Version 10.9.0.0 - Tuesday, February 21, 2023
- Fixed certificate issue with Windows Desktop App Installer.
- Fixed 'Attempting to JIT compile methods... in aot-only mode' on macOS M1 chips.
- Expressions now support accessing Links, LinksIn and LinksOut from nodes.
Version 10.8.0.0 - Thursday, December 8, 2022
- Fixed corrupt file on save in native desktop versions.
Version 10.7.0.0 - Thursday, December 1, 2022
- Fixed 'negative width or height' error with query explorer
- Fixed 'Trial/Activated' refresh issue on Start Page, after license entered/cleared
- Fixed optimization error message when no design variables available, when function nodes are present.
Version 10.6.0.0 - Saturday, November 26, 2022
- API. New query lifecycle interface added to inference algorithms, to allow dynamic query options.
- Effects analysis now supports Disjunctive Cause causal AI algorithm
- Causal optimization now supports Disjunctive Cause algorithm.
- Disjunctive Cause algorithm now supports zero interventions.
- Fixed 'status bar not updating' issue on MacOS
- Fixed 'initial clicks not responding' issue on Desktop Browser versions.
- Fixed 'None' node format Argument exception in User Interface
- Fixed slow states editor, for larger number of states
- Fixed blank query explorer on startup and theme change
- Fixed 'Overflowing multi select controls' in User Interface
Version 10.5.0.0 Beta - Monday, November 21, 2022
- Export/Load link constraints in structural learning User Interface.
- Batch query User Interface converted to Wizard.
- Parameter learning distributions can now be selected by group.
- Fixed 'Argument Null Exception' error when saving a data map in User Interface.
Version 10.4.0.0 Beta - Sunday, November 13, 2022
- Mac desktop app with installer, in addition to existing browser desktop version.
- Windows desktop app with installer, in addition to existing browser desktop version.
- New example networks added.
- Many minor issues fixed since last preview.
Version 10.3.0.0 Beta - Saturday, August 6, 2022
- Distribution editor V-Order support.
- Additional Node formatting options now available.
- Default Likelihood sample updated to 10k.
- Custom D-Separation query added to cross platform User Interface.
- Shortcut key support added to cross platform User Interface.
- Node stats bar not supports configuration in settings.
- Node stats bar now supported in pdf/clustered column/frequency column displays.
Version 10.2.0.0 Beta - Sunday, June 19, 2022
- New cross platform User Interface.
- New dark theme.
- Causal effects analysis.
- Causal inference with Direct effects (in addition to existing support for Total effects)
- Causal inference with Unobserved confounders
- Advanced causal query editor, supporting multiple interventions and treatments.
- FrontDoor criterion/causal inference algorithm.
- Backdoor criterion/causal inference algorithm.
- Disjunctive Cause criterion/causal inference algorithm.
- Abduction helper added to the User Interface.
- Display Mean +- Stdev on discretized nodes in User Interface.
- Causal Backdoor graph can be generated.
- Causal Indirect graph can be generated.
- Temporary data source can quicly be created by sampling the current network.
- Optimizer/causal optimizer continuous bounds can be saved/loaded in the User Interface.
- Auto Insight tool now supports interventions.
- Default random number generator now consistent across different APIs.
- Table and function expressions now support random number generation.
- Sum Absolute Error added to regression statistics in the API.
- Mesh query now supports interventions
- Mesh query now supports both 2D and 3D plots
- Data explorer now supports interventions
- Mesh query now supports functions on z axis
- Data Count API has been deprecated
- Change in Noisy Order on a link now only effects a single child distribution
Version 22.214.171.124 - Thursday, April 15, 2021
- Fixed unrecoverable error in user interface when switching to noisy nodes.
- Removed causal options, as not currently used.
- Intervention evidence can now be set using SHIFT click in Gaussian charts.
- Added support for noisy experience tables.
- Discrete nodes (in probability bar display mode) show an ellipsis row when any states are hidden.
- About box now displays current license key (if any).
Version 126.96.36.199 - Saturday, January 16, 2021
- Optimization now supports target value, in addition to maximize and minimize.
- Intervention evidence can be set using SHIFT click in network viewer.
