Update documents. (#6856)
* Add early stopping section to prediction doc. * Remove best_ntree_limit. * Better doxygen output.
This commit is contained in:
@@ -744,13 +744,13 @@ XGB_DLL int XGBoosterPredict(BoosterHandle handle,
|
||||
* following available fields in the JSON object:
|
||||
*
|
||||
* "type": [0, 6]
|
||||
* 0: normal prediction
|
||||
* 1: output margin
|
||||
* 2: predict contribution
|
||||
* 3: predict approximated contribution
|
||||
* 4: predict feature interaction
|
||||
* 5: predict approximated feature interaction
|
||||
* 6: predict leaf
|
||||
* - 0: normal prediction
|
||||
* - 1: output margin
|
||||
* - 2: predict contribution
|
||||
* - 3: predict approximated contribution
|
||||
* - 4: predict feature interaction
|
||||
* - 5: predict approximated feature interaction
|
||||
* - 6: predict leaf
|
||||
* "training": bool
|
||||
* Whether the prediction function is used as part of a training loop. **Not used
|
||||
* for inplace prediction**.
|
||||
@@ -773,7 +773,8 @@ XGB_DLL int XGBoosterPredict(BoosterHandle handle,
|
||||
* disregarding the use of multi-class model, and leaf prediction will output 4-dim
|
||||
* array representing: (n_samples, n_iterations, n_classes, n_trees_in_forest)
|
||||
*
|
||||
* Run a normal prediction with strict output shape, 2 dim for softprob , 1 dim for others.
|
||||
* Example JSON input for running a normal prediction with strict output shape, 2 dim
|
||||
* for softprob , 1 dim for others.
|
||||
* \code
|
||||
* {
|
||||
* "type": 0,
|
||||
|
||||
Reference in New Issue
Block a user