Scalar FunctionsSeries Functions
series_decompose_forecast
Extend a numeric time series forward by `points` samples by decomposing into trend + seasonal components and extrapolating both.
Syntax
series_decompose_forecast(series, points, seasonality, trend, seasonality_threshold)Parameters
Prop
Type
Given a dynamic field
This parameter is string-only. In permissive mode — the default — almost every field arrives as a dynamic, so passing one works because Berserk injects asstring: extract-or-null, the value when it really is a string and null otherwise, so the call yields null (a predicate yields false). A property bag or array is therefore not matched, and tostring() is never applied implicitly — use it explicitly to match a bag's JSON text, keys included. Strict mode rejects the dynamic instead of coercing it. See String coercion and the asXXX family.
Returns: dynamic
Examples
Example 1
print series_decompose_forecast(
dynamic([1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 1.0, 2.0, 3.0]),
3,
3
)| print_0 (dynamic) |
|---|
| [1.0,2.0,3.0] |