- Causal optimization options now available as column in optimization wizard.
- Fixed setting continuous evidence in auto-insight analysis tool.
- Error message improved when indexer syntax attempted in expressions.
Version 188.8.131.52 - Saturday, November 7, 2020
- Optimization framework: search sets of evidence to minimize or maximize a function, continuous variable or discrete state.
- Genetic optimization algorithm to optimize evidence.
- Genetic simplification algorithm to simplify optimized evidence.
- Joint queries (incl. Decision graphs): mean values (incl. utility values) now return NaN if their associated probability is zero.
- Fixed max propagation with function nodes.
- New switch template added to expression editor templates.
- Network chart visuals improved.
- Standard deviation, variance and means added to Gaussian chart visuals.
Version 184.108.40.206 - Thursday, August 6, 2020
- Improved error message when an expression invocation does not include the method name.
- Max propagation with function nodes fixed.
- Error when invalid syntax in expressions improved.
- Expression Code Item missing header fixed.
Version 220.127.116.11 - Wednesday, August 5, 2020
- Corrupt expression evaluation in Table expressions and Function nodes fixed.
Version 18.104.22.168 - Monday, August 3, 2020
- Table expressions. Use code to define the parameters of tables, using stats, variables, math, and other complex expressions. Multi-statement expressions supported.
- Function nodes. Augment networks with function nodes, that evaluate complex expressions based on queries, log-likelihood, other functions, etc....
- Interventions. Discrete, continuous & temporal
- Frequency Density charts within nodes in the network viewer.
- Clustered column charts within nodes in the network viewer.
- Probability Density charts within nodes in the network viewer..
- More scalable alternative decision graph algorithm (SPULight).
- Per variable numeric formatting in network viewer.
- Per variable min/max chart formatting in network viewer.
- BREAKING CHANGE: DecisionAlgorithm.Default changed to SPU Light, and older SPU algorithm name now has Full suffix.
- DEPRECATED: Java 7 support removed. 8+ now supported.
- DEPRECATED: JavaScipt API deprecated, in favor of web assembly alternatives.
- Option to auto-query network on open
- Toolbar button to display node/variable descriptions.
- API: Topological sort with depth.
- Batch query export to Excel or Csv.
- Data sampling export to Excel or Csv.
Version 22.214.171.124 - Wednesday, July 1, 2020
- Value of information updated to support zero probability hypothesis states.
- Decision graph algorithm fix. Algorithm was not ordering decisions in certain siuations which increased the chance of less optimal results.
Version 126.96.36.199 - Sunday, March 15, 2020
- QueryOptions.InconsistentEvidenceMode allows control of when InconsistentEvidenceException is raised. Available in both the API and as an option in the User Interface.
- Option added to the User Interface to always calculate the log-likelihood and report it in the status bar.
Version 188.8.131.52 - Saturday, February 15, 2020
- Fixed online learning (adaptation) with deterministic distributions.
- Pattern analysis documentation updated.
Version 184.108.40.206 - Saturday, January 4, 2020
- Tree query: tree width now supports continuous variables.
- Fixed initialization bug in Parameter Learning when temporal latent node is a child of a non temporal latent node
Version 220.127.116.11 - Thursday, November 14, 2019
- API now supports parameter learning with soft/virtual evidence.
Version 18.104.22.168 - Saturday, November 2, 2019
- Improvements to final solutions reached by both Clustering structural learning and Hierarchical structural learning algorithms.
Version 22.214.171.124 - Tuesday, October 29, 2019
- Important improvements to cluster count estimation, used in both Clustering structural learning and Hierarchical structural learning.
Version 126.96.36.199 - Saturday, October 26, 2019
- Important improvements to parameter learning initialization, leading to improved solutions.
- Improvments to batch query, data sampling, and other windows on high DPI displays.
- Reduced default parameter learning tolerance with log-likelihood convergence, made possible due to improvements in the initaialization routines.
Version 188.8.131.52 - Saturday, September 7, 2019
- New distribution editor, with filtering, sorting, grouping and dynamic validation.
- Parameter count now uses a double precision floating point, to avoid overflow.
- Support added for default partition columns in the User Interface.
- Structural learning algorithms now throw an exception if data is mapped to nodes not being learned.
