Fix some typos and format changes

- Fix spelling 'mistake'

- Fix another typo

- Fix shields.io badge using new format

- Fix hopefully final typo

README.md

@@ -1,6 +1,6 @@
 # MODNet: Material Optimal Descriptor Network
 
-[![arXiv](https://img.shields.io/badge/arXiv-2004.14766-brightgreen)](https://arxiv.org/abs/2004.14766) [![Build Status](https://img.shields.io/github/workflow/status/ppdebreuck/modnet/Run%20tests?logo=github)](https://github.com/ppdebreuck/modnet/actions?query=branch%3Amaster+) [![Read the Docs](https://img.shields.io/readthedocs/modnet)](https://modnet.readthedocs.io/en/latest/)
+[![arXiv](https://img.shields.io/badge/arXiv-2004.14766-brightgreen)](https://arxiv.org/abs/2004.14766) [![Build Status](https://img.shields.io/github/actions/workflow/status/ppdebreuck/modnet/ci.yml?logo=github&branch=main)](https://github.com/ppdebreuck/modnet/actions?query=branch%3Amaster+) [![Read the Docs](https://img.shields.io/readthedocs/modnet)](https://modnet.readthedocs.io/en/latest/)
 
 <a name="introduction"></a>
 ## Introduction

modnet/featurizers/presets/debreuck_2020.py

@@ -35,12 +35,14 @@ def __init__(self, fast_oxid: bool = False):
         """
         import matminer
 
-        if matminer.__version__ != self.package_version_requirements["matminer"]:
+        if matminer.__version__ != self.package_version_requirements[
+            "matminer"
+        ].replace("==", ""):
             warnings.warn(
                 f"The {self.__class__.__name__} preset was written for and tested only with matminer{self.package_version_requirements['matminer']}.\n"
                 "Newer versions of matminer will not work, and older versions may not be compatible with newer MODNet versions due to other conflicts.\n"
                 "To use this featurizer robustly, please install `modnet==0.1.13` with its pinned dependencies.\n\n"
-                "This preset will now be initialised without importing matminer featurisers to enable use with existing previously featurized data, "
+                "This preset will now be initialised without importing matminer featurizers to enable use with existing previously featurized data, "
                 "but attempts to perform further featurization will result in an error."
             )
 
@@ -246,7 +248,7 @@ def featurize_site(self, df):
 
 class CompositionOnlyFeaturizer(DeBreuck2020Featurizer):
     """This subclass simply disables structure and site-level features
-    frm the main `DeBreuck2020Featurizer` class.
+    from the main `DeBreuck2020Featurizer` class.
 
         **Materials property prediction for limited datasets enabled
         by feature selection and joint learning with MODNet**

modnet/featurizers/presets/matminer_2023.py

@@ -218,7 +218,7 @@ def featurize_site(self, df):
 
 class CompositionOnlyMatminer2023Featurizer(Matminer2023Featurizer):
     """This subclass simply disables structure and site-level features
-    frm the main `Matminer2023Featurizer` class.
+    from the main `Matminer2023Featurizer` class.
 
     This should yield identical results to the original 2020 version.