Unverified Commit 3032b646 authored by Miguel Trejo Marrufo's avatar Miguel Trejo Marrufo Committed by GitHub
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[python-package][docs] Booster eval methods accept list of callables (#5054)

* docs: booster eval methods accept list of callables

* docs: remove extra space
parent 0ef8fe0d
...@@ -3143,9 +3143,9 @@ class Booster: ...@@ -3143,9 +3143,9 @@ class Booster:
Data for the evaluating. Data for the evaluating.
name : str name : str
Name of the data. Name of the data.
feval : callable or None, optional (default=None) feval : callable, list of callable, or None, optional (default=None)
Customized evaluation function. Customized evaluation function.
Should accept two parameters: preds, eval_data, Each evaluation function should accept two parameters: preds, eval_data,
and return (eval_name, eval_result, is_higher_better) or list of such tuples. and return (eval_name, eval_result, is_higher_better) or list of such tuples.
preds : numpy 1-D array or numpy 2-D array (for multi-class task) preds : numpy 1-D array or numpy 2-D array (for multi-class task)
...@@ -3189,9 +3189,9 @@ class Booster: ...@@ -3189,9 +3189,9 @@ class Booster:
Parameters Parameters
---------- ----------
feval : callable or None, optional (default=None) feval : callable, list of callable, or None, optional (default=None)
Customized evaluation function. Customized evaluation function.
Should accept two parameters: preds, eval_data, Each evaluation function should accept two parameters: preds, eval_data,
and return (eval_name, eval_result, is_higher_better) or list of such tuples. and return (eval_name, eval_result, is_higher_better) or list of such tuples.
preds : numpy 1-D array or numpy 2-D array (for multi-class task) preds : numpy 1-D array or numpy 2-D array (for multi-class task)
...@@ -3220,9 +3220,9 @@ class Booster: ...@@ -3220,9 +3220,9 @@ class Booster:
Parameters Parameters
---------- ----------
feval : callable or None, optional (default=None) feval : callable, list of callable, or None, optional (default=None)
Customized evaluation function. Customized evaluation function.
Should accept two parameters: preds, eval_data, Each evaluation function should accept two parameters: preds, eval_data,
and return (eval_name, eval_result, is_higher_better) or list of such tuples. and return (eval_name, eval_result, is_higher_better) or list of such tuples.
preds : numpy 1-D array or numpy 2-D array (for multi-class task) preds : numpy 1-D array or numpy 2-D array (for multi-class task)
......
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