https://github.com/pondib/ml-gdalcubes

PoC for ML and DL in gdalcubes library
https://github.com/pondib/ml-gdalcubes

Last synced: about 2 months ago
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PoC for ML and DL in gdalcubes library

• Host: GitHub
• URL: https://github.com/pondib/ml-gdalcubes
• Owner: PondiB
• License: mit
• Created: 2024-07-03T07:46:03.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-10-20T18:31:47.000Z (3 months ago)
• Last Synced: 2024-10-20T22:57:29.397Z (3 months ago)
• Language: R
• Size: 45.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning-gdalcubes PoC

Welcome to the ml-gdalcubes PoC repository! This project is a proof-of-concept (PoC) exploring the use of machine learning (ML) techniques with the GDALCubes R library.

## Overview

This repository showcases the integration of classical and deep learning models with the GDALCubes library for both classification and regression tasks.

## Machine Learning Models

### Classical ML Models

1. **Random Forest**

2. **Support Vector Machine (SVM)**

3. **XGBoost**

These models will be used for both classification and regression tasks.

### Deep Learning Models

1. **Convolutional Neural Network (CNN)**

2. **Temporal Convolutional Neural Network (TempCNN)**

3. **Convolutional Long Short-Term Memory (ConvLSTM)**

These models will focus on classification tasks.

## Getting Started

### Prerequisites

Ensure you have the following installed:

- R (version 4.0 or later)

- GDALCubes R library

- Required R packages for ML (e.g., caret, randomForest, e1071, xgboost, keras)

## License

This project is licensed under the MIT License - see the LICENSE file for details.