I am trying to install Julia dependencies for PYSR and I am getting following message . HOW DO I RESOLVE THIS?
JuliaError: Exception ‘GitError(Code:ERROR, Class:SSL, Your Julia is built with a SSL/TLS engine that libgit2 doesn’t know how to configure to use a file or directory of certificate authority roots, but your environment specifies one via the SSL_CERT_FILE variable. If you believe your system’s root certificates are safe to use, you can export JULIA_SSL_CA_ROOTS_PATH="" in your environment to use those instead.)’ occurred while calling julia code:
Pkg.add([sr_spec, clustermanagers_spec], io=stderr)
Well, from my personal point of view Python on Windows is a nightmare… That’s why I am using Julia on Linux… No such problems. But I understand that you cannot use pure Julia if you want to use PySR…
Hello. I am trying to run PySR and getting the same error mentioned in this threat
julia.core.JuliaError: Exception ‘failed to clone from GitHub - MilesCranmer/SymbolicRegression.jl: Distributed High-Performance Symbolic Regression in Julia, error: GitError(Code:ERROR, Class:SSL, Your Julia is built with a SSL/TLS engine that libgit2 doesn’t know how to configure to
use a file or directory of certificate authority roots, but your environment specifies one via the SSL_CERT_FILE variable. If you believe your system’s root certificates are safe to use, you can export JULIA_SSL_CA_ROOTS_PATH="" in your environment to use those instead.)’ occurred while calling julia code:
Pkg.add([sr_spec, clustermanagers_spec], io=stderr)
As Ive read, the solution was found when running pip install pysr, but that is not working for me since when I do this I get that all the requirements are already satisfied.
When I run again, I get the same message
julia.core.JuliaError: Exception ‘failed to clone from GitHub - MilesCranmer/SymbolicRegression.jl: Distributed High-Performance Symbolic Regression in Julia, error: GitError(Code:ERROR, Class:SSL, Your Julia is built with a SSL/TLS engine that libgit2 doesn’t know how to configure to
use a file or directory of certificate authority roots, but your environment specifies one via the SSL_CERT_FILE variable. If you believe your system’s root certificates are safe to use, you can export JULIA_SSL_CA_ROOTS_PATH="" in your environment to use those instead.)’ occurred while calling julia code:
Pkg.add([sr_spec, clustermanagers_spec], io=stderr)
Also, as Miles Crammer suggested in a Githbs issue /
I think you could get around this by running the following in the Julia REPL. First, hit ] to turn on Pkg mode. Then,
✗ SymbolicRegression
65 dependencies successfully precompiled in 54 seconds. 10 already precompiled.
7 dependencies errored.
For a report of the errors see julia> err. To retry use pkg> precompile
Failed to precompile SymbolicRegression [8254be44-1295-4e6a-a16d-46603ac705cb] to “C:\Users\81080758\.julia\compiled\v1.10\SymbolicRegression\jl_CCF2.tmp”.