trend_predict

trend_predict(tr, index)

Evaluate a trend model.

Builds the trend model named by tr (a :class:corehydropy.models.Trend) from its own class defaults, then evaluates it at index. tr.parameter (which distribution parameter the trend attaches to) is not used here – this evaluates the trend model on its own, the same way the model-attachment path’s type dispatch does before it further data-drives the parameter values from a live model’s distribution and data (this function has no such model to consult, so a tr with no explicit values predicts from the trend’s own zero-valued class defaults).

Parameters

Name	Type	Description	Default
tr	corehydropy.models.Trend	From :func:corehydropy.models.trend.	required
index	array_like	1-based time indices to evaluate at.	required

Returns

Name	Type	Description
	numpy.ndarray

Examples

>>> from corehydropy import trend, trend_predict
>>> tr = trend("location", "Linear", start_index=0, values=[10, 2])
>>> trend_predict(tr, [1, 2, 3, 4, 5])
array([10., 12., 14., 16., 18.])