shape_explained_variance — SHAPESTAT model op

• Data kinds: shapemodel → signal

• Call: import shapestats; shapestats.shape_explained_variance(model) (or opsshapestat.get("shape_explained_variance"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

各主成分の寄与率(合計 1)。→ `(k,)`。

Detailed usage guide

• shape_statistics family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept signal as input)

shape_reconstruct

Same category (model)

shape_pca · shape_project · shape_reconstruct · shape_mahalanobis · shape_synthesize

*Provenance: shapestats.py — SHAPESTAT operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.