing clone in discretization operator which might have caused problems in cases where the discretization was added into an iterating chain (like validation chains)
Streams are now not automatically closed during XML (de-) serialization
Rule learners did not produce greater equal conditions
Plotters now can handle missing values for plot columns
Mikro-averages of attribute weights were not correctly calculated
Fixed bug if a data set (.aml) is re-loaded containing confidence attributes
Added missing option for k in the k-distance plots (similarity visualizations)
Fixed notification error (double beeps) after a process was stopped in a breakpoint
Fixed a bug which made it impossible to save neural net models

What's New in RapidMiner Studio 4.0beta2 [2007/06/24]?

Enhancements

New operators:
- BatchXValidation
- BatchSlidingWindowValidation
- AttributeCopy
- ExampleSetTranspose
- AssociationRuleGenerator
- RelevanceTree
- CHAID
- Tree2RuleConverter
Removed operators:
- RegressionTree (may be re-added in later releases)
- Ripper (replaced by RuleLearner)
Renamed operators (old operator names are deprecated now):
- ExperimentEmbedder operator was renamed to ProcessEmbedder (see below)
- ExperimentLog operator was renamed to ProcessLog operator (see below)
API change: Renamed Experiment to Process (the old class Experiment is still available for compatibility reasons but deprecated)
API change: OperatorService.createOperator(Class) is now the preferred way for operator creation and does no longer need a cast (generics)
Added correct file encodings to all IO operators
Renamed log verbosity "minimum" to "all" and log verbosity "maximum" to "off"
Added meaningful default and range values for the parameters of the ParameterOptimization operators
Replaced Tip of the Day dialog by the tip in the Welcome screen
Changed all Weka parameters to non-expert parameters (available in beginners mode)
SVMWeighting now supports more than 2 classes
All weighting schemes now return normalized results
Completely revised tree and rule learners
Completely revised tree, cluster model, and similarity visualization
Latest release of LibSVM integrated (2.84)
Latest release of xstream integrated (1.2.2)
Latest release of Jung integrated (2.0alpha2)
Added table view for experiment log results
Added text views for learned tree models
Added text views for learner kernel models
Added text view for logistic regression model
Added Anova kernels for JMySVM and EvoSVM
Removed obsolete temp file service
CommandLineOperator now uses a higher log verbosity for the output of the command
Improved output of Naive Bayes models
Improved context menu for attribute editor
Example visualization now automatically added after IdTagging
Improved standard example visualization

Bug fixes

Added missing dialog if more than one special attribute with the same name was defined with the ExampleSource configuration wizard
Log view panel was not resizable
Special attributes were no longer special after AttributeSubsetPreprocessing on special attributes
LibSVM multi class issues fixes (no confidences)
Bugfix in the fast example set to sparse transformation causing problems in Weka learners (and maybe the LibSVM)
Dichotomization did not properly work
Parallel plotter did not properly work for special attributes
Fixed missing Id problem for top down clusterers
Fixed wrong nominal value writing for attribute editor
Column colors were not transferred if columns were moved in data views
The AttributeConstructionLoader did not properly created attributes for the identical function (no construction at all)
Normalization did not work properly work on nominal attributes
AttributeSubsetPreprocessing did not properly keep the old attributes
Replace operator (context menu) of operator chains added (2) to the inner operators even if the names were not used in the process setup
Spearman's Rho and Kendall's Tau now deliver 0 if not defined (e.g. for default model) instead of NaN
Fixed problem with delegate attribute unwrapping in some feature selection cases in combination with cross validation operators

What's New in RapidMiner Studio 4.0beta [2007/05/29]?

