SymbolicRegression.jl

SymbolicRegression v0.14.0

Diff since v0.13.3

Merged pull requests:

• Add @extend_operators from DynamicExpressions.jl v0.4.0 (#153) (@MilesCranmer)

SymbolicRegression v0.13.3

Diff since v0.13.1

Merged pull requests:

• 30% speed up by using LoopVectorization in DynamicExpressions.jl (#151) (@MilesCranmer)

• Allow strings to be passed for the parallelism argument of EquationSearch (e.g., "multithreading" instead of :multithreading). This is to allow compatibility with PyJulia calls, which can't pass symbols.

Full Changelog: https://github.com/MilesCranmer/SymbolicRegression.jl/compare/v0.13.1...v0.13.2

SymbolicRegression v0.13.1

Diff since v0.13.0

Merged pull requests:

• Refactor mutation probabilities (#140) (@MilesCranmer)

SymbolicRegression v0.13.0

Diff since v0.12.6

Merged pull requests:

• Split codebase in two: DynamicExpressions.jl and SymbolicRegression.jl (#147) (@MilesCranmer)

SymbolicRegression v0.12.6

Diff since v0.12.5

Closed issues:

• [Feature] Integration of Existing Knowledge (#139)
• Search fidelity is much worse after v0.12.3 (#148)

Merged pull requests:

• Fix search performance problem #148 (#149) (@MilesCranmer)

SymbolicRegression v0.12.5

Diff since v0.12.4

SymbolicRegression v0.12.4

Diff since v0.12.3

Merged pull requests:

• Create logo (#145) (@MilesCranmer)

SymbolicRegression v0.12.3

Diff since v0.12.2

Merged pull requests:

• Even faster evaluation (#144) (@MilesCranmer)

SymbolicRegression v0.12.2

Diff since v0.12.1

Closed issues:

• How to fix a number of variables in predicted equations (#130)

Merged pull requests:

• Fast evaluation for constant trees (#129) (@MilesCranmer)

SymbolicRegression v0.12.1

Diff since v0.12.0

What's Changed

• Use functions returning NaN on branch cuts instead of abs (issue #109) by @johanbluecreek in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/123
  • By returning NaN, an expression will have infinite loss - this will make the expression search simply avoid expressions that hit out-of-domain errors, rather than using abs everywhere which results in fundamentally different functional forms.
• Generalize Node{T} type to non-floats by @MilesCranmer in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/122
  • Will eventually enable integer-only expression searches

Full Changelog: https://github.com/MilesCranmer/SymbolicRegression.jl/compare/v0.11.1...v0.12.0

What's Changed

• Generalize expressions to have arbitrary constant types by @MilesCranmer in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/119
• Optimizer options by @johanbluecreek in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/121
• Fix recorder when Inf appears as loss for expression
• Fix normalization when dataset has zero variance: https://github.com/MilesCranmer/SymbolicRegression.jl/commit/85f4909e8156ba8ff6cf89122371901a13df5688
• Set default parsimony to 0.0

New Contributors

• @johanbluecreek made their first contribution in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/121

Full Changelog: https://github.com/MilesCranmer/SymbolicRegression.jl/compare/v0.10.2...v0.11.1

SymbolicRegression v0.10.2

Diff since v0.9.7

Merged pull requests:

• Update losses.md (#114) (@pitmonticone)
• Set timeout-minutes for CI (#116) (@rikhuijzer)

SymbolicRegression v0.9.7

Diff since v0.9.6

SymbolicRegression v0.9.6

Diff since v0.9.5

What's Changed

• Add deterministic option in https://github.com/MilesCranmer/SymbolicRegression.jl/pull/108
• Fix issue with infinite while loop due to numerical precision

Full Changelog: https://github.com/MilesCranmer/SymbolicRegression.jl/compare/v0.9.3...v0.9.5

SymbolicRegression v0.9.3

Diff since v0.9.2

Merged pull requests:

• CompatHelper: bump compat for LossFunctions to 0.8, (keep existing compat) (#106) (@github-actions[bot])

SymbolicRegression v0.9.2

Diff since v0.9.0

Closed issues:

• Q : recording # of function calls (#74)
• Mangled name from @FromFile displayed in docs (#78)
• Consistent snake_case vs CamelCase (#85)

Merged pull requests:

• Apply Blue formatting + change all internal methods to snake_case (#100) (@MilesCranmer)
• Limiting max evaluations (#104) (@MilesCranmer)
• Custom complexities of operators, variables, and constants (#105) (@MilesCranmer)

SymbolicRegression v0.9.0

Diff since v0.8.7

Closed issues:

• Update SymbolicUtils (#98)

Merged pull requests:

• Bump SymbolicUtils.jl to 0.19 (#84) (@ChrisRackauckas)