- DateTime columns are automatically deselected in 'Add nodes from data' wizard
- Add node menu item in Network editor fixed.
- Fixed Data explorer map to interval error when 'StateNotFound' is missing
Version 184.108.40.206 - Wednesday, July 24, 2019
- Dynamic D-Separation display.
- Complex D-Separation query.
Version 220.127.116.11 - Wednesday, July 17, 2019
- Fixed regression in 8.9 - online learning (adaptation) with noisy nodes.
Version 18.104.22.168 - Monday, July 15, 2019
- Fixed online learning (adaptation) with noisy nodes.
- Search & score structural learning now supports latent variables
Version 22.214.171.124 - Saturday, April 13, 2019
- Fixed add 'Custom Query' to 'Query explorer'.
- Fixed missing Java docs for classes implementing interfaces.
- Improved noisy node documentation
Version 126.96.36.199 - Saturday, March 2, 2019
- Fixed in-place discrete temporal node display with large time range, which was showing as dimmed or all white.
- Update: Add nodes from data now supports grid layout and adding nodes in compact view mode.
Version 188.8.131.52 - Wednesday, January 30, 2019
- New in API: D-separation calculator.
- New in API: Empirical density now includes inverse Cdf. (e.g. for calculating confidence intervals from network samples).
- New: VariableDefinition (add nodes from data) now supports EmptyStringAction.
- Fix: Default add node button now correctly displays manual add node dialog, not add nodes from data dialog.
Version 184.108.40.206 - Tuesday, January 1, 2019
- Fix: Network.Load fixed for Mono targets such as Blazor and Unity.
Version 220.127.116.11 - Saturday, December 15, 2018
- New: Clustering structural learning algorithm, automatically defines a latent variable for a model. Can be used in conjunction with other learning algorithms.
- Fix: Now window maximize/minimize buttons do not disappear on certain OS
- New: Improved .NET API documentation layout and search.
- New: Added Munin sample network.
- New: Multiple Information column properties can be changed at once.
- Fix: Confusion matrix grid and errors now display properly when not strings.
- New: Partitions and MaximumIterations options added to Hierarchical clustering algorithm.
Version 18.104.22.168 - Saturday, October 6, 2018
- Fix: 'Unable to load one or more of the requested types. Retrieve the LoaderExceptions property for more information' error was raised on .NET version 4.6.1 and 4.6.2
Version 22.214.171.124 - Monday, October 1, 2018
- Auto-insight and pattern analysis now support continuous targets
- Auto-insight user interface improvements
- Pattern analysis user interface improvements
- Auto insight and pattern analysis now support distance measures between 0-1 for easier interpretation
- API: Jensen Shannon Divergence
- API: Table.set(...) with varArgs now correctly checks for an owner to stop edits when assigned to a node.
- API: Java version now correctly manages changes made to a network when re-using the same inference engine
- API: Evidence.Clear now correctly resets the weight to 1 when no evidence is present.
Version 126.96.36.199 - Sunday, September 16, 2018
- Pattern analysis helps differentiate a discrete target state from the other states in the same variable. Useful for understanding clusters in a cluster/mixture model.
- Fix for Java 9/10 deprecation/removal of javax.xml.bind.* (Java breaking change)
- Data mapping editor updated
- BREAKING CHANGE: .NET 3.5 no longer supported
- BREAKING CHANGE: Java 6 no longer supported
- BREAKING CHANGE: Entropy class removed from Analysis namespace. Use more advanced version in Statistics namespace.
- BREAKING CHANGE: Cross validation classes moved to Data namespace
- BREAKING CHANGE: X, Y, Width & Height properties on node class, which were already deprecated, now removed. Use Bounds instead.
- BREAKING CHANGE: ValueOfInformationOutput MutualInformation and Reduction properties renamed to support both MI and MEU outputs.
- BREAKING CHANGE: Excel files pre 2007 no longer supported by default User Interface connectors.
- BREAKING CHANGE: DetectInteralFloats in VariableGenerator now defaults to true
- BREAKING CHANGE: DataPartitioning now includes PartitionCount
- BREAKING CHANGE: Parameter learning TimeSeries mode now needs to be explicitly set to either Pinned or Rolling with API. Previously defaulted to Pinned.
