Python VectorStore.most_similar Examples

Programming Language: Python

Namespace/Package Name: sense2vec.vectors

Class/Type: VectorStore

Method/Function: most_similar

Examples at hotexamples.com: 2

Python VectorStore.most_similar - 2 examples found. These are the top rated real world Python examples of sense2vec.vectors.VectorStore.most_similar extracted from open source projects. You can rate examples to help us improve the quality of examples.

Frequently Used Methods

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VectorStore(3)

add(2)

borrow(1)

mem(1)

most_similar(1)

Example #1

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File: test_vectors.py Project: spacy-io/sense2vec

def test_most_similar():
    vecs = VectorStore(4)
    vecs.add(numpy.asarray([4, 2, 2, 2], dtype="float32"))
    vecs.add(numpy.asarray([4, 4, 2, 2], dtype="float32"))
    vecs.add(numpy.asarray([4, 4, 4, 2], dtype="float32"))
    vecs.add(numpy.asarray([4, 4, 4, 4], dtype="float32"))

    indices, scores = vecs.most_similar(numpy.asarray([4, 2, 2, 2], dtype="float32"), 4)
    print(list(scores))
    assert list(indices) == [0, 1]
    indices, scores = vecs.most_similar(numpy.asarray([0.1, 1, 1, 1], dtype="float32"), 4)
    assert list(indices) == [4, 3]

Example #2

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File: test_vectors.py Project: yocheah/sense2vec

def test_most_similar():
    vecs = VectorStore(4)
    vecs.add(numpy.asarray([4,2,2,2], dtype='float32'))
    vecs.add(numpy.asarray([4,4,2,2], dtype='float32'))
    vecs.add(numpy.asarray([4,4,4,2], dtype='float32'))
    vecs.add(numpy.asarray([4,4,4,4], dtype='float32'))

    indices, scores = vecs.most_similar(
        numpy.asarray([4,2,2,2], dtype='float32'), 4)
    print(list(scores))
    assert list(indices) == [0,1]
    indices, scores = vecs.most_similar(
        numpy.asarray([0.1,1,1,1], dtype='float32'), 4)
    assert list(indices) == [4,3]