v0.1.4

MLJParticleSwarmOptimization v0.1.4

Diff since v0.1.3

Merged pull requests:

• updated deps (#29) (@PasoStudio73)
• For a 0.1.5 release (#32) (@ablaom)
• Fix version number (I skipped 0.1.4) (#33) (@ablaom)

v0.1.3

MLJParticleSwarmOptimization v0.1.3

Diff since v0.1.2

Closed issues:

• MultitargetNeuralNetworkRegressor and measure (#19)
• Time limit with hyperparameters optimization and MLJParticleSwarmOptimization (#22)
• Tests failing after updating MLJBase compat (#24)
• Tests are failing with no change to code (#25)

Merged pull requests:

• Maintenance on tests (#26) (@ablaom)
• For a 0.1.3 release (#28) (@ablaom)

v0.1.2

MLJParticleSwarmOptimization v0.1.2

Diff since v0.1.1

Closed issues:

• Tests failing in Julia 1.6 (multithreading and RNGs) (#14)
• Issue to trigger new releases (#20)

Merged pull requests:

• Relax flawed test (#15) (@ablaom)
• Bump compats MLJBase to 0.20 and MLJTuning to 0.7 (#16) (@ablaom)
• For a 0.1.2 release (#21) (@ablaom)

v0.1.1

MLJParticleSwarmOptimization v0.1.1

Diff since v0.1.0

Merged pull requests:

• Add plotting for AdaptiveParticleSwarm (#10) (@lhnguyen-vn)
• Bump MLJTuning version for upstream reproducibility fix (#11) (@lhnguyen-vn)

v0.1.0

MLJParticleSwarmOptimization v0.1.0

Merged pull requests:

• Add naive particle swarm tuning strategy (#5) (@lhnguyen-vn)
• Add AdaptiveParticleSwarm strategy (#6) (@lhnguyen-vn)
• Fix measure orientation bug (#7) (@lhnguyen-vn)
• Add AdaptiveParticleSwarm strategy (#8) (@lhnguyen-vn)