reservoir op• Data kinds: conn_graph → conn_graph
• Call: import fullseye as fs; fs.ledger.reservoir_from_graph(W: 'Any', rho: 'float' = 0.9) -> 'np.ndarray' (to call the implementation directly, import conngraph; conngraph.reservoir_from_graph(W: 'Any', rho: 'float' = 0.9) -> 'np.ndarray'; from the registry, opsconngraph.get("reservoir_from_graph"))
> This operator's description has not been translated yet. The original text follows as it is.
W をスペクトル半径が rho になるように定数倍した conn_graph(echo state の前処理)。半径 0 は拒否。
• 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.
• poc_larval_connectome_reservoir — py -3.11 examples/poc_larval_connectome_reservoir.py
• poc_malecns_activity_wave — py -3.11 examples/poc_malecns_activity_wave.py
conn_graph as input)graph_degree_preserving_shuffle · graph_binarize · graph_degree_table · graph_clustering_coefficient · graph_betweenness · graph_laplacian_spectrum · graph_spectral_radius · graph_components
reservoir)reservoir_states · reservoir_encode · ridge_readout · ridge_predict
*Provenance: conngraph.py — CONNGRAPH 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.