Enhancements

"YALE" was renamed to "RapidMiner"
New operators:
- DensityBasedOutlierDetection
- LOFOutlierDetection
- DistanceBasedOutlierDetection
- PCAWeighting
- SVMWeighting
- Relief
- InfoGainWeighting
- InfoGainRatioWeighting
- ChiSquaredWeighting
- SymmetricalUncertaintyWeighting
- PSOWeighting
- FPGrowth
- LinearRegression
- NaiveBayes
- NeuralNetLearner
- LogisticRegression
- DecisionStump
- DecisionTree
- ID3
- ID3Numerical
- RegressionTree
- RandomTree
- RandomForest
- Prism
- Ripper
- OneR
- NearestNeighbors
- AdditiveRegression
- Stacking
- Vote
- MetaCost
- CostBasedThresholdLearner
- Binary2MultiClassLearner
- SVDReduction (from clustering plugin)
- KMedoids (from clustering plugin)
- KMeans (from clustering plugin)
- KernelKMeans (from clustering plugin)
- SupportVectorClustering (from clustering plugin)
- AggomerativeClustering (from clustering plugin)
- AgglomerativeFlatClustering (from clustering plugin)
- UPGMAClustering (from clustering plugin)
- TopDownRandomClustering (from clustering plugin)
- TopDownClustering (from clustering plugin)
- DBScanClustering (from clustering plugin)
- RandomFlatClustering (from clustering plugin)
- ExampleSet2ClusterModel (from clustering plugin)
- FlattenClusterModel (from clustering plugin)
- ClusterModel2ExampleSet (from clustering plugin)
- ExampleSet2Similarity (from clustering plugin)
- ClusterModel2Similarity (from clustering plugin)
- SimilarityComparator (from clustering plugin)
- Bootstrapping
- WeightedBootstrapping
- BootstrappingValidation
- WeightedBootstrappingValidation
- MissingValueImputation
- ExampleSetMerge
- ExampleSetCartesian
- XrffExampleSource
- XrffExampleSetWriter
- DatabaseExampleSetWriter
- IOSelector
- LinearCombination
- AttributeSubsetPreprocessing
- ModelVisualizer
- ModelUpdater
- LabelTrend2Classification
- Sorting
- AddNominalValue
- ExampleRangeFilter
- Numeric2Polynominal
- PartialExampleSetLearner
- SlidingWindowValidation
- GroupBy
- GroupedANOVA
- ANOVAMatrix
- Aggregation
Renamed operators:
- AttributeSetWriter /-Loader into AttributeConstructionsWriter / -Loader
- Renamed all operators starting with Y- into the names without this prefix
- Added W- to all Weka operators, old experiments can be loaded though
- AverageLearner (was deprecated) now revised and renamed into AttributeBasedVote
Deprecated operators:
- Numeric2Binary (use Numeric2Binominal instead)
API CHANGES: please refer to http://sourceforge.net/forum/forum.php?thread_id=1698583&forum_id=390413 and http://sourceforge.net/forum/forum.php?thread_id=1730986&forum_id=390413 for details
The clustering plugin is now part of the YALE core
Drag'n'Drop for operator trees
New Icons (please refer to the license files for informations about the icons)
New Look and Feel (please refer to the license files for informations about the look and feel)
Improved general speed, most YALE runs now use less 60% of the runtime needed before
Added page setup and print preview dialogs
Improved printing
New file chooser and added favorites to it (in the left part of the dialog)
Tool tips can now be painted over multiple lines allowing more informations about the operators and parameters
New view menu
Result History viewer showing textual descriptions of all experiment results in the session so far; allows also the calculations of Anova for different results
Parameter values are now always saved at focus losses or during resizing operations
All tables (viewers) can be sorted by clicking on the table headers (at least all tables where this makes sense)
Speed up of plotter initialization which was the reason for the long times needed for displaying data sets
GUI is now able to immediately stop a running experiment
Improved capability to use YALE as library which makes necessary that the Ant target "copy-resources" must be performed before starts (see implementation details below)
All file formats were changed (sorry!) and are now based on XML
Grid based parameter optimization / iteration operators now support another format for parameter definition: [start;end;step]
XVPrediction can now also handle confidences for problems with more than two classes
Improved automatic closing of files and temp file deletion after major experiment changes
Added graph view for BayesianNet models
Added textual and graphical view modes for models which are capable of both, e.g. decision trees and Bayesian Nets
Added possibility to invert the result of an ExampleFilter
Added possibility to connect several attribute value conditions for an ExampleFilter
Added new performance criteria: Spearman's rho and Kendall's tau
Added option for AttributeWeightsApplier allowing for changing just the data view instead of the actual data table
The data representation type "sparse_array" was renamed to "double_sparse_array"
Added new data representation types "short_array", "short_sparse_array", and "boolean_sparse_array" allowing for more efficient data handling
The univariate Series2WindowExamples operator now again supports sets of examples if the time series is encoded as attributes
The (meta) data tables now support text selection allowing for copy and paste into other applications.
Performance Vector results can now be selected and copied
Example Set views can now be selected and copied
All displayed results now provide a "Save..." button
Use JTable for confusion matrices
Use JTable for correlation matrix (DataTable)
Added HSQLDB JDBC driver
Full platform compatible line feeds
ResultWriter can now also write results into single files instead of the global result file defined in experiment
Improved LearningCurveOperator now using better dynamically growing training sets and a fixed test set
Allow the definition of number of digits for the ExampleSetWriter format
Added log scale to usual scatter plotter
Added several chart plots (new bars 2D and 3D, pie charts 2D and 3D, bubble plotter)
ExampleSetWriter now support zipped data files
Added initial support for updatable models, currently only the updatable models from Weka are supported, other will follow
Added another replenishment type 'zero' for the MissingValueReplenishment operator
Added source definition for all IO objects, i.e. the results do now show which operator was the creator (only shown in result view if more than one result of the same type was created)
Allow complete data scan for value type guessing now in ExampleSource configuration wizard
Added weighted performance measures for weighted means of the per-class recalls and precisions
Model writing and loading works for zipped files (gz)
Changed attribute statistics handling and displaying
Implementation Details:
- The Ant target "copy-resources" must be performed before starts are possible
- new initialization methods available Yale.init(...) allowing the specification which parts of YALE should be initialized
- Revised database access handling. Statements are now always closed
- changed name of method getVisualisationComponent into getVisualizationComponent
- no longer necessary to register operators in an experiment (done automatically during adding)
- no longer necessary to implement the abstract OperatorChain method getNumberOfSteps()
- Completely revised the example set / attribute / example table data core of YALE which leads to much better implementations of the core classes and more possibilities for extensions. Please refer to the YALE forum for an in-depth description of the changes
- attribute statistics are now handled in a different way, all statistics are queries now with a statistics name string
- most actions are now part of own packages
- replaced shuffled partition building by a version reflecting the way Java shuffles collections
- improved efficiency of WekaInstancesAdaptor by finding YALE weight attribute only once instead anew for each example
- removed static field in class Yale for the current experiment
- The class Main was renamed into YaleCommandLine
- Added possibility to define default values for attributes
- BinaryAttribute was renamed to BinominalAttribute
- Newest versions of all libraries
- PropertyValueCellEditor can now be registered in PropertyTable allowing plugins to provide new editors for new parameter types
- The same applies for PropertyKeyCellEditor
- Averagable: compareTo now implemented in subclasses
- Averagable: cloneAveragable(Averagable) is now deprecated, please use copy constructors
- Added ParameterTypeText for longer text inputs
- XML serialization now uses object streams

Bug fixes

IOObjectWriter / - Reader did not work for Windows executable due to library typo
LibSVM regression models could not be saved
Bugfix in PermutationOperator which uses all attributes of the ExampleTable instead of only using those currently selected in the ExampleSet
Exception in list property editors after one row was deleted
Use default GUI properties in cases where loading of properties did not work
Colons in attribute names were not supported by the AttributeWeightsLoader / -Writer. Replacement by XML format fixes this problem
Percent (%) in parameter strings were replaced by the method expandString(String) which was not desired The new format for short commands is %{a} now
new CSV operator which better supports quoting and column separators
fixed problem for category parameters if the check value was a string of the index number
fixed bug for number of components = -1 in GHA models
fixed error for regular attributes with special names when written into sparse format
Fixed bug for RVM model writing
Fixed bug for data transformation into the association rule learning format of Weka
Removed error if a parameter for a non-existing special attribute was in the special format of the ExampleSetWriter

What's New in Yale 3.4 [2006/10/03]?

