a library for ML programing created by Samuel Brinkmann
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sam_ml-py-1.3.0.tar.gz.
File metadata
- Download URL: sam_ml-py-1.3.0.tar.gz
- Upload date:
- Size: 20.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
efa1d1288683a4328cc07b8a8b66bf7fbec1cdd1f038c0ffd8055854be4a19ba
|
|
| MD5 |
85feaeddf3604c5f2ef118337365fb7d
|
|
| BLAKE2b-256 |
330b3f5e0dce6c329ccb4a9d36e15b9180ee6797a59f64c4a84cc5c672827648
|
File details
Details for the file sam_ml_py-1.3.0-py3-none-any.whl.
File metadata
- Download URL: sam_ml_py-1.3.0-py3-none-any.whl
- Upload date:
- Size: 20.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef30cfd7020b1276e847d0f769900cab52982c98baf9507b078bd43772cf257c
|
|
| MD5 |
6d504afff4828da381450d736bb7bee0
|
|
| BLAKE2b-256 |
d34fb543745079f3cc2375f35545f48079ba4ad0c84ed3f0a1151efe062a1bc3
|
