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url: https://themis.tidymodels.org
template:
package: tidytemplate
bootstrap: 5
bslib:
primary: "#CA225E"
includes:
in_header: |
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<script async src="https://plausible.io/js/pa-iRPZwdy8p-n7xYPq_6hNJ.js"></script>
<script>
window.plausible=window.plausible||function(){(plausible.q=plausible.q||[]).push(arguments)},plausible.init=plausible.init||function(i){plausible.o=i||{}};
plausible.init()
</script>
development:
mode: auto
articles:
- title: Getting started
navbar: ~
contents:
- articles/ratio
- articles/methods-overview
- articles/common-pitfalls
reference:
- title: Over-sampling
desc: >
**Over-sampling** is the act of synthetically generating observations for
the minority classes, either by random replication or by more advanced
methods that synthesize new observations.
- subtitle: Random replication
contents:
- step_upsample
- subtitle: SMOTE family
contents:
- step_smote
- step_bsmote
- step_svmsmote
- step_kmeans_smote
- step_smotenc
- step_smoten
- subtitle: Adaptive
contents:
- step_adasyn
- subtitle: Smoothed bootstrap
contents:
- step_rose
- title: Under-sampling
desc: >
**Under-sampling** is the act of removing observations from the majority
classes. Most under-samplers here use *prototype selection*, keeping a
subset of the real rows. `step_cluster_centroids()` instead uses *prototype
generation*, creating new representative rows.
- subtitle: Random
contents:
- step_downsample
- subtitle: Distance / near-boundary
contents:
- step_nearmiss
- step_tomek
- step_cnn
- step_oss
- subtitle: Neighborhood cleaning
contents:
- step_enn
- step_ncl
- subtitle: Hardness
contents:
- step_instance_hardness
- subtitle: Prototype generation
contents:
- step_cluster_centroids
- title: Regression
desc: >
Resampling an imbalanced numeric outcome rather than a class.
contents:
- step_smogn
- title: Methods
desc: >
Some of the methods implemented in this package as steps are also
available as their own functions.
contents:
- smote
- smogn
- smotenc
- smoten
- bsmote
- svmsmote
- kmeans_smote
- adasyn
- rose
- cluster_centroids
- cnn
- enn
- instance_hardness
- ncl
- nearmiss
- oss
- tomek
- title: Datasets
contents:
- circle_example
- title: Developer tools
contents:
- required_pkgs.step_adasyn