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Release Notes

v1.2.19 - py 0.0.9

Adding support for experimental PGM or Probabilistic graphical models through the GP feature (crate).

Major cleanup or unused code and massive graph performance improvements through the use of smallvec as connections instead of BTreeSets.

Improving eventing system through cleaner code and removing redundant events.

Introducing radiate-error (RadiateError) into the core crates ad requiring its usage in certain traits (Problem mainly). We also use this error type in py-radiate and allow it to bubble up into python's type system too.

Brining metrics to the forefront in python.

Full Changelog

v1.2.18 - py 0.0.8

Fixing subtle bug in recurrent graphs where a random seed wasn't being respected, leading to non-deterministic behavior in some cases. This fix ensures that all random operations within recurrent graphs are consistent and reproducible when a seed is provided.

Added three new types of graphs:

  • LSTM (Long Short-Term Memory) Graphs: These are a type of recurrent neural network (RNN) that can learn long-term dependencies.
  • GRU (Gated Recurrent Unit) Graphs: Similar to LSTMs, GRUs are a type of RNN that are simpler and often more efficient.
  • Mesh Graphs: Graphs structured in a mesh topology.

v1.2.17 - py 0.0.7

In response to github issue #23.

Ensuring that FloatGenes/IntGene's respect their bounds during mutation and crossover. This was a bug where mutated or crossovered genes could exceed their defined bounds, which could lead to invalid individuals in the population. This fix ensures that all FloatGenes/IntGene's remain within their specified bounds after any genetic operation. Also some optimizations and code cleanup for py-radiate. Large additions to tests.

Also adding new mutator: JitterMutator for FloatGenes. This mutator adds a small random value (jitter) to each gene, controlled by a magnitude parameter.

v1.2.16

In response to github issue #22.

Adding support for batch fitness functions and batch engine problems through a new trait (BatchFitnessFn). Some small cleanup on other fitness functions and some chromosome operators.

v1.2.15 - py 0.0.6

Adding Novelty Search to python and refactoring engine building across the rust/python bridge. Improving python's speed. Adding type checking to python and upgrading python package to >= python 3.12 to support new python generics. Improving docs to reference new functionality.

New alters:

  • EdgeRecombinationCrossover for PermutationGenes
  • PolynomialMutator for chromosomes with FloatGenes

Added code path in alters for dynamic mutation/crossover rates. This is in early dev, but an be seen in PolynomialMutator.

v1.2.14 - py 0.0.4

Added support for novelty search, fitness-based novelty, and combined novelty and fitness search. Improved documentation and examples. Improved traits for Engine and introduced one for FitnessFn. Bug fixes for pareto fronts and engine iterators.