# feature-selector

**Repository Path**: sunmingyang1987/feature-selector

## Basic Information

- **Project Name**: feature-selector
- **Description**: Feature selector is a tool for dimensionality reduction of machine learning datasets
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-04
- **Last Updated**: 2020-12-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Feature Selector: Simple Feature Selection in Python

Feature selector is a tool for dimensionality reduction of machine learning datasets.

# Methods

There are five methods used to identify features to remove:

1. Missing Values
2. Single Unique Values
3. Collinear Features
4. Zero Importance Features
5. Low Importance Features 

## Usage

Refer to the [Feature Selector Usage notebook](https://github.com/WillKoehrsen/feature-selector/blob/master/Feature%20Selector%20Usage.ipynb) for how to use

## Visualizations

The `FeatureSelector` also includes a number of visualization methods to inspect 
characteristics of a dataset. 

__Correlation Heatmap__

![](images/example_collinear_heatmap.png)

__Most Important Features__

![](images/example_top_feature_importances.png)

Requires:

```
python==3.6+
lightgbm==2.1.1
matplotlib==2.1.2
seaborn==0.8.1
numpy==1.14.5
pandas==0.23.1
scikit-learn==0.19.1

```

## Contact

Any questions can be directed to wjk68@case.edu!