Change Log

Version 2.1.0 (https://github.com/linqs/psl/tree/2.1.0)
Full Change Information

• PostgreSQL Database Backend
• Removed MySQL support
• Removed the Queries Class
• Removed InserterUtils
• Bulk Dataloading in Postgres
• Deferred Indexing
• No More Predicate Deserialization
• UniqueID Storage Types
• Long Predicate Names Allowed
• CLI Configuration Properties
• Complete CLI Predicate Typing
• Getting the PSL Version
• Random in PSL
• Parallelization in PSL
• Configuration Reworked
• New Canary Naming System
• Inference API Rework
• Moved PSL Evaluation
• Evaluation Infrastructure Changes
• External Function Support

Version 2.0.0 (https://github.com/linqs/psl/tree/2.0.0)

• Add a new type of rule called Arithmetic Rules.
  • The use case previously satisfied by Constraints have been replaced by arithmetic rules.
• The Rule Syntax has been expanded to accomodate arithmetic rules.
  • Rules in Groovy may now be specified using strings.
  • Rules in Groovy may now be specified in bulk using large strings or files.
• A CLI Interface has been added to PSL to help develop program more quickly.
• All PSL packages have been renamed from edu.umd.cs to org.linqs.
• PSL Examples have been relocated to an external repository instead of a maven archetype.
• Many non-critical components have been moved out to two external repositories:
  • PSL Utils
  • PSL Experimental
• The PSL Maven Repository has been moved.
• Bug fixes.
• Performances Enhancements.

Version 1.2.1 (https://github.com/linqs/psl/tree/1.2.1)

• Bug fix for External Function registration

Version 1.2 (https://github.com/linqs/psl/tree/1.2)

• Expectation-maximization and [paired-dual learning] (http://linqs.cs.umd.edu/basilic/web/Publications/2015/bach:icml15/bach-icml15.pdf) in the org.linqs.psl.application.learning.weight.em package
• Topic modeling with latent topic networks in the org.linqs.psl.application.topicmodel package
• Support for averaging rules in the org.linqs.psl.model.kernel.rule package
• New DateTime and Long attribute types in the org.linqs.psl.model.argument package, thanks to Jack Sullivan
• Java 8 compatibility
• Support for MySQL backend (except for external functions)
• Bug fixes

Version 1.1.1 (https://github.com/linqs/psl/tree/1.1.1)

• Improved examples, which demonstrate database population for non-lazy inference and learning
• Support for learning negative weights (limited to inference methods for discrete MRFs that support negative weights)
• Bug fixes

Version 1.1 (https://github.com/linqs/psl/tree/1.1)

• An improved Groovy interface. Try the new examples via https://github.com/linqs/psl/wiki/Installing-examples to learn the new interface.
• New, improved psl-core architecture
• Much faster inference based on the alternating direction method of multipliers (ADMM).
• Improved max-likelihood weight learning
• New max-pseudolikelihood and large-margin weight learning
• Many bug fixes and minor improvements.

Version 1.0.2 (https://github.com/linqs/psl/tree/1.0.2)

• Fixed bugs in HomogeneousIPM and MOSEK add-on caused by bug in parallel colt when using selections from large, sparse matrices.
• Fixed bug when learning weights of programs which contain set functions.
• Reduced memory footprint of HomogeneousIPM and matrices produced by ConicProgram.

Version 1.0.1 (https://github.com/linqs/psl/tree/1.0.1)

• Fixed bug in optimization program when the same atom was used more than once in a ground rule or constraint.
• Added release profile to parent POM for better packaging.
• Minor changes to archetypes.

Version 1.0 (https://github.com/linqs/psl/tree/1.0)

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