You can install ValidMind from CRAN:
install.packages("validmind")
You can also install the package from GitHub using the
devtools
package:
::install_github("validmind/developer-framework", subdir="r/validmind") devtools
Or you can install the package from source. Ensure you are in the
r/validmind
directory:
::install() devtools
You can connect to your ValidMind profile by providing the appropriate credentials:
<- vm(
vm_r api_key="<your_api_key_here>",
api_secret="<your_api_secret_here>",
model="<your_model_id_here>",
python_version="<path_to_your_python_version_here>",
api_host="https://api.prod.validmind.ai/api/v1/tracking"
)
Please see the notebooks/code-sharing/r
folder for
examples of how to use!
When calling vm()
you might see the following error:
OSError: dlopen(/Users/user/validmind-sdk/.venv/lib/python3.11/site-packages/llvmlite/binding/libllvmlite.dylib, 0x0006): Library not loaded: @rpath/libc++.1.dylib
Referenced from: <F814708F-6874-3A38-AD06-6C06514419D4> /Users/user/validmind-sdk/.venv/lib/python3.11/site-packages/llvmlite/binding/libllvmlite.dylib
Reason: tried: '/Library/Frameworks/R.framework/Resources/lib/libc++.1.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk-11.0.18+10/Contents/Home/lib/server/libc++.1.dylib' (no such file), '/var/folders/c4/typylth55knbkn7qjm8zd0jr0000gn/T/rstudio-fallback-library-path-492576811/libc++.1.dylib' (no such file)
This is typically due to the libc++
library not being
found but it’s possible that is already installed and R cannot find it.
You can solve this by finding the path to the library and creating a
symlink to it.
# Find the path to libc++.1.dylib. This can return multiple results.
sudo find / -name "libc++.1.dylib" 2>/dev/null
If you are using Homebrew, the command above will return a path like
/opt/homebrew/Cellar/llvm/...
. You can create a symlink to
the library by running the following command:
sudo ln -s <path_to_libc++.1.dylib> /Library/Frameworks/R.framework/Resources/lib/libc++.1.dylib
Note that the target argument in the path of libc++
that
R was trying to find.
After creating the symlink, you can try calling vm()
again.
You might also see the following error when initializing vm():
Error in py_module_import(module, convert = convert) :
ImportError: cannot import name 'NumbaTypeError' from partially initialized module 'numba.core.errors' (most likely due to a circular import) (/Users/user/validmind-sdk/.venv/lib/python3.11/site-packages/numba/core/errors.py)
To fix this, you can reinstall Numba:
pip install -U numba
And restart the R session.