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 1nrjn9y zezsghbyv9ocn base conversion docid\ qb63ztx4jivg50g9ogqrw combination processor docid\ swdd2cw5jja1comd1h4xa conversion docid\ dvo2vt2homfpxshsibfsq expression docid\ fc73s2rpqzzlqzbrpz5fh feature extractor docid\ tbhl y4ye26 6oxugfstq gaussian filter docid 5lplaswszvirda2v s1xn input processors docid 2xzb8kidbyzavj7rq n7x join processor docid\ owpm8ymi4slgy1sjbongm linear prediction docid 8gkkdolhpatj1314svdpu moving window docid\ deh96ipiba3u58makiwsk normalization docid\ rg3qyge4p meeehg3kqxm rise and fall docid\ pu2tgzqw7dgg7h6dg30lb rounding docid\ ks0nw8thvp hgv9tkioxt signal decomposition docid\ brcobe2v8hujzb lrkald simple window docid 7 ihrpgft10teo8hlzapp statistical functions docid\ isjfgnb2alhlh2urgtjgj statistical prediction docid\ ae8c8pgq1xmzbtshdorbw tengo script docid\ nrexzlurdtgldbi919sss tensorflow images processor docid\ glm8ly8vxfvbba9oqg4ia tensorflow processor docid\ gllj89ea9tlb8ef79ix11 xmr chart docid\ gwxjqb hpr0pxp es2ele