MIML Learning Library
Project description
miml: Multi Instance Multi Label Learning Library for Python
The aim of the library is to ease the development, testing and comparison of classification algorithms for multi-instance multi-label learning (MIML).
Table of Contents
Installation
Use the package manager pip to install miml.
$ pip install mimllearning
Requirements
The requirement packages for miml library are: numpy, scikit-learn, scipy, mil, tensorflow and keras. Installing miml with the package manager does not install the package dependencies. So install them with the package manager manually if not already downloaded.
$ pip install numpy
$ pip install scikit-learn
$ pip install scipy
$ pip install mil
$ pip install tensorflow
$ pip install keras==2.12.0
License
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
mimllearning-0.2.25.tar.gz
(988.3 kB
view hashes)
Built Distribution
mimllearning-0.2.25-py3-none-any.whl
(774.2 kB
view hashes)
Close
Hashes for mimllearning-0.2.25-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 27626ab62e4f84ddbd8176b6fea4c6d16b43c2cfa4274b5d0d997bc61e4b3343 |
|
MD5 | a8c44bb36a649d21f2e7a04a3066e902 |
|
BLAKE2b-256 | d6761484076cbe988e2c943bea4b5a2ed54a6c7b9305f6601789c8ff0a3974ee |