modified: README.md

	modified:   setup.py
	modified:   ytopt/__version__.py

README.md

@@ -31,7 +31,7 @@ Additional documentation is available on [Read the Docs](https://ytopt.readthedo
 * We recommend creating isolated Python environments on your local machine using [conda](https://docs.conda.io/projects/conda/en/latest/index.html), for example:
 
 ```
-conda create --name ytune python=3.10
+conda create --name ytune python=3.11
 conda activate ytune
 ```
 
@@ -71,11 +71,6 @@ pip install -e .
 
 After installing ConfigSpace, Scikit-optimize, autotune, and ytopt successfully, the autotuning framework ytopt is ready to use. Browse the ``ytopt/benchmark`` directory for an extensive collection of examples, or access [ytopt-libensemble](https://github.com/ytopt-team/ytopt-libensemble) for the latest examples with new features.
 
-* If needed, uninstall scikit-optimize to prevent import confusion with dh-scikit-optimize
-```
-pip uninstall scikit-optimize
-```
-
 * [Optional] Install [CConfigSpace](https://github.com/argonne-lcf/CCS.git):
     * Prerequisites: ``autotools`` and ``gsl``
         * Ubuntu

setup.py

@@ -27,8 +27,8 @@
     # 'requests', 'maya', 'records',
     'numpy',
     #'scikit-optimize',
-    'scikit-learn==1.5.0',
-    'pandas==1.5.3',
+    'scikit-learn==1.0.2',
+    #'pandas==1.5.3',
     'tqdm',
     #'tensorflow==1.14.0',
     #'keras',

ytopt/__version__.py

@@ -1,3 +1,3 @@
-VERSION = (0, 0, 5)
+VERSION = (0, 1, 0)
 
 __version__ = '.'.join(map(str, VERSION))