mvlearn: Multiview Machine Learning in Python

05/25/2020
by   Ronan Perry, et al.
58

As data are generated more and more from multiple disparate sources, multiview datasets, where each sample has features in distinct views, have ballooned in recent years. However, no comprehensive package exists that enables non-specialists to use these methods easily. mvlearn, is a Python library which implements the leading multiview machine learning methods. Its simple API closely follows that of scikit-learn for increased ease-of-use. The package can be installed from Python Package Index (PyPI) or the conda package manager and is released under the Apache 2.0 open-source license. The documentation, detailed tutorials, and all releases are available at https://mvlearn.neurodata.io/.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/06/2022

hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms

Hyperbox-based machine learning algorithms are an important and popular ...
research
03/21/2018

Seglearn: A Python Package for Learning Sequences and Time Series

Seglearn is an open-source python package for machine learning time seri...
research
02/25/2020

CausalML: Python Package for Causal Machine Learning

CausalML is a Python implementation of algorithms related to causal infe...
research
03/30/2020

QRMine: A python package for triangulation in Grounded Theory

Grounded theory (GT) is a qualitative research method for building theor...
research
11/18/2022

Novelpy: A Python package to measure novelty and disruptiveness of bibliometric and patent data

Novelpy (v1.2) is an open-source Python package designed to compute bibl...
research
10/18/2021

pygrank: A Python Package for Graph Node Ranking

We introduce pygrank, an open source Python package to define, run and e...
research
04/04/2023

Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python

The is an open-source library for flexible, fast choice modeling with P...

Please sign up or login with your details

Forgot password? Click here to reset