Minor bug fixes after introduction of dtuimldmtools

exercises/02450Toolbox_Python/Scripts/ex3_1_3.py

@@ -3,9 +3,7 @@ import importlib_resources
 from sklearn.feature_extraction.text import CountVectorizer
 
 filename_docs = importlib_resources.files("dtuimldmtools").joinpath("data/textDocs.txt")
-filename_stop = importlib_resources.files("dtuimldmtools").joinpath(
-    "stopWords.txt"
-)
+filename_stop = importlib_resources.files("dtuimldmtools").joinpath("data/stopWords.txt")
 
 # As before, load the corpus and preprocess:
 with open(filename_docs, "r") as f:

exercises/02450Toolbox_Python/Scripts/ex3_1_4.py

@@ -9,9 +9,7 @@ from nltk.stem import PorterStemmer
 from sklearn.feature_extraction.text import CountVectorizer
 
 filename_docs = importlib_resources.files("dtuimldmtools").joinpath("data/textDocs.txt")
-filename_stop = importlib_resources.files("dtuimldmtools").joinpath(
-    "stopWords.txt"
-)
+filename_stop = importlib_resources.files("dtuimldmtools").joinpath("data/stopWords.txt")
 
 # As before, load the corpus and preprocess:
 with open(filename_docs, "r") as f: