spec2vec
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reduce the size score after calling calculate_stores
Hi, After training spec2vec model and creating spec2vec_similarity function, I used calculate_scores to find the similarity of spectra pairs scores = calculate_scores(reference_documents, query_spectrums, spec2vec_similarity) However the size scores is too big to process it, how can I reduce the size of scores by saving only the non-zero scores with their related reference and query scan numbers? Thanks!
We are currently working on such a sparse implementation. I hope this will be ready very soon (few weeks... again: I hope).
Done and outdated.