Enhancements

New operators:
- MultivariateSeries2WindowExamples
- EvolutionaryParameterOptimization
- IOObjectReader
- IOObjectWriter
- AGA
- YAGGA2
- SPSSExampleSource
- ExcelExampleSource
- LiftChart
- ROCChart
- MacroDefinition (see below)
Removed operators:
- NelderMeadParameterOptimization
- PatternSearchParameterOptimization
Deprecated operators:
- NaiveBayes, SimpleNaiveBayes, and NaiveBayesUpdateable (replaced by Y-NaiveBayes)
- LibSVM (use LibSVMLearner instead)
Changed parameters:
- DatabaseExampleSource: replaced "driver", "urlprefix", and "databasename" by "database_url" (can be easily defined with help of the new configuration wizard, see below)
ExampleSource now support zipped data files
Added new data representations backed up by non-double arrays which will need less memory in case where no double precision is needed
All IO objects also providing a loading operator are now directly be saveable from the result tab
SimpleExampleSource is now able to automatically guess the value types
The Attribute Editor has now some additional features:
- Context menu on row: "Use row as attribute names" which is nice for example for CSV files
- Table Menu: "Guess all value types" which re-guesses all value types which might be practical after declaring one of the rows as names
- Reminder during closing if the data file and attribute description file were not saved before
New configuration wizards for more sophisticated input operators like ExampleSource or DatabaseExampleSource (available via the "Start configuration wizard..." button of these operators)
New item in Tools menu "Show database drivers" which lists all available JDBC drivers
JDBC drivers can now be defined via adding them to the CLASSPATH or by copying them into lib/jdbc
Free JDBC drivers for MySQL, PostgreSQL, Microsoft SQL Server, and Sybase included
The file resources/jdbc_properties.xml can be used to define driver dependent settings like URL prefixes etc.
Improved the directly working on database mode (DatabaseES)
Improved data saving for ExampleSets
Added macro definitions. Macros can be defined with the operator MacroDefinition and used with %{my_macro}. Several predefined macros exist like %{experiment_name}, %{experiment_file}, and %{experiment_path}
The minimum and maximum colors for plotters can now be specified in the properties dialog
Improved error messages for Weka learners and attribute evaluators
Density and SOM plotters now support example visualization
Density and SOM plotters now use buffered images (more efficient)
Allowing both attribute and example representations for Series 2 Window Examples operators
Improved logging for both the message viewer and into files
Improved EvoSVM
Added several non-psd kernels for JMySVM and LibSVM as well as support for returning the original optimization fitness
New operator dialog shows now deprecation information
Generating feature operator do now provide a parameter for the total maximal number of attributes
PerformanceEvaluator: improved handling of input performances
Robustified plotters in cases where the given data contain missing values
An environment variable YALE_OPERATORS_ADDITIONAL will now be regarded and set by the start scripts (for user written operators)
IOConsume operator now allows deletion type "delete_all_but"
Implementation Details:
- the method getInput(Class) of Operator / IOContainer do now deliver the correctly casted instance (no casts necessary any longer)
- checkIO() of Experiment is now also able to check for given input objects
- Removed parameter number editors based on JSpinner because of rounding and transformation problems (see below)
- Installer now uninstalls old versions
- Windows launcher now allows external classpath settings
- ExampleSet.getSize() is deprecated now, use size() instead
- ExampleSet.getExampleReader() is deprecated now, use iterator() instead
- Deprecation infos are now defined in operator in operator description files

Bug fixes

Fixed bug in Windows start scripts which did not allow for space in filenames and paths
Attribute weighting schemes do now provide correct error messages for missing label
IOContainer reading and writing did not work
Description of the column separators did not match the actual implementation of ExampleSource and SimpleExampleSource
Export did not work for unnamed experiments
Numerical parameter fields rounded to zero for small values (only in YALE 3.3)
Better error message in case of non-decomposable data sets in RVMLearners
SOM is now not longer applicable to data sets containing missing values
In version 3.3 there was a problem introduced if YALE should be started via "java -jar yale.jar" which did no longer work without defining the property yale.home. Should be fixed now
Additional performance criteria were not stored in XML
Added missing close statements for database handling, prevent errors if already closed
Fixed bug during statistics calculation if a column only contains missing values
Exception was thrown by feature binary generators if the generated value was NaN or infinite
Fixed LibSVM model application bug for high class skews

What's New in Yale 3.3 [2006/08/04]?

