# \[ANN\] SymbolicRegression.jl 1.0.0 - Distributed High-Performance Symbolic Regression in Julia
**URL:** https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791
**Category:** Package Announcements
**Tags:** package, symbolic-regression
**Created:** [November 18, 2024, 9:39pm UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791 "2024-11-18T21:39:19Z")
**Posts on this page:** 5
**Page:** 2
### Author:  [@BLI](https://discourse.julialang.org/u/BLI)
#### Post date: [November 29, 2024, 9:22am UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791/21 "2024-11-29T09:22:18Z")
…but it does not give as output the actual equations listen by, say,
In other words, it does not respond with \alpha\_1(x), \alpha\_2(x), but instead with f(\alpha\_1(x), \alpha\_2(x)) , whatever the structure of f(\cdot) is.
OK – I understand it, I think.
---
### Author:  [@MilesCranmer](https://discourse.julialang.org/u/MilesCranmer)
#### Post date: [November 29, 2024, 9:27am UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791/22 "2024-11-29T09:27:07Z")
Yeah this is the interface. If you call
```julia
(ex::AbstractExpression)(X::AbstractMatrix)
```
It should always return a vector, with each element corresponding to a column of X. And similar for `string_tree` - it will just return a single `String`.
This is true for `Expression`, `ParametricExpression`, `TemplateExpression`, and `ComposableExpression`.
The purpose of this uniform interface is so that you can just plug in whatever custom expression type you want, and the search code should be mostly compatible.
But this also means that to get individual pieces of a `TemplateExpression` you need to do so manually, with `get_contents` (and sometimes `get_metadata`, like to extract parameters from `ParametricExpression`)
---
### Author:  [@BLI](https://discourse.julialang.org/u/BLI)
#### Post date: [November 29, 2024, 12:04pm UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791/23 "2024-11-29T12:04:10Z")
> [@MilesCranmer](#):
>
> P.S., it turns out you can just use nullary functions for including scalar parameters in the fixed structure 🤘
I just tried this… it seems to work until I try to fit the “machine”: then I get an error message of `type NamedTuple has no field structure`…
Here is my attempt:
```julia
const R = 8.314
const F = 9.648e4
const T = 273.15 + 80
u_data = data_oer[:,2]
i_data = data_oer[:,1]
function form_1((; i₀, α₁, α₂), (u,))
k₁ = α₁(u) * F/R/T * u
k₂ = α₂(u) * F/R/T * u
i₀() * (exp(k₁) - exp(-k₂))
end
structure_1 = TemplateStructure{(:i₀,:α₁,:α₂)}(form_1)
model_oer_1 = SRRegressor(
batching=true,
niterations=400,
binary_operators=[+,-,*],
maxsize=30,
timeout_in_seconds=60.0 *5,
save_to_file=false, # causes no report file to be written
expression_type = TemplateExpression,
expression_options=(;structure_1),
)
mach_1 = machine(model_oer_1, X, i_data)
fit!(mach_1)
```
which leads to
```julia
Info: Training machine(SRRegressor(defaults = nothing, …), …).
└ @ MLJBase C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:499
┌ Error: Problem fitting the machine machine(SRRegressor(defaults = nothing, …), …).
└ @ MLJBase C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:694
┌ Info: Running type checks...
└ @ MLJBase C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:699
┌ Info: Type checks okay.
