signal_similarity | R Documentation |
compute the similarity between seed and query signals
signal_similarity(seed, query, method = "pearson", digits = 4)
seed |
seed signal |
query |
query signal |
Chunking cost and signal into smaller chunks to run the correlation score in paralell. There is room for improvement here. First we could dispatch the longer list to future_lapply but cannot know which one it is and we need to know that so we can subset the cost. Also the functions calls feature_cost which is a R wrapper for a c++ function (cost.cpp).
matrix with query as rows and seed as colmuns
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