- BREAKING CHANGE: Parameter learning with Decision nodes now requires DecisionPostProcessing to be explicitly set.
- BREAKING CHANGE: AutoInsightOptions.KLDivergence changed from bool to enum to allow for future additions.
Version 188.8.131.52 Beta - Sunday, July 8, 2018
- .NET API now targets .NET Standard 2.0, with support for .NET 4.6.1+, .NET Core 2+ and more
- Retracted Analysis for anomaly detection diagnostics
- Fix for 'Add nodes from data' with decimal data type (e.g. currency).
Version 184.108.40.206 - Wednesday, September 20, 2017
- Fix for MySql .NET connector in User Interface.
- Fix in user interface in parameter learning wizard with noisy nodes
Version 220.127.116.11 - Thursday, July 20, 2017
- Performance fixes to Impact Analysis and Log-Likelihood analysis with larger numbers of variables.
Version 18.104.22.168 - Wednesday, July 19, 2017
- Log-likelihood analysis tool.
- In-sample anomaly detection. Helps remove anomalous data from a training set.
- API: DataTable default implementation of IEvidenceReaderCommandFactory. Helps create partitioned data sets more easily.
- API: kFold cross validation now includes non-callback version.
Version 22.214.171.124 - Saturday, July 15, 2017
- Link strengths can now be displayed graphically in the network viewer
- Layout in compact mode now takes into account label bounds
- Nodes can now be added to groups via selection in the network viewer
- Changes made to Compact/Query node views now support undo/redo
Version 126.96.36.199 - Tuesday, July 11, 2017
- Node groups. Groups can be colored for display in the User Interface
- New compact node view in user interface
- New icons in User Interface
- Network viewer magnifier
Version 188.8.131.52 - Tuesday, July 4, 2017
- New Hierarchical structural learning algorithm. Builds layered groups of variables.
- New structural learning wizard.
- New parameter learning wizard.
- Add nodes from data (VariableGenerator) now reports % of missing data for each column.
- Batch query User Interface no longer keeps handle open to data connection after processing.
- Structural learning User Interface now supports learning with a subset of nodes.
- Auto Insight User Interface now supports filtering test variables.
- Search/Score structural learning now supports link constraints.
Version 184.108.40.206 - Saturday, June 10, 2017
- Discretized ranges now displayed in UI elements
- Bug fix for continuous <-> discrete nodes in Chow-Liu and TAN structural learning algorithms
- Link associations: fixed incorrect listing of variables and nodes in User Interface
Version 220.127.116.11 - Tuesday, May 23, 2017
Version 18.104.22.168 - Saturday, May 20, 2017
- Auto-insight now supports continuous test variables in addition to discrete.
- Auto-insight now reports the Kullback-Leibler divergence for discrete & continuous variables.
- API now supports KL Divergence for discrete or continuous query distributions.
Version 22.214.171.124 - Thursday, May 18, 2017
- Value of information now supports discrete, continuous & mixed/hybrid networks.
- New Link strength / association calculator
- Value of information for decision graphs
- Mutual information calculator now supports mixed discrete-continuous distributions
- Entropy calculator now supports mixed discrete-continuous distributions
- Kullback-Leibler divergence calculator.
- Feature importance (selection) now includes mutual information.
- Auto-insight now supports copy to clipboard.
Version 126.96.36.199 - Thursday, May 11, 2017
- Chow-Liu algorithm now supports networks with a mixture of discrete & continuous nodes (hybrid)
- TAN algorithm now supports networks with a mixture of discrete & continuous nodes (hybrid)
- Batch discretization of columns. This improves the performance when discretizing many columns
- Fixed IsConstant bug in 'Add nodes from data wizard'. Only affected the user interface.
- Added progress and cancellation to 'Add nodes from data wizard' (VariableGenerator in API).
Version 188.8.131.52 - Monday, May 1, 2017
- New Search & Score structural learning algorithm
- Memory leak in inference engines fixed
- Detect integral floats option added to variable generator (Add data from nodes)
- New 'Add nodes from data' wizard added to User Interface.
