18 lines
448 B
Python
18 lines
448 B
Python
import gensim
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import numpy
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from numpy import dot
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from numpy.linalg import norm
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MODEL_INPUT = '../data/models/doc2vec.model'
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def cos_dist(v0, v1):
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return dot(v0, v1) / (norm(v0) * norm(v1))
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class Metric:
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def __init__(self, model_input=MODEL_INPUT):
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self.model = gensim.models.doc2vec.Doc2Vec.load(model_input)
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def vector(self, text: str):
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tokens = gensim.utils.simple_preprocess(text, max_len=25)
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return self.model.infer_vector(tokens) |