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\ oanc2xvrf vmpvwvl9zeo base conversion docid\ nakf9pv2923wudnk7v8ay change docid\ vtr272ie jam2gcxxlod combination processor docid\ ojno3w teefgmksq6kdeo conversion docid 3jcdbpd9z0ch aespc1 t expression docid\ l4wm1mz2rd5krzb56a2zy feature extractor docid\ ihdxi0yxnsvykhkcc68pk gaussian filter docid\ dnhksjy9bfuselcfo6pla inputs docid\ tdajwjp8442h0xe alsu2 join processor docid\ l kad6jdp6jxepxsgtjeo linear prediction docid xtt2nop7bwjf6dehc01y moving window docid\ oizacnfh7awi4 evc7xwd file reading processor docid 7q0b lrm4ve4t6wg283ww normalization docid\ ujafw 3r8ii35re gjy7z rise and fall docid\ idpwjjbxrfvostfyjyta7 rounding docid 4ovrujmc68cgd owmkq1i signal decomposition docid\ hi7vaofoyaihitcx2xvgs simple window docid\ yvaldanlb1q4lqdzo82fz statistical functions docid\ ajfukr3pgb1fwdwdya0p1 statistical prediction docid\ ip8 uuf7q kgk5foxt 0z switch docid\ ifezzlax1g2rsdjncjstz tengo script docid 2agbvhjutmfunur 9z7yw tensorflow images processor docid\ tif714q103 7cra2ry44p tensorflow processor docid\ qkgsms2eocvzha2lyaukl xmr chart docid 05rqyz5 q0a1hxwm02bso