Enhancements

New operators:
- Y-AdaBoost
- Y-Bagging
- MultiCriterionDecisionStumps
- RVMLearner
- Gaussian Process Learner
- ExperimentEmbedder
- OperatorEnabler
- ExampleSetJoin
- Numeric2Binary
- Permutation
Removed operators:
- JViToPlotter (added most important functionality directly in YALE, other will follow)
Deprecated operators:
- RenameAttribute (replaced by ChangeAttributeType and ChangeAttributeName)
YALE is now available as exe-file for Windows systems
YALE now provides a Windows installer
Newest Weka version (CVS from 2006/08/04)
YALE now provides actual ensemble learners for more than one inner learner
Search and Replace for XML tab
Save as "building block" in order to ease future experiment setup
All validation operators are now able to optionally produce the model of the complete data set
Changes log verbosity of command line operator from MINIMUM to MAXIMUM
Overworked all parameter optimization operators
Double click on operator in tree view now toggle breakpoint status
Users can specify a search string and capabilities in the new operator dialog now
New operator dialog is not longer modal and provides an "add" button. This allows for multiple operator insertions without recreating the dialog (and its settings)
New operator tree properties allowing to filter disabled operators or expansion of the complete tree
Debug mode which adds a breakpoint after each operator
Disabled operators are now more clearly marked
Default file extension for all IO files now
String property values will no longer be deleted when editing is started, the value will be used after losing the focus
Added support for automatic parameter optimization of nominal parameters
Exceptions for feature filter (skip all ... but not ...)
(Meta) data views are now backed up by tables which are much faster than old HTML views
Added new (high-dimensional) plotters and jitter function for plotting, overworked old ones
More intelligent availability checks for plotters and automatic downsampling if number of data points is too high
Added support for plotting and logging nominal values and parameters
Data set plotters can now also consider feature weights
Range of integer parameters now use infinity symbol
Total number of parameter combinations is now logged (parameter optimization operators)
(Almost) all randomized operators can now use own local random seeds
The current memory usage can now be logged as a value of the experiment operator (root)
All internal kernel based methods now provide the same data and plot view component
Faster conversion to Weka instances for sparse examples
Improves parameter guessing for Weka operators
Improved tutorial and added section about data creation from Java applications
Implementation Details:
- new package structure for feature operators
- new package structure for operators
- new package structure for GUI
- new package structure for preprocessing
- used now JUnit 4.1 for testing
- code clean-up (no Eclipse-warnings)
- ExampleTable is an interface now
- copy-resources is now not longer necessary, plugins have to place their resources in edu/udo/cs/yale/resources
- Statistics now renamed in DataTable (in new package called datatable)
- createName(...) of AttributeFactory now handles own counters for each name
- prepareRun() is now autumatically invoked and must not be invoked any longer before the run of an experiment

Bug fixes

Validation check did not work in all cases
escaped XML characters for attribute description file writing
JMySVM, EvoSVM, MyKLR, and MultiModel cannot be read from files (fixed)
Result file was not resolved against experiment location
Tooltips for string parameters did not always have been shown
Streams for result output were not closed
Temporary directories are now deleted at the end of experiment if delete_temp_files is set to directly (default)
Resize bug after changing the name of an operator in tree view
Fixed problems if two ExampleSetGenerators with the same target function were used in the same experiment
Removed unnecessary check during loading of sparse examples
not all operators with inner loops did invoke inApplyLoop()
Bugfix for IteratingOperatorChain if timeout was -1
Dynamic parameter %t did not work for filenames under Windows
At the end of a a Pattern param opt run the result was not properly created
Windows start scripts did not work if spaces were part of the paths

What's New in Yale 3.2 [2006/04/14]?

Enhancements

YALE requires now JAVA 1.5 or higher
New operators:
- ThresholdCreator
- AttributeWeightsCreator
- WeightGuidedFeatureSelection
- CFSFeatureSetEvaluator
- ConsistencyFeatureSetEvaluator
- AttributeCounter
- WeightedPerformanceCreator
- CompleteFeatureGeneration
- Series2WindowExamples
- TransformedRegression
- SimpleExampleSource
- PCA (new version)
- FastICA
- GHA
- ComponentWeights
- HyperplaneProjection
- SplitSVMModel
- RemoveCorrelatedFeatures
- WeightOptimization
- TFIDFFilter
- MinimalEntropyPartitioning
- EvoSVM
- PsoSVM
- EvolutionaryFeatureAggregation
- PlattScaling
- SplitChain
All operator chains now define conditions which must be fulfilled by inner operators.
New model concept: models which are used for prediction purposes (prediction models) can now be combined with models for preprocessing, e.g. a z-transformation model. This allows for fairer evaluations without using information about the training data which might have been collected during preprocessing.
Preprocessing models, e.g. a normalization model can be applied with the same parameters on the test set
Improved Operator Info Screen (F1) which now also shows conditions for inner operators. This eases experiment design for new users
PerformanceEvaluator adds new criteria to input performance vectors now
Evolutionary feature operators supports multiobjective optimization now
Feature operators now allow an arbitrary number of inner operators
Added new VectorGraphics package (freehep) version 1.2.2
New Weka version 3.5.2 (current CVS version of Weka)
The attribute type "string" of Weka is now also supported
Renamed two parameters of SparseFormatExampleSource: "attributes" is now called "attribute_description_file", "attribute_file" is now called "data_file"
AUC as a parameter of PerformanceEvaluator instead of ThresholdFinder
ExampleSetWriter now resolves the relative path of the data file
Tutorial now reflects the development since Yale 3.0
More example filter types for ExampleFilter operator
Added filters for Data View
Added parameter sample_ratio to example source operators
Speed up of experiments by preventing IO logging if not necessary
GUI does not hang any longer after stopping an experiment and a message is shown that the current operator will be finalized
all regression performance criteria can now handle nominal labels regarding the confidence for the desired true class
relative_absolute_error now renamed to normalized_absolute_error
Implementation Details:
- YALE is now completely type safe, i.e. no warnings occur by compiling with Xlint:unchecked
- Population operators now work on objects of class Individual instead of directly working on AttributeWeightedExampleSets
- Added method getSpecialAttribute(String) to ExampleSet interface. This allows a faster retrieval of special attributes
- UndefinedParameterError will be thrown if an operator asks for the value of a non-optional parameter with no default value and no user defined value
- The abstract method checkIO of OperatorChain was replaced by getInnerOperatorCondition()
- Removed deprecated method initApply()
- added new check method performAdditionalChecks()
- reworked package structure for feature operators
- improved memory management for BayesianBoosting
- Replaced method getValue() of averagables (like performance criteria) by getMikroAverage(). Operators should use getAverage() which returns the makro average if possible and the mikro average otherwise

Bug fixes

Update of Data View did not properly work
ThresholdApplier did not properly overwrite the crisp predictions
error in root mean squared error calculation for data sets with different sizes
wrong plotting of threshold values in ROC curves
new operator was not properly selected after replacing an operator via the context menu. Therefore the old parameters were not removed in the GUI
LibSVM used Math.random() and was therefore not deterministic
Replace " by " in XML parameter descriptions
In some cases the variance of a performance criteria became negative. Fixed now.
Bug in RemoveUselessAttributes since attribute stats were not longer calculated

What's New in Yale 3.1 [2005/11/22]?

Enhancements

New operators:
- IOMultiplier
- PerformanceLoader
- T-Test
- Anova
- DataStatistics (usefull only for command line, see implementation details)
Removed operators:
- old parameter based Weka operators (were deprecated)
- MultipleLabelLearner and MultipleLabelPerformanceEvaluator (please use MultipleLabelIterator instead)
Drastically reduced runtime (see implementation details)
Improved attribute editor (added views on data, load series data, icons, nicer error messages)
Binary classification performance criteria mark the positive class
Predict confidences for both binominal and polynominal classifications tasks
Confidences are now automatically set after applying a classification model for all learners, the parameter use_distribution is therefore not longer supported
ExampleSetWriter can also write prediction confidences now. The dense data format and the special format was slightly adapted to reflect this change
Attribute ranges can also be specified in meta data view
Splitted default noise of NoiseOperator in label_noise and default_attribute_noise
New Weka version 3.4.6 integrated
Nicer error messages for many data reading problems
IteratingPerformanceAverage can now handle all types of averagable vectors and also more than one inner performance vectors
The Yale color plotter shows now a legend with a mapping of the colors to the values for these colors. This also applies for the scatter plot based on the color plotter
Sanity checks before learning if the used learner can learn from the given data set (using the predefined learner capabilities)
Uses (p) for initialization probability of feature selection algorithms instead of (1-p)
The counter for the automatic creation of attribute names is resetted before an experiment will be started
A new breakpoint type for breakpoints in operator apply loops
CSVExampleSource now uses the first line for attribute names
Implementation Details:
- The position of the Weka Jar file can now be defined via an environment variable WEKA_JAR
- Removed the construction of attribute weights from example if this is not necessary (this drastically decreases the desired time for example constructions)
- Improved the calculation of example set statistics
- Removed the recalculation of attribute statistics after data changes. Statistics are now only calculated if they are needed (including display purposes in the graphical user interface)
- Attribute is an interface now, different classes of attributes introduced. As a consequence attributes, can only be constructed with help of the AttributeFactory class
- Added a FastExample2SparseTransform class which provides methods for fast sparse representation creation, especially for SparseArrayDataRows
- Removed check if an attribute is already part of an example set before it is added. This also improves runtime
- FilteredExampleSet is now called ConditionedExampleSet
- Failing during operator initialization (during start up) does not prevent loading the following operators any longer

Bug fixes

Bugs in SparseArrayDataRow
Copy of IOContainer was shallow. This bug might have lead to a wrong parameter optimization behavior for complex feature selection experiments
Implemented missing method in ConditionedExampleSet
Fixed size bug in ConditionedExampleSet
Key strokes for cut, copy, and paste did not work
Syntax highlighting for description tag did not work
Opening a new experiment kills experiment thread now
Saving of settings did not always work
Changing from XML view to other views caused empty status bar
Error in change detection after modifying the experiment in XML view
Range update in data view did not work for two changes at the same time

What's New in Yale 3.0 [2005/07/11]?

