From b12d7195261f92010dcabc5827cafd3304c6ce88 Mon Sep 17 00:00:00 2001
From: dantp-ai <1534513+dantp-ai@users.noreply.github.com>
Date: Tue, 10 Dec 2024 22:03:32 +0100
Subject: [PATCH] Fix typo in readme for output values of confusion matrix when
 `normalize` is used

 * Also, specify valid values for `normalize` in Inputs section.
---
 metrics/confusion_matrix/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/metrics/confusion_matrix/README.md b/metrics/confusion_matrix/README.md
index c7ae9482..eee676a4 100644
--- a/metrics/confusion_matrix/README.md
+++ b/metrics/confusion_matrix/README.md
@@ -54,11 +54,11 @@ At minimum, this metric requires predictions and references as inputs.
 - **references** (`list` of `int`): Ground truth labels.
 - **labels** (`list` of `int`): List of labels to index the matrix. This may be used to reorder or select a subset of labels.
 - **sample_weight** (`list` of `float`): Sample weights.
-- **normalize** (`str`): Normalizes confusion matrix over the true (rows), predicted (columns) conditions or all the population. 
+- **normalize** (`str`): Normalizes confusion matrix over the true (rows), predicted (columns) conditions or all the population. (Valid values are `'pred', 'all', 'true'` or `None`).
 
 
 ### Output Values
-- **confusion_matrix**(`list` of `list` of `str`): Confusion matrix. Minimum possible value is 0. Maximum possible value is 1.0, or the number of examples input, if `normalize` is set to `True`.
+- **confusion_matrix** (`list` of `list` of `str`): Confusion matrix. Minimum possible value is 0. Maximum possible value is 1.0, or the number of examples in the input, if `normalize` is set to `None` (default value).
 
 Output Example(s):
 ```python