- New 'Message Bar' added to 'Network Viewer' in the User Interface that guides new users
- Variable generator (Add nodes from data) detects constant variables
Version 184.108.40.206 - Wednesday, April 5, 2017
- Mutual information calculator - User Interface
- TAN structural learning now supports continuous variables
- Chow-Liu structural learning now supports continuous variables
- Application shortcuts now uninstalled correctly when previous major versions are installed.
Version 220.127.116.11 - Sunday, March 12, 2017
- Tree Augmented Naive Bayes (TAN) structural learning algorithm - discrete nodes supported
- Chow-Liu structural learning algorithm - discrete nodes supported
- Entropy now supports conditional and joint entropy as well as marginal entropy - API support
- Mutual information - marginal, joint and conditional - API support
Version 18.104.22.168 - Friday, February 17, 2017
- Help is now only available online
- Parameter count: The parameter counter is no longer restricted to 32 bit integers (Table sizes still are).
- Structural learning: numerical stability fix within statistical tests causing 'Failed to converge with values...' error
- Express edition: fix for networks with noisy nodes exceeding node limit in express edition.
- R squared combiner: error improved when weighted case counts are zero
Version 22.214.171.124 - Sunday, November 13, 2016
- Fix for FIPS enabled machines (Federal Information Processing Standard)
Version 126.96.36.199 - Sunday, October 23, 2016
- Save as image: allows saving a network to an image
- Structural learning: fix for discrete 'variables' with a single state
- Histogram density now throws sensible error if all cases are zero weighted
- Structural learning: fix for extreme cases which result in negative degrees of freedom
Version 188.8.131.52 - Saturday, July 23, 2016
- Parameter tuning
- Sensitivity to evidence (one way)
- Sensitivity to evidence (two way)
Version 184.108.40.206 - Monday, June 20, 2016
- Online learning (Adaptation)
- Histogram based empirical density, which can be used to model the distribution of log-likelihood values
- Auto-insight now supports multiple variables and multiple states in the user interface and supports discrete nodes in hybrid networks.
- Fixed re-enabling of buttons in the user interface after longer query times.
- Added R squared to regression statistics
- Decision graph algorithm selector added to user interface
- Decision graph strategy (policies) can now easily be queried from the user interface
- Set all values option added to distribution editor
Version 220.127.116.11 - Tuesday, May 24, 2016
- Fixed reading Bayes Server files saved from Java, and then loaded in .NET. Only affects networks with State values.
- Auto insight target variable and state split in the User Interface to make selection faster and easier.
- New Time Series learning mode.
Version 18.104.22.168 - Saturday, April 30, 2016
- WindowDataReader GetOrdinal/getColumnName bug fix.
- 'Add nodes from data' now supports Decision and utility nodes.
Version 22.214.171.124 - Saturday, April 23, 2016
- Simple in-memory data store (DataTable, DataRow,...) added to Java API. Allows easier integration of data driven features from R (Data Frames), Python (Data Frames) & Matlab.
- Data windowing added to APIs (WindowDataReader, WindowDataReaderCommand).
Version 126.96.36.199 - Monday, April 11, 2016
- Default log-likelihood tolerance changed to 1e-6
- BREAKING CHANGE: Java IDataPartition interface renamed to DataPartition.
- BREAKING CHANGE: Java DataPartition & EvidencePartition moved to com.bayesserver.data.distributed namespace.
Version 188.8.131.52 Alpha - Saturday, March 19, 2016
- Fixed csv connection editors in the user interface
Version 184.108.40.206 Alpha - Friday, March 11, 2016
- Help added for Decision graphs (LIMIDS)
- CSV support added to user interface.
- New Oil Wilcatter sample decision graph added.
- Walkthrough data now included in an Excel spreadsheet.
Version 220.127.116.11 Alpha - Saturday, March 5, 2016
- Decision graphs (limited memory influence diagrams LIMIDS)
- Multivariate conditional utility queries (can be used to generate data for profit/cost surfaces).
- Decision graph parameter learning.
- Utility variables with variances.
- New Expert disagreement sample network added.
- Decision graphs with both discrete and continuous probability (chance) nodes.
- BREAKING CHANGE FROM 6: The default convergence method for parameter learning is now log-likelihood.
