plot_ipr_pairs: Plot pairs of inverse participation ratios for singular...
In RoheLab/vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
plot_ipr_pairs R Documentation
Plot pairs of inverse participation ratios for singular vectors
Description
When IPR for a given singular vector is O(1) rather than O(1 / sqrt(n)),
this can indicate that the singular vector is localizing on a small
subset of nodes. Oftentimes this localization indicates overfitting.
If you see IPR values that are not close to zero (where "close to zero"
is something you sort of have to pick up over time), then you need
to some further investigation to see if you have localization and that
localization corresponds to overfitting. Note, however, that not all
localization is overfitting.
Usage
plot_ipr_pairs(fa)
Arguments
fa
A vsp_fa() object.
Value
A tibble::tibble() with one row for each node, and one column
containing each of the requested factor or singular vector, plus
an additional id column.
RoheLab/vsp documentation built on Nov. 6, 2024, 10:08 p.m.
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| plot_ipr_pairs | R Documentation |
Plot pairs of inverse participation ratios for singular vectors
Description
When IPR for a given singular vector is O(1) rather than O(1 / sqrt(n)), this can indicate that the singular vector is localizing on a small subset of nodes. Oftentimes this localization indicates overfitting. If you see IPR values that are not close to zero (where "close to zero" is something you sort of have to pick up over time), then you need to some further investigation to see if you have localization and that localization corresponds to overfitting. Note, however, that not all localization is overfitting.
Usage
plot_ipr_pairs(fa)
Arguments
fa |
A |
Value
A tibble::tibble() with one row for each node, and one column
containing each of the requested factor or singular vector, plus
an additional id column.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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