Examples gallery
Documentation API
Here you will find all the examples related to museotoolbox library.
museotoolbox
Examples related to the museotoolbox.ai module.
museotoolbox.ai
Sequential Forward Feature Selection (SFFS)¶
Learn with Random-Forest and compare Cross-Validation methods¶
Learn with Random-Forest and Random Sampling 50% (RS50)¶
Learn algorithm and customize your input raster without writing it on disk¶
Examples related to the museotoolbox.charts module.
museotoolbox.charts
Plot confusion matrix¶
Plot confusion matrix from Cross-Validation with F1¶
Plot confusion matrix with User/Producer accuracy¶
Examples related to the museotoolbox.cross_validation module.
museotoolbox.cross_validation
Stratified-K-Fold¶
Leave-One-SubGroup-Out (LOSGO)¶
Spatial Leave-One-Out (SLOO)¶
Spatial Leave-One-SubGroup-Out (SLOSGO)¶
Generate a cross-validation and/or save each fold to a vector file¶
Leave-P-SubGroup-Out (LPSGO)¶
Spatial Leave-Aside-Out (SLAO)¶
Leave One Out Per Class (LOOPC)¶
Examples related to the dedicated raster and vector museotoolbox.processing module.
museotoolbox.processing
Raster mask from vector¶
Read fields from vector¶
Extract raster values from vector file¶
Basics to use rasterMath¶
Copy raster values in vector fields then read vector¶
Modal class and number of agreements¶
rasterMath with custom block size, mask, and in 3 dimensions¶
rasterMath with several rasters as inputs¶
Using rasterMath with 3d block or 2d block¶
rasterMath with custom window/block size (and with 3 dimensions)¶
Examples related to the museotoolbox.stats module.
museotoolbox.stats
Compute quality index from confusion matrix¶
Compute Moran’s I with different lags from raster¶
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