- BREAKING CHANGE FROM 6: The default prior for parameter learning is now uniform.
- BREAKING CHANGE FROM 6: The default initialization method for parameter learning is now clustering.
- BREAKING CHANGE FROM 6: ParameterLearningOptions.Tolerance now defaults to null, with the default depending on the Convergence method used (available via ToleranceOrDefault).
Version 18.104.22.168 - Saturday, January 30, 2016
- Detect cluster count now supported in the user interface.
- Fix for clustered initialization with weighted data during parameter learning.
Version 22.214.171.124 - Friday, December 25, 2015
- Fix for disabled menu items in the User Interface, caused by a bug in .NET 4.6.1
- Fixed NaN error which occurred during clustered initialization with a variable with zero variance.
- Fixed 'Specified argument was out of the range of valid values' error in structural learning caused by zero degrees of freedom in test.
Version 126.96.36.199 - Saturday, October 10, 2015
- API: Detect the number of states of a discrete latent variable (cluster/mixture).
- API: Convert from a covariance matrix to a correlation matrix.
Version 188.8.131.52 - Sunday, October 4, 2015
- Conditional queries such as P(A|B) and P(A,B|C,D) now directly supported in the API and User Interface.
- Soft evidence can now be adjusted by existing distributions or queries.
- List of errors now available in the Confusion matrix user interface.
- Checkbox bindings in 'Add nodes from data' dialog fixed.
- Network viewer theme mordernized.
Version 184.108.40.206 - Sunday, August 9, 2015
- Performance of multi-variate Gaussians improved.
- API: New instantiation methods on CLGaussian, that provide improved performance
- Structural learning now correctly supports discrete variables with only a single state
Version 220.127.116.11 - Saturday, June 27, 2015
- Avoid 'Covariance matrix is not positive definite' errors during structural learning, with numerical stability enhancements.
Version 18.104.22.168 - Saturday, March 28, 2015
- Add multiple states to a variable.
- Further improvements to the numerical stability of high dimensional Gaussian distributions.
- Gaussian distribution plots can be weighted, to decrease visibility of lower support Gaussians.
- Temporal scatter plot - fix for variables plotted on incorrect axes.
Version 22.214.171.124 - Wednesday, March 25, 2015
- Query plots now support ordering of variables.
- Clustered initialization - performance improvements with large discrete variables.
- Clustered initialization - handling of temporal variables improved.
- Clustered initialization - improved handling of conditional latent variables.
Version 126.96.36.199 - Saturday, March 21, 2015
- Clustering initialization method fixed to work with distributed parameter learning.
- Numerical stability of high dimensional Gaussian distributions improved.
Version 188.8.131.52 - Saturday, March 14, 2015
- New parameter learning initialization algorithm [Clustering], that often provides better results with fewer EM iterations. By default this is not enabled, to maintain compatibility with version 6.
- Rendering of Gaussians (visualizing queries and parameter learning monitoring) improved to handle 1000s of Gaussians.
- Initialized state now output at iteration 0 during parameter learning progress notifications.
- Random sampling parameter learning initialization fix that provides improved starting covariances.
Version 184.108.40.206 - Tuesday, February 10, 2015
- Performance improvements to Relevance Tree inference with large discrete variables.
- Fixed incorrect max propagation log-likelihood calculation for certain Relevance Tree inference queries.
- Performance improvements to parameter learning.
- Fixed occasional incorrect display of the last variable in the Data Map window in the user interface.
Version 220.127.116.11 - Sunday, October 5, 2014
- Uniform prior option added to parameter learning user interface
- Data tables are now cached by function in the user interface.
- New variable argument Node constructor added for creation with variables.
Version 18.104.22.168 - Thursday, September 25, 2014
- Automatic check for updates now has limited support for automatic proxy detection.
- Fixed Table.getMaxValue in Java API. Previously properties were hidden.
- Fixed information columns filter in data map window
- Fixed data explorer bug caused when non temporal data was not mapped when temporal data is.
- Improved the performance of Node explorer for discrete variables with large numbers of states.
Version 22.214.171.124 - Thursday, September 18, 2014
- Improved inference performance with large discrete variables.
- Improved parameter learning performance with large discrete variables.
