# GAMLSSPrediction


Result of [GAMLSS.predict()](GAMLSS.md#whittaker.GAMLSS.predict).


Usage

``` python
GAMLSSPrediction(
    values,
    linear_predictors,
    se=None,
)
```


Holds, for every distributional parameter in the fitted [GAMLSSFamily](GAMLSSFamily.md#whittaker.GAMLSSFamily), the predicted value on the response scale ([values](TermsPredictionResult.md#whittaker.TermsPredictionResult.values)), the corresponding linear predictor (`linear_predictors`), and optionally the standard error of that linear predictor (`se`). Because a GAMLSS estimates several parameters at once (for example `mu` and `sigma` of a location-scale family), the results are keyed by parameter name rather than returned as a single array.


## Attributes


`values: dict[str, NDArray]`  
Dict mapping parameter names to predicted values on the response scale, i.e. `theta = g^{-1}(eta)` for each parameter's link function `g`.

`linear_predictors: dict[str, NDArray]`  
Dict mapping parameter names to predicted linear predictors `eta = X @ beta` (plus any offset).

`se: dict[str, NDArray] | None`  
Dict mapping parameter names to standard errors on the linear predictor scale, or `None` if `se=False` was passed to `predict()`.