└ @ MLJBase C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:703
type NamedTuple has no field structure
Stacktrace:
[1] getproperty
@ .\Base.jl:49 [inlined]
[2] create_expression(t::Node{Float64}, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, dataset::Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}, ::Type{Node}, ::Type{TemplateExpression}, ::Val{false})
@ SymbolicRegression.TemplateExpressionModule C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\TemplateExpression.jl:236
[3] create_expression(t::Float64, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, dataset::Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}, ::Type{Node}, ::Type{TemplateExpression}, ::Val{false})
@ SymbolicRegression.ExpressionBuilderModule C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\ExpressionBuilder.jl:53
[4] create_expression(t::Float64, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, dataset::Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}, ::Val{false})
@ SymbolicRegression.ExpressionBuilderModule C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\ExpressionBuilder.jl:23
[5] create_expression(t::Float64, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, dataset::Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing})
@ SymbolicRegression.ExpressionBuilderModule C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\ExpressionBuilder.jl:23
[6] update_baseline_loss!(dataset::Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5})
@ SymbolicRegression.LossFunctionsModule C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\LossFunctions.jl:248
[7] _validate_options(datasets::Vector{Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}}, ropt::SymbolicRegression.SearchUtilsModule.RuntimeOptions{:multithreading, 1, true, Nothing}, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5})
@ SymbolicRegression C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\SymbolicRegression.jl:561
[8] _equation_search(datasets::Vector{Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}}, ropt::SymbolicRegression.SearchUtilsModule.RuntimeOptions{:multithreading, 1, true, Nothing}, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, saved_state::Nothing)
@ SymbolicRegression C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\SymbolicRegression.jl:531
[9] equation_search(datasets::Vector{Dataset{Float64, Float64, Matrix{Float64}, Vector{Float64}, Nothing, @NamedTuple{}, Nothing, Nothing, Nothing, Nothing}}; options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, saved_state::Nothing, runtime_options::Nothing, runtime_options_kws::@Kwargs{niterations::Int64, parallelism::Symbol, numprocs::Nothing, procs::Nothing, addprocs_function::Nothing, heap_size_hint_in_bytes::Nothing, runtests::Bool, return_state::Bool, run_id::Nothing, verbosity::Int64, logger::Nothing, progress::Nothing, v_dim_out::Val{1}})
@ SymbolicRegression C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\SymbolicRegression.jl:525
[10] equation_search(X::Matrix{Float64}, y::Matrix{Float64}; niterations::Int64, weights::Nothing, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, variable_names::Vector{String}, display_variable_names::Vector{String}, y_variable_names::Nothing, parallelism::Symbol, numprocs::Nothing, procs::Nothing, addprocs_function::Nothing, heap_size_hint_in_bytes::Nothing, runtests::Bool, saved_state::Nothing, return_state::Bool, run_id::Nothing, loss_type::Type{Nothing}, verbosity::Int64, logger::Nothing, progress::Nothing, X_units::Nothing, y_units::Nothing, extra::@NamedTuple{}, v_dim_out::Val{1}, multithreaded::Nothing)
@ SymbolicRegression C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\SymbolicRegression.jl:476
[11] equation_search(X::Matrix{Float64}, y::Vector{Float64}; kw::@Kwargs{niterations::Int64, weights::Nothing, variable_names::Vector{String}, display_variable_names::Vector{String}, options::Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum{Tuple{typeof(+), typeof(-), typeof(*)}, Tuple{}}, Node, TemplateExpression, @NamedTuple{structure_1::TemplateStructure{(:i₀, :α₁, :α₂), typeof(form_1), @NamedTuple{i₀::Int64, α₁::Int64, α₂::Int64}}}, MutationWeights, false, false, nothing, Nothing, 5}, parallelism::Symbol, numprocs::Nothing, procs::Nothing, addprocs_function::Nothing, heap_size_hint_in_bytes::Nothing, runtests::Bool, saved_state::Nothing, return_state::Bool, run_id::Nothing, loss_type::DataType, X_units::Nothing, y_units::Nothing, verbosity::Int64, extra::@NamedTuple{}, logger::Nothing, v_dim_out::Val{1}})
@ SymbolicRegression C:\Users\Bernt_Lie\.julia\packages\SymbolicRegression\44X04\src\SymbolicRegression.jl:499
...
@ C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:789 [inlined]
[19] fit!(mach::MLJBase.Machine{SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, DataType}, SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, DataType}, true})
@ MLJBase C:\Users\Bernt_Lie\.julia\packages\MLJBase\7nGJF\src\machines.jl:786
[20] top-level scope
@ c:\Users\Bernt_Lie\OneDrive\Documents\booksBLSOL\ModDynSyst\Project\Project_2024\Code\jl_notebook_cell_df34fa98e69747e1a8f8a730347b8e2f_Y354sZmlsZQ==.jl:1
```
---
### Author:  [@BLI](https://discourse.julialang.org/u/BLI)
#### Post date: [November 29, 2024, 12:30pm UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791/24 "2024-11-29T12:30:00Z")
Ah… the problem disappears if I change the name of `structure_1` to `structure`. But isn’t this just a name??
---
### Author:  [@MilesCranmer](https://discourse.julialang.org/u/MilesCranmer)
#### Post date: [November 29, 2024, 12:32pm UTC](https://discourse.julialang.org/t/ann-symbolicregression-jl-1-0-0-distributed-high-performance-symbolic-regression-in-julia/122791/25 "2024-11-29T12:32:53Z")
In Julia, the syntax `(; structure)` is shorthand for `(; structure=structure)`. So you would have to do `(; structure=structure_1)` in your case
```julia
julia> a = 1;
julia> (; a)
(a = 1,)
julia> (; b=a)
(b = 1,)
```
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