Time series
Package: InfrastructureTimeSeriesOpenAPIModels · Depends on: InfrastructureCoreOpenAPIModels
Time series associations: the six canonical time series types defined by the upstream data layer and their metadata, without the dense values
Types
| Type | Description |
|---|---|
Deterministic | A deterministic forecast: one horizon-length array per window, windows stepping by interval. |
DeterministicSingleTimeSeries | A synthetic deterministic forecast derived from a SingleTimeSeries by transform_single_time_series. |
ElementType | Canonical element type of the stored array: a dtype spelling (f64, f32, i64, i32, u64, u32, u16, u8, i16, i8, bool) for plain scalars, else tuple(N,dtype) or a function-data kind (linear_function, quadratic_function, piecewise_linear, piecewise_step). |
NonSequentialTimeSeries | An irregular static time series, sampled at explicit timestamps rather than on a grid. |
OwnerCategory | Whether a time series’ owner is a component or a supplemental attribute. |
Period | A time period as an ISO-8601 duration string, used for resolution, horizon, and interval. |
Probabilistic | A probabilistic forecast: per-percentile, per-window horizon arrays. |
Scenarios | A scenarios forecast: per-scenario, per-window horizon arrays. |
SingleTimeSeries | A static time series on a regular grid: values at initial_timestamp + k * resolution. |
TimeReference | How a series’ timestamps were spelled, recorded so a read hands back what the write declared instead of relabelling every series UTC. |
TimeSeriesAssociation | Metadata linking one time series to the component or supplemental attribute that owns it — the JSON form of a row in the store’s time_series_associations catalog table. |
TimeSeriesFeatureValue | One feature value. |
TimeSeriesFeatures | User-defined key/value tags forming part of a series’ identity. |