SAM_ML

a library created by Samuel Brinkmann

getting started (with SMAC3 library)

0. pre-installations (needed for smac library)

You need to install swig for the smag library that is used for hyperparameter tuning.

Linux (see smac installation guide):

apt-get install swig

MacOS (with homebrew):

brew install swig

Windows (see swigwin)

1. install the package to your activated virtual environment (python version 3.10 and higher is needed)

pip install "sam-ml-py[with_swig]"

getting started (without SMAC3 library)

1. install the package to your activated virtual environment (python version 3.10 and higher is needed)

pip install sam-ml-py

start using it

2. now you can import the package, e.g.:

from sam_ml.models.classifier import RFC

RandomForestClassifier = RFC()

--> Look into the docs of the repo for more information.