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https://github.com/alvarag/dropforregression

Instance selection algorithms based on DROP for regression
https://github.com/alvarag/dropforregression

instance-selection machine-learning regression

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Instance selection algorithms based on DROP for regression

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# DROPReg: Drecremental Reduction Optimization Procedure algorithms for Regression

This is an open-source filter for Weka that implements DROP algorithms for regression.

### Cite this software as:
**Á. Arnaiz-González, J-F. Díez Pastor, Juan J. Rodríguez, C. García Osorio.** _Instance selection for regression: Adapting DROP._ Neurocomputing, 201, 66-81. [doi: 10.1016/j.neucom.2016.04.003](https://doi.org/10.1016/j.neucom.2016.04.003)

```
@article{ArnaizGonzalez2016,
title = "Instance selection for regression: Adapting {DROP} ",
journal = "Neurocomputing ",
volume = "201",
number = "",
pages = "66 - 81",
year = "2016",
issn = "0925-2312",
doi = "10.1016/j.neucom.2016.04.003",
author = "\'Alvar Arnaiz-Gonz\'alez and Jos\'e F. D\'iez-Pastor and Juan J. Rodr\'iguez and C\'esar Garc\'ia-Osorio"
}
```

# How to use

## Download and build with ant
- Download source code: It is host on GitHub. To get the sources and compile them we will need git instructions. The specifically command is:
```git clone https://github.com/alvarag/DROPReg.git ```
- Build jar file:
```ant dist_all ```
It generates the jar file under /dist/weka

## How to run

Include the file instanceselection.jar into the path. Example:

```java -cp instanceselection.jar:weka.jar weka.gui.GUIChooser```

The new filter can be found in: weka/filters/supervised/instance.