Remove unused transform

transforms_cased.py

@@ -17,7 +17,6 @@ __all__ = [
     "DropWords",
     "FilterPOS",
     "FrequencyMinWordCount",
-    "FrequencyTopK",
     "ReplaceSeparators",
     "ToLowercase",
     "ToSingular",
@@ -257,43 +256,6 @@ class FrequencyMinWordCount(BaseTextTransform):
         return f"{self.__class__.__name__}(min_count={self.min_count})"
 
 
-class FrequencyTopK(BaseTextTransform):
-    """Keep only the top k most frequent words in the input text.
-
-    In case of a tie, all words with the same count as the last word are kept.
-
-    Args:
-        top_k (int): Number of top words to keep.
-    """
-
-    def __init__(self, top_k: int) -> None:
-        super().__init__()
-        self.top_k = top_k
-
-    def __call__(self, text: str) -> str:
-        """
-        Args:
-            text (str): Text to remove infrequent words from.
-        """
-        if self.top_k < 1:
-            return text
-
-        words = text.split()
-        word_counts = {word: words.count(word) for word in words}
-        top_words = sorted(word_counts, key=word_counts.get, reverse=True)
-
-        # in case of a tie, keep all words with the same count
-        top_words = top_words[: self.top_k]
-        top_words = [word for word in top_words if word_counts[word] == word_counts[top_words[-1]]]
-
-        text = " ".join([word for word in words if word in top_words])
-
-        return text
-
-    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(top_k={self.top_k})"
-
-
 class ReplaceSeparators(BaseTextTransform):
     """Replace underscores and dashes with spaces."""