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Text Summarization using LSA in Apache Spark

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Avoid redundant np.array(np.transpose(...)) – use .T instead

https://github.com/iamprem/summarizer/blob/373aedfee1526dfa6ebd5a4789371e9f3140c61b/lsa.py#L43 In the code: `idfvector = numpy.array(numpy.transpose(idfvector)) ` both np.transpose() and np.array() return a NumPy array, so wrapping the result of np.transpose() in np.array() is redundant and causes unnecessary memory...

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Text Summarization using LSA in Apache Spark

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