Align assignment files with solutions (#159)

pkeilbach · Oct 21, 2024 · 7d8e09e · 7d8e09e
1 parent 4777f91
commit 7d8e09e
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Showing 3 changed files with 5 additions and 9 deletions.
diff --git a/.gitignore b/.gitignore
@@ -2,10 +2,6 @@
 .idea/
 .vscode/
 
-# assignment solutions
-*_private.py
-*_private.ipynb
-
 # local files
 local/
 

diff --git a/notebooks/minimum_edit_distance.ipynb b/notebooks/minimum_edit_distance.ipynb
@@ -742,7 +742,7 @@
    ]
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -756,7 +756,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

diff --git a/src/htwgnlp/naive_bayes.py b/src/htwgnlp/naive_bayes.py
@@ -26,9 +26,9 @@ class NaiveBayes:
 
     Attributes:
         word_probabilities (pd.DataFrame): the word probabilities per class, None before training
-        df_freqs (pd.DataFrame): the word frequencies per class, None before training
-        log_ratios (pd.Series): the log ratios of the word probabilities, None before training
-        logprior (float): the logprior of the model, 0 before training
+        df_freqs (pd.DataFrame): the word frequencies per class, None before training. The index of the DataFrame is the vocabulary.
+        log_ratios (pd.Series): the log ratios of the word probabilities, None before training. The index of the Series is the vocabulary.
+        logprior (float): the logprior of the model, 0 before training. The index of the Series is the vocabulary.
         alpha (float): the smoothing parameter of the model
     """