EnMAP-Box 3 Logo

General

  • About
  • FAQ & Troubleshooting
  • How to contribute
  • Roadmap
  • Glossary

User Section

  • Installation
  • Getting Started
  • Cookbook
  • User Manual
    • The GUI
    • Tools
    • Applications
    • Earth Observation for QGIS (EO4Q)
    • Example Data
    • Processing Algorithms
      • Auxilliary
      • Classification
      • Clustering
      • Convolution, morphology and filtering
      • Dataset creation
      • Export data
      • Feature selection
      • Import data
      • Masking
      • Raster analysis
      • Raster conversion
      • Raster miscellaneous
      • Raster projections
      • Regression
        • Fit CatBoostRegressor
        • Fit GaussianProcessRegressor
        • Fit generic regressor
        • Fit KernelRidge
        • Fit LGBMRegressor
        • Fit LinearRegression
        • Fit LinearSVR
        • Fit PLSRegression
        • Fit RandomForestRegressor
        • Fit SVR (polynomial kernel)
        • Fit SVR (RBF kernel)
        • Fit XGBRegressor
        • Fit XGBRFRegressor
        • Predict regression layer
        • Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves
        • Regression layer accuracy report
        • Regression workflow
        • Regressor performance report
        • Spectral Index Optimizer
      • Spectral resampling
      • Transformation
      • Unmixing
      • Vector conversion
      • Vector creation
    • Metadata Guide
  • EnMAP Data
  • Application Tutorials

Developer Section

  • Installation
  • EnMAP-Box repository
  • Build and publish the EnMAP-Box
  • Cookbook
  • Tutorials
  • RFC
  • Documentation Guidelines
  • EnMAP-Box Icons
EnMAP-Box 3
  • User Manual
  • Processing Algorithms
  • Regression
  • Edit on GitHub

Regression

  • Fit CatBoostRegressor
  • Fit GaussianProcessRegressor
  • Fit generic regressor
  • Fit KernelRidge
  • Fit LGBMRegressor
  • Fit LinearRegression
  • Fit LinearSVR
  • Fit PLSRegression
  • Fit RandomForestRegressor
  • Fit SVR (polynomial kernel)
  • Fit SVR (RBF kernel)
  • Fit XGBRegressor
  • Fit XGBRFRegressor
  • Predict regression layer
  • Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves
  • Regression layer accuracy report
  • Regression workflow
  • Regressor performance report
  • Spectral Index Optimizer
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© Copyright 2018-2024, Andreas Janz, Benjamin Jakimow, Fabian Thiel, Aryan Goswarmi, Sebastian van der Linden, Patrick Hostert. Revision 15:21:21.

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Sidebar image credits: ESA adapted-Amsterdam, ESA adapted-Uruguay River wetlands, EUSI/ESA adapted-Algerian Sands, ESA adapted-Kenya, Tanzania, Uganda | CC BY-SA 3.0 IGO