https://github.com/yuanjie-ai/featureselector

Feature selector is a tool for dimensionality reduction of machine learning datasets.
https://github.com/yuanjie-ai/featureselector

Last synced: about 2 months ago
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Feature selector is a tool for dimensionality reduction of machine learning datasets.

• Host: GitHub
• URL: https://github.com/yuanjie-ai/featureselector
• Owner: yuanjie-ai
• License: gpl-3.0
• Created: 2019-03-15T07:11:12.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-06-17T22:43:23.000Z (12 months ago)
• Last Synced: 2025-04-11T08:43:18.085Z (about 2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.05 MB
• Stars: 19
• Watchers: 4
• Forks: 3
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Feature Selector: Simple Feature Selection in Python

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

---

# **Install**

```

pip install feature_selector

```

# 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 [email protected]!