diff --git a/README.md b/README.md
index b5636a56..e4379bc5 100644
--- a/README.md
+++ b/README.md
@@ -125,6 +125,13 @@ $ Rscript abess/docs/simulation/R/timings.R
 
 ## What's news
 
+New features version `4.7`:
+
+- Support limiting beta into a range by clipping method. One application is to perform non-negative fitting.
+- Support no-intercept model for most regressors in ``abess.linear`` with argument ``fit_intercept=False``. We assume that the data has been centered for these models.
+- Support AUC criterion for Logistic and Multinomial Regression.
+
+
 New features version `4.6`:
 
 - Support no-intercept model for most regressors in `abess.linear` with argument `fit_intercept=False`. We assume that the data has been centered for these models. (Python)
diff --git a/docs/Changelog.rst b/docs/Changelog.rst
index 93cc0a31..01eece47 100644
--- a/docs/Changelog.rst
+++ b/docs/Changelog.rst
@@ -5,14 +5,23 @@ Unreleased
 ----------
 
 -  Python package
+-  R package
 
-   -  Use `CMake <https://cmake.org/>`__ on compiling to increase scalability.
-   -  Support no-intercept model for most regressors in `abess.linear` with argument `fit_intercept=False`. We assume that the data has been centered for these models.
+   -  abess can be used in mlr3extralearners, a package like scikit-learn. Please see `mlr3extralearners <https://github.com/mlr-org/mlr3extralearners/>`__ for usage. 
+
+Version 0.4.7
+-------------
 
 -  R package
+-  Python package
 
-   -  abess can be used in mlr3extralearners, a package like scikit-learn. Please see `mlr3extralearners <https://github.com/mlr-org/mlr3extralearners/>`__ for usage. 
+   -  Support no-intercept model for most regressors in ``abess.linear`` with argument ``fit_intercept=False``. We assume that the data has been centered for these models.
+   -  Use `CMake <https://cmake.org/>`__ on compiling to increase scalability.
+
+-  C++
 
+   -  Support limiting beta into a range by clipping method. One application is to perform non-negative fitting.
+   -  Support AUC criterion for Logistic and Multinomial Regression.
 
 Version 0.4.6
 -------------
@@ -20,11 +29,11 @@ Version 0.4.6
 -  R package
 -  Python package
 
-   -  Support `score` function for all GLM estimators.
+   -  Support ``score`` function for all GLM estimators.
    -  Rearrange some arguments to improve legibility. 
       Please check `here <https://abess.readthedocs.io/en/latest/Python-package/index.html>`__ for the latest API.
    -  Better docstring, e.g. move important arguments to the front.
-   -  Combine `metrics.py` and `functions.py`.
+   -  Combine ``metrics.py`` and ``functions.py``.
 
 -  C++
 
diff --git a/python/abess/__init__.py b/python/abess/__init__.py
index ff785e08..73e61379 100644
--- a/python/abess/__init__.py
+++ b/python/abess/__init__.py
@@ -5,7 +5,7 @@
 # @Site    :
 # @File    : __init__.py
 
-__version__ = "0.4.7rc1"
+__version__ = "0.4.7"
 __author__ = ("Jin Zhu, Kangkang Jiang, "
               "Junhao Huang, Yanhang Zhang, "
               "Yanhang Zhang, Shiyun Lin, "