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n8n-nodes-clean-data

v0.1.3

Published

8 days ago

A custom n8n node to clean data using Recursive Feature Elimination (RFE) powered by Python.

Downloads

210

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n8n custom-node clean-data data-cleaning RFE feature-selection python n8n-community-node-package

n8n-nodes-clean-data

Overview

This custom node for n8n cleans data by using Recursive Feature Elimination (RFE) powered by Python. It is designed for data preprocessing and feature selection, helping you keep only the most relevant features for your machine learning workflows.

Features

Recursive Feature Elimination (RFE): Uses Logistic Regression and RFE for feature selection.
Customizable: Specify the target column and the number of features to retain.
Flexible Output: Output the cleaned data in JSON format or as a CSV file.
Python Integration: Leverages the power of Python's scikit-learn library for feature selection.

Installation

Clone this repository:

  git clone https://github.com/your-repository/n8n-nodes-clean-data.git
  cd n8n-nodes-clean-data

Install dependencies:

npm install

Build the project:

npm run build

Example Workflow

Input data into the Clean Data by RFE node.
Configure the parameters:
- Target Column: target
- Number of Features: 5
- Output Format: JSON
Use the cleaned data in downstream workflows, such as for machine learning or data analysis.