mlr3spatial-package {mlr3spatial} | R Documentation |
mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description
Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
Learn mlr3
Book on mlr3: https://mlr3book.mlr-org.com
Use cases and examples gallery: https://mlr3gallery.mlr-org.com
Cheat Sheets: https://github.com/mlr-org/mlr3cheatsheets
mlr3 extensions
Preprocessing and machine learning pipelines: mlr3pipelines
Analysis of benchmark experiments: mlr3benchmark
More classification and regression tasks: mlr3data
Solid selection of good classification and regression learners: mlr3learners
Even more learners: https://github.com/mlr-org/mlr3extralearners
Tuning of hyperparameters: mlr3tuning
Hyperband tuner: mlr3hyperband
Visualizations for many mlr3 objects: mlr3viz
Survival analysis and probabilistic regression: mlr3proba
Cluster analysis: mlr3cluster
Feature selection filters: mlr3filters
Feature selection wrappers: mlr3fselect
Interface to real (out-of-memory) data bases: mlr3db
Performance measures as plain functions: mlr3measures
Suggested packages
Package Options
-
"mlr3.debug"
: If set toTRUE
, parallelization via future is disabled to simplify debugging and provide more concise tracebacks. Note that results computed with debug mode enabled use a different seeding mechanism and are not reproducible. -
"mlr3.allow_utf8_names"
: If set toTRUE
, checks on the feature names are relaxed, allowing non-ascii characters in column names. This is an experimental and temporal option to pave the way for text analysis, and will likely be removed in a future version of the package. analysis.
Author(s)
Maintainer: Marc Becker marcbecker@posteo.de (ORCID)
Authors:
Patrick Schratz patrick.schratz@gmail.com (ORCID)
References
Becker M, Schratz P (2024). mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem. https://mlr3spatial.mlr-org.com, https://github.com/mlr-org/mlr3spatial.
See Also
Useful links:
Report bugs at https://github.com/mlr-org/mlr3spatial/issues