v0.2.5

BayesianOptimization v0.2.5

Diff since v0.2.4

Closed issues:

• InterruptException from optimizemodel! (#23)

v0.2.4

BayesianOptimization v0.2.4

Diff since v0.2.3

Closed issues:

• Elastic GPE issue (#20)

Merged pull requests:

• CompatHelper: bump compat for "SpecialFunctions" to "1.2" (#24) (@github-actions[bot])

v0.2.3

BayesianOptimization v0.2.3

Diff since v0.2.2

Closed issues:

• Example no longer working (#14)

Merged pull requests:

• CompatHelper: bump compat for "GaussianProcesses" to "0.12" (#16) (@github-actions[bot])

v0.2.2

BayesianOptimization v0.2.2

Diff since v0.2.1

Closed issues:

• Help with hyper parameter optimization (#13)

Merged pull requests:

• Install TagBot as a GitHub Action (#15) (@JuliaTagBot)

v0.2.1

v0.2.1 (2019-06-22)

Diff since v0.2.0

Closed issues:

• Feature request: pass initial evaluation points as argument (#12)
• please tag a release (#11)

v0.2.0

v0.2.0 (2019-06-12)

• Breaking changes: rename NoOptimizer -> NoModelOptimizer, MLGPOptimizer -> MAPGPOptimizer, lhs_iterations -> initializer_iterations
• New features: use Sobol sequence by default to initialize the model. Latin hypercube sampling can be used with ScaledLHSIterator.
• Fixes: warmstart models (#7, #10)

Diff since v0.1.1

Closed issues:

• Restarting optimization (#7)
• Ambiguous error message for incorrect type (#6)
• Allow GP to use given observation noise (#5)

Merged pull requests:

• Warmstart (#7) (#10) (platawiec)
• correct a trivial typo (#4) (tpapp)

v0.1.1

refactoring; use TimerOutputs; repeated function eval option

v0.1.0

add coverage