Version 6.3.9141.0 - Wednesday, September 3, 2014
Version 6.2.9118.0 Beta - Thursday, August 21, 2014
- Added selection likelihood per pane in auto insight viewer.
- Documentation updates for new features
Version 6.2.9111.0 Beta - Tuesday, August 19, 2014
- Fixed scrolling in auto insight viewer.
Version 6.2.9110.0 Beta - Sunday, August 17, 2014
- States are now sorted in evidence explorer.
- Performance of auto insight user interface improved.
- Minor breaking changes to distributed parameter learning method arguments.
Version 6.1.9099.0 Beta - Monday, August 11, 2014
- Uniform discrete priors
- Fixed log-likelihood monitoring in distributed parameter learning
- Confusion matrix grid view
Version 6.0.9068.0 Alpha - Thursday, August 7, 2014
- Save and load Networks from strings.
- Fixed MarginalizeLowMemory in MPE mode.
- Node, variable and state lookup by name can optionally throw if not found.
- Many new methods for easier access to Table and CLGaussian parameters, using Variables and States directly.
- New methods to facilitate easier creation of Nodes, Variables and Tables using variable length parameter lists.
Version 6.0.8976.0 Alpha - Tuesday, July 29, 2014
- Excel batch queries fix
- Batch query create table data types fix
Version 6.0.8931.0 Alpha - Thursday, July 24, 2014
- Auto insight decision tree
Version 6.0.8901.0 Alpha - Sunday, July 20, 2014
- Fixed check for update code for pre-releases.
Version 6.0.8899.0 Alpha - Saturday, July 19, 2014
- Distributed parameter learning
- Auto insight
- Breaking change to EvidenceReader interfaces.
Version 5.6.8979.0 - Tuesday, July 29, 2014
- Fixed check for update code for pre-releases.
- Fixed bug in Network.Load
- Batch query create table data types fix
Version 5.5.8753.0 - Saturday, March 8, 2014
- Fixed query explorer repaint issue.
- Zoom slider improved.
- Fixed create tables sql generation - state indexes option
Version 5.4.8708.0 Beta - Saturday, February 22, 2014
- Fixed bug in the batch query user interface. Discretized variables were not available when constructing a confusion matrix.
- Improved the numerical stability of the structural learning algorithm, especially with highly correlated data.
- Many new help topics and new feature help completed.
- New buttons to facilitate easier adding of default Case, Weight and Time column names.
- User interface now defaults to times not being zero based indexes.
- New noisy node sample network
- New walkthrough - Discovering insight using comparison queries
Version 5.3.8627.0 Beta - Sunday, January 26, 2014
- Fixed additional bug in 'Add nodes from data' which lead to an 'Object reference not set to an instance of an object' error.
- Improved equal frequency discretization algorithm with handling of integral types.
- Improved equal frequency discretization algorithm to more often return the suggested bin count with heavily skewed distributions.
- Fixed misleading error reporting when invalid data is detected during concurrent parameter learning.
Version 5.2.8606.0 Beta - Monday, January 20, 2014
- Cross validation added to API
- Residual plots added to batch query window
- Fixed bug in temporal structural learning
- Fixed timeout bug when writing large batch query predictions to a data source
- Fixed State Not Found Action bug
- Fixed bug in 'Add nodes from data' which lead to an 'Object reference not set to an instance of an object' error.
Version 5.1.8329.0 Beta - Wednesday, October 2, 2013
- Structural learning
- Java API
Version 5.0.8118.0 Alpha - Sunday, September 1, 2013
- Alpha expiry date extended
Version 5.0.7738.0 Alpha - Wednesday, May 29, 2013
- Loopy belief approximate inference algorithm
- Likelihood weighting approximate inference algorithm
- Value of Information
- Comparison queries
- New data discovery options such as maximum state probability and sort ascending
- Tree query (tree width)
- Noisy nodes (Breaking changes with Node.Distributions)
- Data Count
- Data sampling now outputs weight.
- Equal frequency discretization algorithm improved.
- Case sampling
- Nested DataReader in API
- New visuals for sequence data(e.g.Markov models, Hidden Markov models, Click modelling)
- Query-order states
- Manual re-order states