Minor fixes

B-Analytics · Dec 11, 2024 · 47cd440 · 47cd440
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diff --git a/diPLSlib.egg-info/PKG-INFO b/diPLSlib.egg-info/PKG-INFO
@@ -16,7 +16,7 @@ Requires-Dist: matplotlib
 Requires-Dist: scipy
 Requires-Dist: scikit-learn
 
-# Domain-invariant partial least squares regression (di-PLS)
+# diPLSlib: A Python library for domain adaptation in multivariate calibration
 
 ![](https://img.shields.io/badge/python-3.13-blue.svg)
 ![](https://static.pepy.tech/badge/diplslib)
@@ -88,11 +88,11 @@ m.fit(X, y)
 ## Examples
 For more examples, please refer to the [Notebooks](notebooks):
 
-- [Domain adaptation with di-PLS](notebooks/demo_diPLS.ipynb)
-- [Including multiple domains (mdi-PLS)](notebooks/demo_mdiPLS.ipynb)
-- [Implicit calibration transfer with GCT-PLS](notebooks/demo_gctPLS.ipynb)
-- [Model selection with `scikit-learn`](notebooks/demo_ModelSelection_SciKitLearn.ipynb)
-- [Privacy-preserving regression with EDPLS](notebooks/demo_edPLS.ipynb)
+- [Domain adaptation with di-PLS](https://github.com/B-Analytics/diPLSlib/blob/main/notebooks/demo_diPLS.ipynb)
+- [Including multiple domains (mdi-PLS)](https://github.com/B-Analytics/diPLSlib/blob/main/notebooks/demo_mdiPLS.ipynb)
+- [Implicit calibration transfer with GCT-PLS](https://github.com/B-Analytics/diPLSlib/blob/main/notebooks/demo_gctPLS.ipynb)
+- [Model selection with `scikit-learn`](https://github.com/B-Analytics/diPLSlib/blob/main/notebooks/demo_ModelSelection_SciKitLearn.ipynb)
+- [Privacy-preserving regression with EDPLS](https://github.com/B-Analytics/diPLSlib/blob/main/notebooks/demo_edPLS.ipynb)
 
 # Documentation
 The documentation can be found [here](https://di-pls.readthedocs.io/en/latest/diPLSlib.html).
@@ -117,7 +117,7 @@ Knowledge-Based Systems, Volume 210, 2020, https://doi.org/10.1016/j.knosys.2020
 
 - *Ramin Nikzad-Langerodi & Florian Sobieczky (2021). Graph‐based calibration transfer. Journal of Chemometrics, 35(4), e3319. https://doi.org/10.1002/cem.3319*
 
-- *Ramin Nikzad-Langerodi, Du Nguyen Duy, Mohit Kumar and Mathab Alghasi (2024), "(epsilon, delta)-differentially private parital least squares regression", unpublished.*
+- *Ramin Nikzad-Langerodi,  Mohit Kumar, Du Nguyen Duy, and Mahtab Alghasi (2024), "(epsilon, delta)-Differentially Private Partial Least Squares Regression", unpublished.*
 
 # Contact us
 Bottleneck Analytics GmbH  

diff --git a/doc/conf.py b/doc/conf.py
@@ -13,7 +13,7 @@
 project = 'diPLSlib'
 copyright = '2024, Ramin Nikzad-Langerodi'
 author = 'Ramin Nikzad-Langerodi'
-release = '2.4.0'
+release = '2.4.1'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

diff --git a/setup.py b/setup.py
@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="diPLSlib",
-    version="2.4.0",
+    version="2.4.1",
     author="Ramin Nikzad-Langerodi",
     author_email="[email protected]",
     description="Python package for domain adaptation in multivariate regression",