{"slug":"stat-halowerk-com-v1-oss-openblas-low-rank-matrix-compress-3eba1f","title":"Factors a matrix into rank-k left and right factors with their singular values, ","host":"stat.halowerk.com","method":"POST","resource":"https://stat.halowerk.com/v1/oss-openblas-low-rank-matrix-compress","category":"other","description":"Factors a matrix into rank-k left and right factors with their singular values, optionally centering the columns first, and states what the compression actually cost: the Frobenius reconstruction error against the input and the fraction of spectral energy retained. The full spectrum comes back too, ","price_listed":0.002,"price_asked":0.002,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":892,"reported_calls_30d":2,"reported_payers_30d":2,"networks":["eip155:8453"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"center_columns":false,"matrix":[[3,0],[0,2],[0,0]],"rank":1},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"center_columns":{"type":"boolean"},"matrix":{"items":{"items":{"maximum":1000000,"minimum":-1000000,"type":"number"},"maxItems":128,"minItems":1,"type":"array"},"maxItems":128,"minItems":1,"type":"array"},"rank":{"maximum":128,"minimum":1,"type":"integer"}},"required":["matrix","rank","center_columns"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-10-24","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.002,"price_match":true,"latency_ms":892,"error":null}],"description_full":"Factors a matrix into rank-k left and right factors with their singular values, optionally centering the columns first, and states what the compression actually cost: the Frobenius reconstruction error against the input and the fraction of spectral energy retained. The full spectrum comes back too, so a caller can pick a different k without a second call. With centering enabled this is principal component analysis, and the column means are returned as part of the model.","last_updated":"2026-10-23T07:35:47.197Z","schemes":["exact"]}