MERCS
MERCS stands for multi-directional ensembles of classification and regression trees. It is a novel ML-paradigm under active development at the DTAI-lab at KU Leuven.
Installation
Easy via pip;
pip install mercs
Website
Our (very small) website can be found here.
Tutorials
Cf. the quickstart section of the website.
Code
MERCS is fully open-source cf. our github-repository
Publications
MERCS is an active research project, hence we periodically publish our findings;
MERCS: Multi-Directional Ensembles of Regression and Classification Trees
Abstract Learning a function f(X) that predicts Y from X is the archetypal Machine Learning (ML) problem. Typically, both sets of attributes (i.e., X,Y) have to be known before a model can be trained. When this is not the case, or when functions f(X) that predict Y from X are needed for varying X and Y, this may introduce significant overhead (separate learning runs for each function). In this paper, we explore the possibility of omitting the specification of X and Y at training time altogether, by learning a multi-directional, or versatile model, which will allow prediction of any Y from any X. Specifically, we introduce a decision tree-based paradigm that generalizes the well-known Random Forests approach to allow for multi-directionality. The result of these efforts is a novel method called MERCS: Multi-directional Ensembles of Regression and Classification treeS. Experiments show the viability of the approach.
Authors Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
Open Access A pdf version can be found at AAAI-publications
People
People involved in this project:
- Elia Van Wolputte
- Evgeniya Korneva
- Prof. Hendrik Blockeel
Release files for mercs 0.0.50
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| mercs-0.0.50.tar.gz | 40.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mercs-0.0.50-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.7 kB
Release files / mercs-0.0.50.tar.gz
| Download URL | mercs-0.0.50.tar.gz |
|---|---|
| Size | 40.7 kB |
| Tags | Source |
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Release files / mercs-0.0.50-py3-none-any.whl
| Download URL | mercs-0.0.50-py3-none-any.whl |
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| Size | 51.0 kB |
| Tags | Python 3 |
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