Enhancements

New operators:
- FeatureNameFilter (using regular expressions)
- FeatureValueTypeFilter (replaces FeatureTypeFilter)
- FeatureBlockTypeFilter
- operators for all Weka tasks instead of specifying the Weka operator with a parameter (see below)
- MultipleLabelLearning
- MultipleLabelPerformanceEvaluator
- MultipleLabelIterator
- AverageBuilder
- RenameAttribute (renaming and type changing)
- Data generators for testing purposes
- MinMaxWrapper for linear combinations of average and minimum values (which might lead to more stable optimizations)
- CorrelationMatrix (which can also produce feature weights)
- SimpleBinDiscretization
- SimpleFrequencyDiscretization
- Single2Series
- PerformanceWriter (in addition to the ResultWriter)
- ParameterCloner
- ParameterSetWriter
- GridParameterOptimization (replaces old ParameterOpt.)
- NelderMeadParameterOptimization
- PatternParameterOptimization
- ParameterIteration (which simply iterates through given parameter combinations instead of optimize them)
- IOConsumer (consumes unused outputs)
- ARFFWriter
- WrapperXValidation (replaces old MethodXValidation)
- SimpleWrapperValidation (replaces old SimpleMethodValidation)
- NominalExampleSetGenerator
- JViToPlotter (additional to build in plotters)
Removed operators:
- The external operators for the C versions of MySVM, SVMLight, and C45 are not longer part of the Yale core. Please use the Java implementations JMySVM, LibSVM, and J48
- LegalNumberExampleFilter was replaced by the operator ExampleFilter. This operator can handle both missing values and user defined value conditions
- MethodXValidation was replaced by WrapperXValidation. The old operator was not able to handle mere feature weighting methods additional to selection
- ParameterOptimization (see above). In addition, the parameter parameter_file was removed from all parameter optimization operators
- SimpleMethodValidation (see above)
- FeatureTypeFilter was replaced by an improved FeatureValueTypeFilter
- BatchedValidationChain
Improved data management and statistics. Yale can handle larger data sets now
Undo and Redo function
Several new performance criteria including MinMaxCriterion for weighted linear combinations of the minimum and the average of arbitrary criteria
Some operators are deprecated now. Deprecated operators provide messages during application and validation and should not longer be used
New plotter concept, introducing Yale color plotter, GnuPlotPlotter for 3D plots, scatter plots, and distribution plotter (histograms). Plots are only automatically created for smaller data sets (settings)
In addition to the new plotter concept the operator JViToPlotter can be used to plot some of the IOObjects of Yale. The current version at least supports ExampleSet and some numerical models
Syntax highlighting in message viewer and XML editor, colors can be specified in the preferences dialog
New Weka version 3.4.5 integrated
New LibSVM version 2.8 integrated
Generic operator classes and operator sub types. This allows the building of generic operators with one class for several operators. This feature is used for the new Weka operator style where each learning scheme matches one Yale operator (and not a parameter of an operator)
Added Learner Capabilities. Each learning scheme can now define which type of data set is supported by the learner
Added stratified sampling for cross validation on data with a categorical label. This ensures that the subsets provide the same class distribution than the whole data set
Added several additional selection and crossover schemes for evolutionary feature operators.
Learners and performance evaluators can now deliver the input example set as output if this is desired. This also applies for models and ModelApplier.
New structure of settings dialog
(Optional) Tip of the Day at startup
Automatical update check during start-up (once in a month, no personal data is transmitted or collected).
Command line version waits at breakpoints and can be resumed by pressing enter
Only a user defined amount of lines will be logged, the default is 1000. This value can be changed in the settings dialog
Since massive logging may slow down experiments the default log verbosity for new experiments is "init"
Removed some verbosity levels which were not frequently used
Plugins can also provide a GenericOperatorFactory in their operator description file which can be used to register additional generic operators
Improved operator group structure in GUI and package structure
Improved Javadoc documentation, at least all classes should have a class comment
Learners cannot write the model directly into a file any longer. Please use the operator ModelWriter for this purpose.
Implementation details:
- ATTENTION: Since operators should know their own operator description the usage of the empty operator constructor is not longer allowed. Operators must be created with OperatorService.createOperator(String name) The usage of empty operator constructors is not longer allowed for operator creation!
- Using Arff loader from Weka instead of KDB package
- Changed the method name getIdAttribute() to getId() in ExampleSet, some methods from Example were removed
- Added a copy method to Parameters
- It is now possible to query examples by their id
- It is also possible to query examples by their index. This is only recommended for memory based example tables and should not be used for iteration purposes. Each operator which must iterate through complete example sets should use ExampleReaders. However, this change allows Yale to construct Weka instances on the fly which drastically decreases memory usage
- Operators can now define the default behavior for input consumption and a parameter will be automatically defined and queried. This allows that some operators (like validation chains or performance evaluators) can pass their input (the example set for example) to the following operators
- Added two helper methods getDeliveredOutputClasses() and getAllOutputClasses(Class[] innerOutput). One of these methods should be used to return the delivered output of an operator chain at the end of checkIO(). These methods reflect the consumation behaviour changes. Please refer to the Yale tutorial for further informations.
- The implementation of the simple feature selection operators was improved. The memory usage is reduced especially in case of forward selection
- SparseArrayDataRows need less memory than SparseMapDataRows with the same runtime. This datamanagement type should be used if data is sparser than 50%
- Using sparse array data rows after Nominal2Binary filtering

Bug fixes

bug in unix start scripts (plugins were not properly loaded)
variance adaption in feature weighting
wrong conversion from Weka instances to Yale example sets for data sets with more attributes than examples
Bug in average handling of validation operators mixed up weights and performance values for some feature operation experiments
strange plotting of some example sets
validation of experiments containing disabled operators
fixed bug in database handling which prevents feature selection to work correctly on example sets based on databases (csv and dBase too)

What's New in Yale 2.4.1 [2004/10/08]?

Enhancements

New operators:
- RandomOptimization
New Weka version 3.4.3 integrated
The Unix start scripts guess the location for YALE_HOME depending on the location of the script

Bug fixes

The performance which was delivered by validation chains (only for plotting purposes) was not the average but the last performance. This error was the reason for a wrong plot in the ParameterOptimization sample experiment

What's New in Yale 2.4 [2004/09/20]?

Enhancements

New operators:
- LearningCurveOperator,
- StandardDeviationWeighting
- PrincipalComponents,
- WekaAttributeWeighting
- C45ExampleSource
- Obfuscator,
- Deobfuscator
- CorpusBasedWeighting
Removed operators: UPGMAClusterer and WekaClusterer are now part of the Clustering plugin
Changed operators: the former implementation of DecisionTreeLearner was removed since it was not able to produce pruned decision trees. The internal representation of Weka's J48 learner which was formerly known as Y45Learner is now named DecisionTreeLearner.
Splitting of KDBExampleSource operator in four operators which individually load ARFF, csv, bibtex, and dBase files.
The parameter "mean_variance_scaling" of the normalization operator is no longer of type category but of type boolean.
The parameter $v[name] of the special format of ExampleSetWriter can now be used for both regular and special attributes
accuracy and classification error are now calculated for both binary and multiclass problems. Additionally the confusion matrix is displayed.
ThresholdFinder can deliver AUC (area under the ROC curve). The maximum number of ROC-points which are plotted is limited to 200.
All results are presented with the same number of digits
Forward selection (FeatureSelectionOperator) initially checks if the used attribute are useless, i.e. all values are equal, before it creates a new example set based on this attribute.
Validation chains which split example sets recalculate the attribute statistics. Therefore for each iteration one data scan is performed. These additional costs are paid to clearify the values and eases the usage of inner operators which make use of the statistics
Implementation details:
- recalculation of attribute statistics can be done directly with a method from example set now instead of the example table
- The method initApply() of operator is now deprecated
- The method getSpecialAttribute(String) of ExampleSet was removed. Use getAttribute(String) for both regular and special attributes.

