compute the similarity between seed and query signals

Usage

signal_similarity(seed, query, method = "pearson", digits = 4)

Arguments

seed: seed signal
query: query signal

Value

matrix with query as rows and seed as colmuns

Details

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).