Return the inner product(s) between real vectors / corpora vec1 and vec2 expressed in a non-orthogonal normalized basis, where the dot product between the basis vectors is given by the sparse term similarity matrix. Parameters vec1 (list of (int, float) or iterable of list of (int, floa...
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Usually, node similarities are investigated to assess the relatedness between biological objects in a network of interest, and node embeddings are widely used for studying novel interaction from a topological point of view. About that, the state-of-the-art presents ...
What are the key differences between MySQL and PostgreSQL? MySQL is well-known for its speed and dependability, and is frequently used for web applications and online transactions due to its simple and effective data management method. PostgreSQL stands out for its advanced features, such as suppor...
Get similarity between query and this index. Warning Do not use this function directly, use the __getitem__ instead. Parameters query ({list of (int, number), iterable of list of (int, number), scipy.sparse.csr_matrix}) – Document or collection of documents. Returns Similarity matrix. ...