Bug fixes

data writing of the experiment log operator at the end of the experiment
statistics plot is removed at the beginning of a new experiment
Y45Learner (now named DecisionTreeLearner) did not allow to create unpruned trees
newline at the end of data files can now be omitted

What's New in Yale 2.3.3 [2004/08/20]

Enhancements

New operators:
- IteratingOperatorChain
Some new target functions for the ExampleSetGenerator
With %b the apply count value plus 1 can be asked in a parameter string (%b% will be resolved to %a + 1)
Bayesian Boosting now supports internal bootstrapping and provides the performance values to plot them with the experiment log operator
Weka models are now displayed in the message viewer and log files
Allow environment variable definition of the maximal used memory in Windows start scripts (like the unix scripts)
Some tutorial additions

Bug fixes

Exception in toString() of tree
wrong command line construction for C45Learner
bug in status bar which increases CPU usage (low priority) and does not show the correct operator
removal of nominal attributes in feature selection experiments

What's New in Yale 2.3.2 [2004/07/12]?

Enhancements

New operators:
- ExampleSetGenerator
Weighted mutation can be bounded between 0 and 1.
Scaling of the ROC curve plotted by the threshold finding operator.

Bug fixes

Internal change of representation for nominal attribute values. This guarantees the same order for nominal values when writing a attribute description file and reloading it.

What's New in Yale 2.3.1 [2004/07/08]?

Enhancements

New operators:
- Sampling
- BayesianBoosting
- ThresholdFinder
- ThresholdApplier
- ExampleVisualizer
Examples with Id can now be displayed from the plotter by double clicking the example. Therefore a ExampleVisualization operator must have been added.
Pressing the delete key removes the selected operator from the operator tree

Bug fixes

Settings dialog displays correct default values at startup.

What's New in Yale 2.3 [2004/06/22]?

Enhancements

New operators:
- AttributeValueMapping
- AverageLearner
- LearnerFeatureGeneration (to create attributes from the predictions of different learning schemes)
- RemoveUselessAttributes
Removed operators:
- ExampleSetInfo (use RemoveUselessAttributes instead)
- ModelContainerLearner (use LearnerFeatureGeneration)
- Concept Drift operators (in plugin now)
New online Tutorial available in help menu
Zooming functionality for all 2D plotters. Simply drag a rectangle to zoom into the selected region. Right clicking sets the range to maximum size.
Added user descriptions (comments) which can be edited in the operator info screen (F1). The description of the root operator is shown after loading an experiment. This can be set disabled in the settings dialog.
Expert and Beginner modes added. In expert mode all parameters are shown. In the beginner mode only important parameters.
Save as Template added. Experiments which were saved as template can be used by the wizard.
Using the LearnerFeatureGeneration produces a new example set containing the model predictions as attributes. Another learning scheme can be used to learn from this values a meta model. Alternatively the new AverageLearner can simply calculate the average of the predictions which is especially useful in a selection or weighting wrapper.
Implementation details:
- new packages in operator and learner packages

Bug fixes

FixedSplitValidationChain delivered not the defined absolute number of examples
Problems with classification tasks and Weka learners due to Weka's new internal representation.

What's New in Yale 2.2 [2004/06/01]?

Enhancements

New operators:
- AttributeSetLoader (instead of FeatureGenerationOperator)
- ModelWriter
- Y45
- WekaMetaLearner
- ModelContainerLearner
- NoiseOperator
- FourierTransform
- Java versions of MySVM and MyKLR
AttributeSetWriter uses new format to allow the weighting of attributes after loading and constructing them:
```
    name::construction_description
```
Operators can now be disabled
Weighting vector of JMySVM now delivered for linear kernels. JMySVM can also deliver xi alpha estimation of performance now
Interface Learner added, former learner super class is now abstract
Weka independent internal implementation of J48 added for own adaptions
Weka meta learning schemes can be designed in two ways: With the known WekaLearner operator and by specifying parameters and, now, by specifying them as operator chains. This allows the same representation for all Yale meta learning schemes with internal learning operators as children
Meta learner schemes can be used to create new attributes from the predictions of learned models
new system for objects which can be averaged like performance criteria or weights
example sets are displayed in table view or plot view, the same applies for models of JMySVM learners

Bug fixes

Exception in unbalanced crossover
unused IO objects will not longer be doubled by the usage of simple operator chains

What's New in Yale 2.1.1 [2004/04/16]?

Weka version 3.4.1 included. Since many of the learners are now part of a new package, it might be necessary to adapt the weka class names in your experimentfiles.
YaleIdMapping included. May be part of example sets in future releases.
Breakpoints are now saved.

What's New in Yale 2.1 [2003/12/17]?

