This is the largest dcgp release so far, coming after several months of hard work by the development team. To start off, several changes have been done on dcgp dependencies. In particular: audi v1.7 is now used and that brings in a more efficient generalized dual numbers algebra symengine v0.5.0 is used and interfaced to dcgp to manipulate in c++ directly symbolic expressions represented by CGPs. pagmo v2.11 is now a dependency and used to represents symbolic regression as an optimization problem. Then, we have the first version of a new feature that allows symbolic regression tasks to be solved with a much improved API and algorithms. In particular this involves a new pagmo UPDs (optimization problem) to represents symbolic regression t...
This release introduces many new features and optimizations. All models can now be solved using the ...
Extends dcpg_data.py, updates documentation, and fixes minor bugs. Extends dcpg_data.py to support ...
Adds dcpg_eval_perf.py and R markdown files for computing and visualizing performance metrics genome...
This release come with various important new features on the Python side. Most importantly, kernels,...
New Features dCGP-ANNs are added to the available expressions New kernels are available for CGP ...
A small point release to fix the build of the pip packages due to the version number not being updat...
New A new UDA is introduced to solve symbolic regression problems. Its called moes (Multi-Objecti...
This release contains some modification necessary to make windows binaries. The CI system is upgrade...
This is a minor release including updates to soem of the third party dependencies we typically build...
Phenotype correction New features Phenotype correction implemented and exposed. Allows for the symb...
In this release we did introduce a few bug fixes #59 #57 thanks to @hejung, but mostly we reworked t...
Minor Release small bug fixes code sanity initial implementation of a few important, albeit undocum...
DC-IP upgrades from PR #650 commits from @sgkang, @thast, @micmitch, @fourndo review from @lheagy...
Ginkgo is a production-ready sparse linear algebra library for high performance computing on GPU-cen...
The development of the DMP Common Standard Ontology (DCSO) is an ongoing effort intended to provide ...
This release introduces many new features and optimizations. All models can now be solved using the ...
Extends dcpg_data.py, updates documentation, and fixes minor bugs. Extends dcpg_data.py to support ...
Adds dcpg_eval_perf.py and R markdown files for computing and visualizing performance metrics genome...
This release come with various important new features on the Python side. Most importantly, kernels,...
New Features dCGP-ANNs are added to the available expressions New kernels are available for CGP ...
A small point release to fix the build of the pip packages due to the version number not being updat...
New A new UDA is introduced to solve symbolic regression problems. Its called moes (Multi-Objecti...
This release contains some modification necessary to make windows binaries. The CI system is upgrade...
This is a minor release including updates to soem of the third party dependencies we typically build...
Phenotype correction New features Phenotype correction implemented and exposed. Allows for the symb...
In this release we did introduce a few bug fixes #59 #57 thanks to @hejung, but mostly we reworked t...
Minor Release small bug fixes code sanity initial implementation of a few important, albeit undocum...
DC-IP upgrades from PR #650 commits from @sgkang, @thast, @micmitch, @fourndo review from @lheagy...
Ginkgo is a production-ready sparse linear algebra library for high performance computing on GPU-cen...
The development of the DMP Common Standard Ontology (DCSO) is an ongoing effort intended to provide ...
This release introduces many new features and optimizations. All models can now be solved using the ...
Extends dcpg_data.py, updates documentation, and fixes minor bugs. Extends dcpg_data.py to support ...
Adds dcpg_eval_perf.py and R markdown files for computing and visualizing performance metrics genome...