Statistical Functions

the analytics module makes use of built in statistical functions to process the input data this section describes the currently available statistical functions anomaly detection docid\ hunvvoy4lai25emql3ite base conversion docid\ uhsgfpkjkvq4jhrzrkjtt combination processor docid 5ylish9frxpwipiz5zmnd conversion docid nglltrxzc5hmgzced2p expression docid\ stajlpaqrenr rcwyv0 f feature extractor docid\ moktn2ltijumgszpdu5se gaussian filter docid 0xaboothmh7sv9qsgnctk inputs docid\ augrpvrmjzittc4lqdt47 join processor docid 8fojirj1tzhppurbwzhys linear prediction docid\ wt1jday7aleuk23ezd3cc moving window docid\ p0yx55a5btj4zqjg9urre normalization docid 0saqrdr68d9xkvkt8wmyh rise and fall docid\ yrbjhof8eykmbfndiedam rounding docid 0v2s3ajp1zlcgd szy8ih signal decomposition docid\ brmfbtvhouf2tcwc3wci2 simple window docid\ ilcqt80cu3yjmxsaouyjx statistical functions docid\ ssnvcljrxpb2eirlnsiqb statistical prediction docid 1gvah dweutlouap0ccuc tengo script docid\ vpyv26qzbje6ovjwrpkog tensorflow images processor docid\ fgsjkq7vgtr3nbhgc3jzx tensorflow processor docid\ clbzoxxyqhbac2a4 6jsk xmr chart docid\ iokporpnkcesuc qghjgy