New operators:
- IdTagging
- InfiniteValueReplenishment
- InteractiveFeatureWeighting
- AttributeWeightsWriter
- AttributeWeightsLoader
- AttributeWeightsApplier for different weight functions
- Attribute2RealValues
- AttributeWeightSelection
Support for Word Vector Tool, Value Series Preprocessing, and Clustering plugin
The definition of a label attribute in cases where the data contains no label but should get a predicted one is no longer necessary
attribute selection is now seen as attribute weighting which allows more flexible operators. Feature operators like forward selection, genetic algorithms and the weighting operators can now deliver an example set with the selection / weighting already applied or the original example set (optional). Therefore all feature operators delivers the new IO object "AttributeWeights", not only the weighting ones. A weight of 0 means, that the attribute should be deselected
more than one additional operator description file can be specified with the -Dyale.operators.additional option by using the system dependant path separator (e.g. ":" on Unix systems)
Settings dialog

Bug fixes

cut and paste bug fixed
sometimes data columns and headers in attribute editor did not match. Fixed.

What's New in Yale 2.0.3 [2003/12/17]?

Added parameter additional_performance_criteria to PerformanceEvaluator for specifying user-defined performance criteria

What's New in Yale 2.0.2 [2003/11/20]?

Enhancements

Error estimation for MultiClassLearnerByRegression

Bug fixes

Attribute editor combo box did not respond to attribute type changes

What's New in Yale 2.0.1 [2003/10/22]?

Enhancements

New operators:
- MultiClassLearnerByRegression
%-expansion in parameter values:
- %a replaced by number of times, the operator was applied
- %t replaced by current system time
- %n replaced by name of operator
- %c replaced by class of operator
"Replace operator" context menu added
Replaced kxml by Java XML parsers
Removed DirectedGeneratingGeneticAlgorithm (DGGA)

Bug fixes

GUI used to hang when stopping experiment at breakpoint

What's New in Yale 2.0 [2003/08/28]?

New operators:
- DefaultLearner
- WekaAssociationLearner
- QuadraticParameterOptimization
- GNUPlotOperator
- ConceptDriftAdaptor
- ForwardWeighting
- EvolutionaryWeighting
- UPGMA (tree clusterer)
- BatchedValidationChain
- ExampleSetInformation
Added attribute weighting
Added plugin support.
SVMLearner does not automatically remove NaN examples. (This feature was actually never documented). Use ExampleFilter to remove NaNs instead.
Added gnuplot support for GUI; added GNUPlotOperator
Operator 'ConceptDriftAdaptor' added for experiments where the data used for a classification task has a concept drift in the concept to be learned. While the concept drifts in experiments performed with the 'ConceptDriftSimulator' are artificially simulated, the 'ConceptDriftAdaptor' handles data with real concept drift (and does not generate any additional artificial drift).
Allowed arbitrary names for special attributes.

What’s New in Yale 2.0 beta 2 [2003/06/18]?

Operators for concept drift simulation experiments and several time window management and example weighting approaches were added (see operators "ConceptDriftSimulator", "BatchWindowLearner", "BatchWeightLearner").
Renamed global experiment parameter 'keep_temp_files' to 'delete_temp_files'.
LegalNumberExampleFilter replaced by more general operator ExampleFilter. By implementing ConditionExampleReader.Condition users can specify arbitrary conditions.
SparseFormatExampleSource: New parameter "attributes" allows for an attribute description file similar to the ExampleSource. If the old behaviour is desired, the parameter "format" must be set to "separate_file".
DatabaseExampleSource: Separate query file replaced by new parameters ("username", "databasename", ...). In case of long queries the query (and only the query) can still be read from a separate file (still specified by "query_file"). If the password should not be written to the config file, it is queried when needed. Yale can now directly work on databases without copying the data to memory first (alpha version!!!). If this behavior is desired, the parameter "work_on_databases" must be set to true and the parameter "table_name" must be the name of an existing table. Be careful with this option since it will change the database.
FeatureGeneration: New parameter list "functions" allows specification of attribute generation and selection in config file. Was formerly specified in separate file (still working).
ExampleSetWriter: Output in sparse format and arbitrary user defined format now possible.
PerformanceEvaluator: "comparator_class" allows for user defined comparators of performance measures
Performance criteria measure micro and makro average and variance.
Special "id" attribute now supported ( tag in attribute description files).
Memory of unused attributes (e.g. intermediately generated attributes, predicted labels in crossvalidations) freed.
Weka models can now be displayed graphically.
Implementation details:
- JUnit tests added
- UserError introduced and exception handling improved.
- Refactoring eases extensibility for user defined custom operators.
- Tutorial operator description automatically generated from the JavaDoc comments in the operator source code and the operator self description.

What's New in Yale 2.0 beta [2003/03/12]?

Graphical User Interface (GUI) added.
Configuration file '~/.yalerc' moved to '~/.yale/yalerc', together with some other configuration files.
Root operators (= outer most operators) in experiments must now be of class "Experiment".

The "group" attribute of the tags was replaced by the

  <list> tag, e.g.:
    <list>
      <parameter key="key1" value="value1"/>
  ...
     <parameter key="keyN" value="valueN"/>
    </list>

All model applier operators were replaced by a single "ModelApplier" operator for all models.
The "parentlookup" attribute of tags is obsolete.
The operator "SVMLearner" was renamed to "MySVMLearner" (because Yale does not only support the mySVM by Stefan Rueping as the only SVM implementation, but also supports the implementations SVM^light by Thorsten Joachims and LibSVM by Chih-Chung Chang and Chih-Jen Lin).
Some parameters were renamed (which can be easily checked in the GUI).
- PerformanceEvaluator: 'criteria_list' replaced by boolean parameters
- Experiment: 'tmp_dir' renamed to 'temp_dir'

Yale 1.0 [2002/06/19]

Initial public release of the machine learning environment Yale (Yet Another Learning Environment).

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