Updating version number

Author: elemets

README.md

@@ -2,24 +2,26 @@
 
 <img src="https://github.com/uclamii/model_tuner/blob/main/assets/modeltunersmaller.png?raw=true" width="250" style="border: none; outline: none; box-shadow: none;" oncontextmenu="return false;">
 
-<br> 
+<br>
 
 [![Downloads](https://pepy.tech/badge/model_tuner)](https://pepy.tech/project/model_tuner) [![PyPI](https://img.shields.io/pypi/v/model_tuner.svg)](https://pypi.org/project/model_tuner/) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.12727322.svg)](https://doi.org/10.5281/zenodo.12727322)
 
-
 The `model_tuner` library is a versatile and powerful tool designed to facilitate the training, evaluation, and tuning of machine learning models. It supports various functionalities such as handling imbalanced data, applying different scaling and imputation techniques, calibrating models, and conducting cross-validation. This library is particularly useful for model selection, hyperparameter tuning, and ensuring optimal performance across different metrics.
 
 ## Prerequisites
 
 Before installing `model_tuner`, ensure your system meets the following requirements:
 
 ## Python Version
+
 `model_tuner` requires **Python 3.7 or higher**. Specific dependency versions vary depending on your Python version.
 
 ## Dependencies
+
 The following dependencies will be automatically installed when you install `model_tuner` via pip:
 
 ### For Python 3.7:
+
 - `joblib==1.3.2`
 - `tqdm==4.66.4`
 - `catboost==1.2.7`
@@ -32,6 +34,7 @@ The following dependencies will be automatically installed when you install `mod
 - `xgboost==1.6.2`
 
 ### For Python 3.8 to 3.10:
+
 - `joblib==1.3.2`
 - `tqdm==4.66.4`
 - `catboost==1.2.7`
@@ -46,6 +49,7 @@ The following dependencies will be automatically installed when you install `mod
 - `xgboost==2.1.2`
 
 ### For Python 3.11 and higher:
+
 - `joblib==1.3.2`
 - `tqdm==4.66.4`
 - `catboost==1.2.7`
@@ -59,7 +63,6 @@ The following dependencies will be automatically installed when you install `mod
 - `scikit-optimize==0.10.2`
 - `xgboost==2.1.2`
 
-
 ## 💾 Installation
 
 You can install `model_tuner` directly from PyPI:
@@ -93,18 +96,16 @@ If you use `model_tuner` in your research or projects, please consider citing it
   month        = jul,
   year         = 2024,
   publisher    = {Zenodo},
-  version      = {0.0.25a},
+  version      = {0.0.26b},
   doi          = {10.5281/zenodo.12727322},
   url          = {https://doi.org/10.5281/zenodo.12727322}
 }
 ```
 
-
 ## Support
 
 If you have any questions or issues with `model_tuner`, please open an issue on this [GitHub repository](https://github.com/uclamii/model_tuner/).
 
-
 ## Acknowledgements
 
 This work was supported by the UCLA Medical Informatics Institute (MII) and the Clinical and Translational Science Institute (CTSI). Special thanks to Dr. Alex Bui for his invaluable guidance and support, and to Panayiotis Petousis for his original contributions to this codebase.

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "model_tuner"
-version = "0.0.25a"
+version = "0.0.26b"
 description = "A Python library for tuning machine learning models."
 readme = { file = "README.md", content-type = "text/markdown" }
 authors = [

src/model_tuner/__init__.py

@@ -19,15 +19,15 @@
 Documentation: https://uclamii.github.io/model_tuner/
 
 
-Version: 0.0.25a
+Version: 0.0.26b
 
 """
 
 # Assign only the detailed documentation to __doc__
 __doc__ = detailed_doc
 
 
-__version__ = "0.0.25a"
+__version__ = "0.0.26b"
 __author__ = "Arthur Funnell, Leonid Shpaner, Panayiotis Petousis"
 __email__ = "[email protected]; [email protected]; [email protected]"