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multidimensional-profiles

multidimensional-profiles

Route multidimensional matrix-profile, subspace, and MDL requests.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

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name: multidimensional-profiles description: "Route multidimensional matrix-profile, subspace, and MDL requests." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Multidimensional Profiles

Use this sub-skill for multidimensional matrix profiles, dimension ranking, and subspace selection.

Route here when

  • The input is a multidimensional series with shape (d, n) and d > 1.
  • The user wants mstump, maamp, multi_distance_profile, subspace, or mdl.
  • The user needs to interpret row-wise profile output or an include-constrained search.
  • The user wants to hand off a multidimensional profile to mmotifs or aamp_mmotifs.

Route away when

  • Route 1-D matrix-profile basics, dtype checks, or window-size setup to matrix-profile-basics.
  • Route Dask distributed mstumped / maamped setup or GPU backend setup to distributed-gpu-acceleration.
  • Route general motif, anomaly, or segmentation interpretation after profiling to motifs-anomalies-segmentation.

Operating rules

  1. Treat rows as dimensions and columns as time.
  2. Keep the array in float64 form before calling STUMPY.
  3. Use mstump for normalized distances and maamp for non-normalized distances.
  4. Keep include and discords consistent across profile, subspace, MDL, and motif handoff calls.
  5. Read row k in P / I as the (k + 1)-dimensional profile.
  6. Use np.argmin(P, axis=1) for motifs and np.argmax(P, axis=1) for discords.
  7. Use mmotifs / aamp_mmotifs only after the dimension choice is settled and only with motif-oriented profiles.

Fast path

  • Confirm the layout and dtype.
  • Compute P, I = stumpy.mstump(...) or P, I = stumpy.maamp(...).
  • Inspect P.shape and I.shape; both should be (d, n - m + 1).
  • Pick candidate subsequences row-wise.
  • Inspect a single query window with multi_distance_profile if one row needs debugging.
  • Use mdl or subspace to choose the dimensions.
  • Hand off to mmotifs or aamp_mmotifs only when you need the motif-match layer.

Bundled files

  • references/api-reference.md
  • references/workflows.md
  • references/troubleshooting.md
  • scripts/multidim_smoke.py
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