[BUG]: WARNING: could not import SymbolicRegression.Expression into Main

[johnbendi]

What happened?

I get the above warning when try to do:
using SymbolicRegression: Options, Expression, Node

Version

0.23.3

Operating System

Linux

Interface

Jupyter Notebook

Relevant log output

WARNING: could not import SymbolicRegression.Expression into Main

Extra Info

This also happens when running from script or cli:

julia --project=@my_MLJ_env init.jl
WARNING: could not import SymbolicRegression.Expression into Main
ERROR: LoadError: UndefVarError: `Expression` not defined in `Main`
Stacktrace:
 [1] (::var"#1#2")(i::Int64)
   @ Main ./none:0
 [2] iterate
   @ ./generator.jl:48 [inlined]
 [3] collect(itr::Base.Generator{UnitRange{Int64}, var"#1#2"})
   @ Base ./array.jl:780
 [4] top-level scope
   @ ~/experiments/MLJ_jl/init.jl:8
in expression starting at /home/johnbendi/experiments/MLJ_jl/init.jl:8

Content of init.jl:

options = Options(;
    binary_operators=[+, -, *, /], unary_operators=[cos, exp, sin]
)
operators = options.operators
variable_names = ["x1", "x2", "x3"]
x1, x2, x3 = [Expression(Node(Float64; feature=i); operators, variable_names) for i = 1:3]

tree = cos(x1 - 3.2 * x2) - x1 * x1

[MilesCranmer]

Ah, it's because Expression is only on SymbolicRegression.jl v1.0.0 and up (which are not yet released). To get the beta version of 1.0.0 you can do:

]add SymbolicRegression#master

In the REPL

[johnbendi]

Awesome, thanks!