Statwerk
oss openblas linear covariance pushforward
Applies the standard affine propagation of uncertainty: the mean goes through the transform and offset, the covariance through the transform on both sides, and the independent noise covariance is added. This is the prediction step of a Kalman filter and the workhorse of any linear error budget.
POST https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforwardEingaben
| Feld | Typ | Pflicht | Beschreibung |
|---|---|---|---|
| mean | array | Ja | |
| covariance | array | Ja | |
| transform | array | Ja | |
| offset | array | Ja | |
| noise_covariance | array | Ja |
Vollständiges Eingabeschema anzeigen
{
"type": "object",
"properties": {
"mean": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"covariance": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
},
"transform": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
},
"offset": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"noise_covariance": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
}
},
"required": [
"mean",
"covariance",
"transform",
"offset",
"noise_covariance"
],
"additionalProperties": false
}Veröffentlichtes Eingabebeispiel
{
"mean": [
1,
2
],
"covariance": [
[
4,
1
],
[
1,
9
]
],
"transform": [
[
1,
2
],
[
-1,
0
]
],
"offset": [
1,
0
],
"noise_covariance": [
[
1,
0
],
[
0,
4
]
]
}Ergebnis & Dokumentation
Veröffentlichtes Ergebnisschema anzeigen
{
"$ref": "https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward/schema#/outputSchema"
}Veröffentlichtes Ergebnisbeispiel öffnen
Maschinenlesbare Dokumentation dieses Hubs
Quelle dieser Seite: der veröffentlichte HALOWERK-Katalog. Stand: 2026-11-01, 15:19 UTC.
Weitere Endpunkte dieses Hubs
- Statwerk0,005 USDC
carbon intensity
POSThttps://stat.halowerk.com/v1/carbon-intensityReturns carbon dioxide emissions for one or more countries on three bases at once: per inhabitant, per unit of purchasing-power-adjusted output, and in absolute megatonnes, each with its own period and its trend over the requested window. K
- Statwerk0,006 USDC
country macro
POSThttps://stat.halowerk.com/v1/country-macroAssembles a macroeconomic profile of a country from World Bank indicators, and refuses to present it as a snapshot of one year. Official statistics arrive on different schedules: real GDP growth may be current to last year while a labour fo
- Statwerk0,006 USDC
credit cycle
POSThttps://stat.halowerk.com/v1/credit-cycleReports the credit-to-GDP gap for a country, which is the deviation of the credit ratio from its long-run trend and the quantity the Basel framework uses to trigger the countercyclical capital buffer.