HALOWERKStatwerk
oss openblas low rank matrix compress
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.
POST https://stat.halowerk.com/v1/oss-openblas-low-rank-matrix-compressEingaben
| Feld | Typ | Pflicht | Beschreibung |
|---|---|---|---|
| matrix | array | Ja | |
| rank | integer | Ja | |
| center_columns | boolean | Ja |
Vollständiges Eingabeschema anzeigen
{
"type": "object",
"properties": {
"matrix": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
},
"rank": {
"type": "integer",
"minimum": 1,
"maximum": 128
},
"center_columns": {
"type": "boolean"
}
},
"required": [
"matrix",
"rank",
"center_columns"
],
"additionalProperties": false
}Veröffentlichtes Eingabebeispiel
{
"matrix": [
[
3,
0
],
[
0,
2
],
[
0,
0
]
],
"rank": 1,
"center_columns": false
}Ergebnis & Dokumentation
Veröffentlichtes Ergebnisschema anzeigen
{
"$ref": "https://stat.halowerk.com/v1/oss-openblas-low-rank-matrix-compress/schema#/outputSchema"
}Veröffentlichtes Ergebnisbeispiel öffnen
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