A library for creating machine learning ensembles.
Project description
Python Machine Learning Ensemble
A library used to create and manage adaptable machine learning ensembles in Python.
The ensemble is intended to use deep learning models as the models. However, rather than including these models with the package there are ANN and LSTM models in the provided examples (examples/models/). This was to remove the package's dependency on the tensorflow package since many ensembles can be created without this package. There are some other, smaller dependencies still to make the Ensemble usable out of the box.
Under Construction
The initial version of PyML Ensemble is currently being developed. Feel free to use and contribute to the project but don't expect too much functionality. Additionally, the PyPi package has not been released yet.
Project details
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
File details
Details for the file pyml_ensemble-0.1.2.tar.gz
.
File metadata
- Download URL: pyml_ensemble-0.1.2.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.5rc1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ac1eed8c216dedf7156ddf456b15cb1f3fcfd245a9b25f4ccd0765810a319444 |
|
MD5 | 6396218a878f0454cb8bd40650411df5 |
|
BLAKE2b-256 | cd3b73e7da01c46d234cd68d1db2471af7acf1954a65d32bdbf68106d4f03cdb |