eelbrain.BoostingResult.cross_predict¶
-
BoostingResult.
cross_predict
(x=None, ds=None, name=None)¶ Predict responses to
x
using complementary training data- Parameters
x (
Union
[NDVar
,str
,Sequence
[Union
[NDVar
,str
]],None
]) – Predictors used in the original model fit. In order for cross-prediction to be accurate,x
needs to match thex
used in the original fit exactly in cases and time.ds (
Optional
[Dataset
]) – Dataset with predictors. Ifds
is specified,x
can be omitted.
See also
convolve
Simple prediction of linear model
Notes
This function does not adjust the mean across time of predicted responses; subtract the mean in order to compute explained variance.
- Return type
NDVar