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Getting started

  • Installation instructions
    • Requirements
    • Installation
      • Environment setup
        • CPU only
        • GPU
      • Install dependencies
      • Known Installation Issues
      • Additional Installation for Windows Users
  • Project structure

Tutorials

  • Data Preprocessing - convert to WGMS format
    • Foreword
      • Purpose
      • Process
    • Transform your Dataset to the WGMS Format
      • Reshaping the dataset to WGMS-format
      • Reproject Coordinates to WGS84 Coordinate Reference System
  • Data preparation
    • 1. Load your Target Surface Mass Balance Dataset and Retrieve RGI ID per Stake
      • 1.1 Match the Stake Measurements with a RGI ID
    • 2. Get Topographical Features per Stake Measurement
    • 3. Get Meteorological Features per Stake Measurement
      • 3.1. Manually download ERA5 data
      • 3.2. Automatically download ERA5 data using the CDSAPI
    • 4. Transform Data to Monthly Time Resolution
  • Data Exploration
    • 1. Plot the Point Surface Mass Balance for all Available Stakes
    • 2. Plot the Cumulative Region-Wide Surface Mass Balance
  • XGBoost Model Training
    • 1. Create the train and test datasets and the data splits for Cross Validation
    • 2. Create a CustomXGBoostRegressor model
    • 3. Training
      • 3.1 Save the trained model
      • 3.2 Show the predictions
      • 3.3 Show the predictions per glacier
  • Neural Network Model Training
    • 1. Create the train and test datasets
    • 2. Create a CustomNeuralNetRegressor model
      • Create datasets
    • 3. Training
      • 3.1. With hyper-parameters tuning
      • 3.2. Standard training without hyper-parameters tuning
      • 3.1. Show the predictions
      • 3.2 Show the predictions per glacier
      • 3.3. Make cumulative predictions

Project information

  • Support and help
    • How to get help
    • What NOT to do
  • Project Roadmap
  • Contributing
    • How to contribute?
    • Developing locally
    • Formatting the code

API

  • API
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