https://github.com/pondib/ml-gdalcubes
PoC for ML and DL in gdalcubes library
https://github.com/pondib/ml-gdalcubes
Last synced: 25 days 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 (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-23T00:33:00.000Z (6 months ago)
- Last Synced: 2025-05-19T13:56:56.503Z (about 2 months ago)
- Language: R
- Size: 60.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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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.