SAM_ML
a library created by Samuel Brinkmann
getting started (with SMAC3 library)
- 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)
- 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)
- install the package to your activated virtual environment (python version 3.10 and higher is needed)
pip install sam-ml-py
start using it
- 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.
1 maintainer
Metadata
1 maintainer
Release files for sam-ml-py 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sam_ml-py-1.3.0.tar.gz | 20.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sam_ml_py-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.7 MB
Release files / sam_ml-py-1.3.0.tar.gz
| Download URL | sam_ml-py-1.3.0.tar.gz |
|---|---|
| Size | 20.8 MB |
| Tags | Source |
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Release files / sam_ml_py-1.3.0-py3-none-any.whl
| Download URL | sam_ml_py-1.3.0-py3-none-any.whl |
|---|---|
| Size | 20.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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