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Issue with Most Similar Words with Vectorized Dictionary. #1

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Issue with Most Similar Words with Vectorized Dictionary. #1

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930a1db
init
batuhaneralp Dec 23, 2021
2f30349
Merge branch 'StarlangSoftware:master' into master
batuhaneralp Dec 24, 2021
9f66dc5
mostSimilarWord takes VectorizedWord instead of str
batuhaneralp Dec 24, 2021
0f5c418
Cleared debugging code
batuhaneralp Dec 24, 2021
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5 changes: 3 additions & 2 deletions Dictionary/VectorizedDictionary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ def addWord(self, word: VectorizedWord):
"""
self.words.append(word)

def mostSimilarWord(self, name: str) -> VectorizedWord:
def mostSimilarWord(self, word: VectorizedWord) -> VectorizedWord:
"""
The mostSimilarWord method takes a String name as an input, declares a maxDistance as -1 and creates a
VectorizedWord word by getting the given name from words list. Then, it loops through the words list and if the
Expand All @@ -43,9 +43,10 @@ def mostSimilarWord(self, name: str) -> VectorizedWord:
"""
maxDistance = -1
result = None
word = self.getWord(name)
#word = self.getWord(name)
if word is None:
return None

for currentWord in self.words:
if currentWord != word and isinstance(word, VectorizedWord):
distance = word.getVector().dotProduct(currentWord.getVector())
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